Systems | Development | Analytics | API | Testing

February 2024

Inside DataOps: 3 Ways DevOps Analytics Can Create Better Products

Can DataOps help data consumers reveal and take action on powerful product insights hidden in operational data? For many companies, the answer is yes! The emerging practice of DataOps applies Agile development principles and DevOps best practices (e.g. collaboration, automation, monitoring and logging, observability) to data science and engineering, making it faster and easier for organizations to uncover valuable product insights that enable innovation.

The Sliding Doors for ESG Reporting

In my first post of this new blog series, I introduced the concept of “sliding doors” for creating value with data: the divergent paths that organizations can take which can lead to great - or not so great - outcomes. In this post, I want to explore this for what has become a new data imperative for organizations today: effectively reporting their environmental, social and governance (ESG) data to meet new regulations.

Simplify Spatial Indexing with the Power of H3 - What the World Needs Now Is a Hexagonal Grid

Did you know that approximately two thirds of Snowflake customers capture the latitude and longitude of some business entity or event in their account? While latitude and longitude columns can often be used by BI tools and Python libraries to plot points on a map, or shade common administrative boundaries such as states, provinces and countries, companies can do so much more with this valuable geospatial data to perform complex analyses.

Troubleshooting Common JSON Import Errors

Struggling with JSON import errors can be a stretch for any developer. Whether it’s syntax mistakes, data format mismatches, or file issues, these errors can halt your data processing in its tracks. This article gives you direct answers on the most common JSON import errors and clear, workable solutions to fix them. Dive into the details to save time and transform obstacles into smooth data transitions.

Unravel Data Product Update: Boost Databricks productivity, performance, and efficiency

Product Update: Boost Databricks productivity, performance, and efficiency Right now, 88% of companies surveyed are failing to achieve optimal price/performance for their analytics workloads. Why? They don’t have the staff, their skilled engineers spend too much time doing toilsome work, and they are unable to optimize data workloads for performance and efficiency. With this in mind, Unravel is hosting a live event to help you leverage Unravel to achieve productivity, performance, and cost efficiency with Databricks.

Moving Data Into Snowflake From SAP NetWeaver Using SNP Glue Connector

Benjamin Deaver, Senior Solutions Architect at SNP Group, sits down with "Powered by Snowflake" host Felipe Hoffa to demonstrate the operation of SNP Glue Connector for SAP, a Snowflake Native Application. Its purpose is to push data to Snowflake from the SAP NetWeaver stack and then consolidate it and merge it together.

Episode 3: Taming data chaos in digital advertising | Tinuiti

Lakshmi Ramesh, Vice President of Data Services at Tinuiti, which services brands like Rite Aid, Nestle, and Instacart, joins us to talk about her work at the intersection of tech, data and marketing. We discuss how the company manages data from hundreds of platforms to serve both clients and internal teams.

#shorts - Tabular Reporting PDF Output Just Added #data #visualization #qlik #qliksense

Create dynamic tabular reports by combining the Qlik add-in for Microsoft Excel with report preparation features available within a Qlik Sense app. Deliver report output by email and to folders defined in Microsoft SharePoint connections. Reports can be in.xlsx or PDF format.

What is the Listen to Yourself Pattern? | Designing Event-Driven Microservices

The Listen to Yourself pattern is implemented by having a microservice emit an event to a platform such as Apache Kafka, and then consuming its own events to perform internal updates. It can be used as a solution to the dual-write problem since it separates Kafka and database writes into different processes. However, it also provides added benefits because it allows microservices to respond quickly to requests by deferring processing to a later time.

Using Streams Replication Manager Prefixless Replication for Kafka Topic Aggregation

Businesses often need to aggregate topics because it is essential for organizing, simplifying, and optimizing the processing of streaming data. It enables efficient analysis, facilitates modular development, and enhances the overall effectiveness of streaming applications. For example, if there are separate clusters, and there are topics with the same purpose in the different clusters, then it is useful to aggregate the content into one topic.

How to Automate Data Extraction from Patient Registration Forms in Healthcare

Automating data extraction from patient registration forms in healthcare is crucial to enhancing patient care efficiency, accuracy, and overall quality. Over 71% of surveyed clinicians in the USA agreed that the volume of patient data available to them is overwhelming. This abundance of data highlights the importance of streamlining the extraction process. Manual extraction is time-consuming and prone to errors, hindering patient safety.

Implementing a Gen AI Smart Call Center Analysis App - MLOps Live #26 with McKinsey

Many enterprises operate expansive call centers, employing thousands of representatives who provide support and consult with clients, often spanning various time zones and languages. However, the successful implementation of a gen AI-driven smart call center analysis applications presents unique challenges such as data privacy controls, potential biases, AI hallucinations, language translation and more.

How To Set Up Elasticsearch on Heroku

Use Elasticsearch Features on HerokuPower your data collection and analysis processes with Elasticsearch on Heroku. While Heroku streamlines your app developing process, this search engine add-on allows data analysts and app developers to manage, sort, and analyze information in near real-time. Explore the benefits of these two tools and how Integrate.io provides innovative data integration.

5 Factors to Assess When Choosing an E-Commerce ERP

The five factors to consider when choosing an e-commerce ERP are: Choosing the right e-commerce platform, like Shopify or Magento, is just the first step in the selection process when planning your IT environment. Your e-commerce business can also benefit from ERP (enterprise resource planning) software that helps you streamline, automate, and optimize your business workflow.

What is High Cardinality?

High cardinality is a term that often surfaces in discussions about data management and analysis. It refers to a situation where a dataset contains an unusually high number of unique values, presenting challenges when it comes to processing and analyzing the data. In this blog, we will explore the concept of high cardinality data, its implications for data analysis, and strategies for managing and analyzing it effectively.

Effortless Stream Processing on Any Cloud - Flink Actions, Terraform Support, and Multi-Cloud Availability

Since we launched the Open Preview of our serverless Apache Flink® service during last year’s Current, we’ve continued to add new capabilities to the product that make stream processing accessible and easy to use for everyone. In this blog post, we will highlight some of the key features added this year.

Introducing Apache Kafka 3.7

We are proud to announce the release of Apache Kafka® 3.7.0. This release contains many new features and improvements. This blog post will highlight some of the more prominent features. For a full list of changes, be sure to check the release notes. See the Upgrading to 3.7.0 from any version 0.8.x through 3.6.x section in the documentation for the list of notable changes and detailed upgrade steps.

Marketplace Monetization: Turn Your Data and Apps into a Revenue Stream

Snowflake Marketplace is a vibrant resource, with hundreds of providers offering thousands of ready-to-try or ready-to-buy third-party data sets, applications and services. Many of these providers make their products available on Snowflake Marketplace for Snowflake customers to purchase — and they use our integrated Marketplace Monetization capabilities to simplify the process and speed up procurement and sales cycles.

Data Product Manager Essentials: Unleashing Innovation and Growth

Just a couple decades ago, human resource departments didn’t look for data product managers. The job didn’t exist because organizations rarely needed professionals to oversee data products and the teams that build them. They might have employed data scientists, but they didn’t need people focused on management more than they focused on data.

How to Create Big Number and Vertical Column Charts in Yellowfin

Welcome back to Yellowfin Japan’s ‘How to?’ blog series! In our previous blog, we went through how to capture data using Yellowfin's Data Transformation flow, and the preparation and steps for creating reports using Yellowfin View. It may seem like a lot of simple work, but as the number of reports to be created increases, the importance of data preparation becomes far more apparent. So, what about after you’ve done all the setup? Well, it’s now time to create reports!

Automating ETL Tasks Effectively with Choreo

Connecting multiple systems and exchanging data among them is afrequent requirement in many business scenarios. This typically involves one or many source systems, an intermediary processor, and one or many destination systems. Some organizations invest in purpose-built solution suites such as Data Warehouse, Master Data Management (MDM), or Extract, Transform, Load (ETL) platforms, which, in-theory, cover a wider spectrum of requirements.

Transcript Processing with AI-Powered Extraction Tools: A Guide

The class of 2027 saw a massive influx of applications at top universities across the United States. Harvard received close to 57,000 applications for the class of 2027, while MIT received almost 27,000. UC Berkeley and UCLA, meanwhile, received 125,874 and 145,882 respectively. Manual transcript processing is an uphill battle for educational institutions at every level.

Apache Kafka 3.7: Official Docker Image and Improved Client Monitoring

Apache Kafka® 3.7 is here! On behalf of the Kafka community, Danica Fine highlights key release updates, with KIPs from Kafka Core, Kafka Streams, and Kafka Connect. Kafka Core: Kafka Streams: Kafka Connect: Many more KIPs are a part of this release. See the blog post for more details.

Countly's 2023 Highlights and Beyond: A Webinar Recap

On Wednesday, February 21st, we hosted a live event on Discord, highlighting Countly's significant developments from 2023 to this day. Led by Onur, our CEO, the session offered an insider look at Countly's journey and unveiled our newest offering: Countly Flex. The webinar was about 36 minutes long. You can watch the recording here, but if you’re in a rush, here is all you need to know.

Top 10 Reasons to Acquire a Product Information Management Solution (PIM or PXM)

Implementing a PIM or PXM* solution will bring numerous benefits to your organization, in terms of improving efficiency, increasing sales and conversions, reducing returns, and promoting customer loyalty through more accurate, more complete, and more engaging product content. Here we explore these benefits in more detail.

What is Data Mapping?

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Data Bytes & Insights: Strategies for Modernizing Enterprise Data Architecture

Legacy tools holding you back? Are you ready to transform your enterprise data architecture for enhanced efficiency? In this insightful webinar "Strategies for Modernizing Enterprise-Level Data Architecture," Puneet Gupta, SVP of Product, and Cade Winter, Director of Sales Engineering at Hevo Data, guided us through strategies to drive efficiency, enhance security, and boost agility within organizations.

What's new in 2.6 | Cost Savings and Developer Improvement

Data engineers and analysts need a self-service way to build data movement flows to get critical data to where it needs to be. Cloudera DataFlow enables self-service by introducing fine grained access control with projects. Projects allow users to group flow drafts and deployments and give access to team members as needed.

5 Best Practices for Streaming Analytics with S3 in the AWS Cloud

Streaming analytics is an invaluable capability for organizations seeking to extract real-time insights from the log data they continuously generate through applications and cloud services. To help our community get started with streaming analytics on AWS, we published a piece last year called An Overview of Streaming Analytics in AWS for Logging Applications, where we covered all the basics.

20 Examples of Actionable Marketing Dashboards

Actionable marketing dashboards are a key to any marketing campaign. To get the most out of your campaign, it’s important to choose the marketing dashboard that will best fit your business goals. Read on to learn more about actionable marketing dashboards, what makes a good marketing dashboard, and discover 20 examples of marketing dashboards filled with valuable insights.

Structured vs Unstructured Data: 5 Key Differences

Experts predict the big data market will be worth $474 billion by 2030, proving data is incredibly valuable for businesses of all types. However, a company's ability to gather the right data, interpret it, and act on those insights will determine the success of data projects. The amount of data accessible to companies is increasing, as are the different types of data available. Business data comes in a wide variety of formats, from strictly formed relational databases to social media posts.

Jitterbit vs Integrate.io

Jitterbit is an all-in-one integration platform that serves a variety of use cases – including API Gateway, API manager, iPaaS (Integration Platform as a Service), ETL (Extract, Transform, and Load), and more. Integrate.io is a cloud-native unified data stack that has four major components: ETL/Reverse ETL, ELT (Extract, Load, and Transform) and CDC (Change Data Capture), API Generation, Data Observability Monitoring and Alerts.

Beyond the Buzz: Braze Equips Modern Marketers with Powerful AI Tools

A lot of the buzz around AI focuses on its future potential. And we get it — we’re talking about a transformative technology that presents seemingly limitless possibilities. But an important aspect of this world-changing tech story that gets lost in the hype is understanding exactly what AI solutions are available for you and your team to employ right now, today.

Technical Deep-dive - Unlock the Power of Data with AI, Machine Learning & Automation - Part 2

We delve into Generative AI capabilities, seamless application automation integration, and robust machine learning using AutoML. The webinar aims to unravel the behind-the-scenes magic that powers the application. Attendees can anticipate gaining valuable insights into the methodologies and technologies that contribute to enhanced predictability and data-driven decision-making.

Simplify Application Development With Hybrid Tables

We previously announced Snowflake’s Unistore workload, which continues Snowflake’s legacy of breaking down data silos by uniting transactional and analytical data in a consistent and governed platform. Today, we are pleased to announce that Hybrid Tables — the core feature powering Unistore — is in public preview in select AWS regions. Hybrid Tables is a new table type that enables transactional use cases within Snowflake with fast, high-concurrency point operations.

Data Products, Data Contracts, and Change Data Capture

Change data capture (CDC) has long been one of the most popular, reliable, and quickest ways to connect your database tables into data streams. It is a powerful pattern and one of the most common and easiest ways to bootstrap data into Apache Kafka®. But it comes with a relatively significant drawback—it exposes your database’s internal data model to the downstream world.

Integration as a Service: A 2024 Guide

Integration as a Service (IaaS) has emerged in recent years to become a pivotal force in 2024. This cloud-based solution is redefining how businesses operate in the digital landscape. It represents a significant leap in the integration of software applications, platforms, and services by streamlining processes that were once seen as cumbersome and time-consuming.

3 Ways Embedded Analytics Boosts Data Literacy

Put simply, data literacy is the ability to translate data into insights, a capability that every technology buyer is seeking this year. The importance of data has been well established and technology leaders understand the value sitting dormant in their ever-growing databases. When researching the right application for their teams, features that boost data literacy will be front of mind for your buyers.

SEO for Startups: Tips and Warnings from 100+ Experts

When you’re marketing for a startup, one of your top priorities is to put your company on the map. You want to get people familiar with your name and establish sustainable marketing systems. These goals make SEO an ideal target for businesses starting out. It expands your company’s reach, but it takes a while to start working, so it’s best to start it sooner than later. So, how should your startup dig into SEO? What tactics should come first for a growing business?

Mastering Data Management: Your Ultimate Guide to Insert Into Snowflake

Learn how to use ‘insert into snowflake’ to add data to your Snowflake tables efficiently. This guide covers essential syntax, provides clear examples, and shares practical tips to enhance data insertion. Whether single or multiple rows, structured or JSON data, you’ll gain the knowledge to perform ‘insert into’ operations with confidence.

Delivering Telecom Sustainability Targets Using Autonomous Networks

As the world grapples with the escalating climate crisis, many industries are re-examining their operations to identify and implement sustainable practices. The telecommunications industry is no exception. Telecom companies face growing pressure from consumers, investors and regulators to reduce their carbon footprint and achieve net-zero emissions. This shift towards sustainability aligns with environmental responsibility and presents lucrative business opportunities for telecoms.

What is Yellowfin Signals? Automating Data Discovery

Sifting through vast amounts of data for usable information is both challenging and time-consuming for independent software vendors (ISV) in today’s fast-paced market. But without a continuous search for timely insights, you risk your end-users missing critical business opportunities, or failing to address emerging issues in their data promptly, potentially leading to dissatisfaction and churn.

What is data monetization? Everything you need to know

Data is often described with cliches like, it's "the new oil" or “the new air.” No matter how you describe it, there is no denying the increasing importance of data monetization across every industry. Forward-thinking organizations recognize data apps as both a revenue stream and a differentiated service to increase customer loyalty.

Implementing Gen AI for Financial Services

Gen AI is quickly reshaping industries, and the pace of innovation is incredible to witness. The introduction of ChatGPT, Microsoft Copilot, Midjourney, Stable Diffusion and many more incredible tools have opened up new possibilities we couldn’t have imagined 18 months ago. While building gen AI application pilots is fairly straightforward, scaling them to production-ready, customer-facing implementations is a novel challenge for enterprises, and especially for the financial services sector.

Unlocking Success With the Databox Customer Lifecycle Framework

At Databox, we put our company values at the forefront of everything we do. Prioritizing customer impact is one of the values we focus on the most, so taking the time to really understand our customers is paramount and we employ multiple strategies, frameworks, and initiatives on a daily basis to achieve this. One of those strategies is our Customer Lifecycle Framework (CLF), which reflects our dedication to prioritizing the needs of our customers at every stage of their interaction with us.

Top 3 Data + AI Predictions for Retail and Consumer Goods in 2024

Nearly every facet of society has felt the impact of AI since it burst into the mainstream in late 2022 with the public launch of ChatGPT. In 2024, the retail and consumer goods industry is expected to experience massive upheaval due to the proliferation of generative AI (gen AI) tools as well as changes in customer engagement and the general manner in which products are now sold.

Best 13 Free Financial Datasets for Machine Learning [Updated]

Financial services companies are leveraging data and machine learning to mitigate risks like fraud and cyber threats and to provide a modern customer experience. By following these measures, they are able to comply with regulations, optimize their trading and answer their customers’ needs. In today’s competitive digital world, these changes are essential for ensuring their relevance and efficiency.

How to use GenAI for database query optimization and natural language analysis

In the past, querying a database required Structured Query Language (SQL) skills, or knowledge of other database query languages, such as Kibana Query Language (KQL). Today, with the emergence of generative AI (GenAI), teams can query their analytic database using natural language — and get plain English results in return. Or, if you prefer to still use SQL, many teams use GenAI for database query optimization, making queries faster and more efficient.

Continual is SOC 2 compliant

Continual is proud to announce that we are now SOC 2 Type 1 compliant and SOC 2 Type 2 in progress. This certification demonstrates our core commitment to your data security and privacy. We expect to make additional announcements around our security certification efforts over the coming months. Beyond third party attestations, Continual is built from the ground up for data security, privacy, and governance at enterprise scale.

Introduction to Ozone on Cloudera Data Platform

When considering whether Ozone is the right fit for your company, view it from several different angles. You can look at it from the perspective of Lower TCO, or reducing the carbon footprint of your Data Center. Other things to consider are how much your data is increasing and at what rate, and if you have enough hardware to cover that growth.

Complete Guide to Database Schema Design

Experts predict that the global enterprise data management market will grow at a compound annual growth rate of 12.1% until 2030. Your organization’s database management system (DBMS) stores all the enterprise data you need for software applications, systems, and IT environments, helping you make smarter data-driven business decisions. Here are the key things to know about database schema design.

Navigating XML Import Errors: A Guide for Data Professionals

In the realm of data engineering, XML (Extensible Markup Language) plays a pivotal role in the exchange and storage of structured data. Its flexibility and widespread acceptance make it a cornerstone for data interchange across diverse systems. However, the process is not without its hurdles. XML import errors can pose significant challenges, impacting data integrity and workflow efficiency.

Snowflake's Data Classification Lets You Identify and Tag Sensitive Data Directly in Snowsight

At Snowflake, we believe in empowering our customers to harness the full potential of their data while maintaining robust compliance standards and safeguarding data privacy. We recognize the critical importance of quickly identifying and safeguarding sensitive data objects, and we consistently strive to provide solutions that help achieve these goals — from advancements such as classification and tag-based policies to the intuitive Data Governance UI.

What is the Event Sourcing Pattern? | Designing Event-Driven Microservices

Event Sourcing is a pattern of storing an object's state as a series of events. Each time the object is updated a new event is written to an append-only log. When the object is loaded from the database, the events are replayed in order, reapplying the necessary changes. The benefit of this approach is that it stores a full history of the object. This can be valuable for debugging, auditing, building new models, and a variety of other situations. It is also a technique that can be used to solve the dual-write problem when working with event-driven architectures.

Episode 2: Building a foundation for customer 360 | BODi

In this episode of Data Drip, Aarthi Sridharan, VP of Data Insights and Analytics at BODi, examines her experience leading a complex data migration project to achieve customer 360 in a rapidly evolving fitness industry. She reflects on the challenges of migrating from multiple on-premises data warehouses to a unified cloud-based system and highlights the most important lessons she learned about planning, adapting, and managing a major multi-year project.

New with Confluent Platform: Seamless Migration Off ZooKeeper, Arm64 Support, and More

With the increasing importance of real-time data in modern businesses, companies are leveraging distributed streaming platforms to process and analyze data streams in real time. Many companies are also transitioning to the cloud, which is often a gradual process that takes several years and involves incremental stages. During this transition, many companies adopt hybrid cloud architectures, either temporarily or permanently.

Optimization Strategies for Iceberg Tables

Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data—structured and unstructured. It offers several benefits such as schema evolution, hidden partitioning, time travel, and more that improve the productivity of data engineers and data analysts. However, you need to regularly maintain Iceberg tables to keep them in a healthy state so that read queries can perform faster.

Four Questions to Consider When Navigating the Rapid Evolution of Generative AI

Generative AI’s (gen AI) capabilities seemed startlingly novel a year ago, when ChatGPT’s release led to an explosion of public usage and, simultaneously, intense debate about its potential societal and business impacts. That period of initial amazement and suspicion has given way to business urgency, as companies scramble to adopt gen AI in ways that leverage its potential for maximizing workforce productivity and profitability.

Excel Import Errors? Here's How to Fix Them Fast

Microsoft Excel, a cornerstone in the realm of data management, is extensively utilized across various industries for its robust capabilities in data analysis, storage, and intricate calculation functionalities. However, when it comes to importing Excel files into other Software as a Service (SaaS) applications, users often encounter a range of import errors that can hinder productivity and data accuracy.

High Availability (Multi-AZ) for Cloudera Operational Database

In the previous blog post we covered the high availability feature of Cloudera Operational Database (COD) in Amazon AWS. Cloudera recently released a new version of COD, which adds HA support to Microsoft Azure-based databases in the Cloud. In this post, we’ll perform a similar test to validate that the feature works as expected in Azure, too.

What is AI Analytics?

Imagine your software transforming from merely a tool into a strategic partner that can automatically alert your users to trends, provide explanations of data with a click, and help you ask the right questions of your data-sets - in addition to delivering data-led insights. This is the power of AI analytics solutions for independent software vendors (ISV). Today's users demand more than just functionality. They crave intelligent software that analyzes data, surfaces insights, and empowers them to act.

Mastering Software Integration: Unlocking Innovation Through Seamless System Connections

Software integration is a key enabler of digital transformation. It optimizes data flow and system functionality within a modern enterprise to drive innovation and operational efficiency. Here are the 5 key takeaways from our Mastering Software Integration article.

DNS Zone Setup Best Practices on Azure

In Cloudera deployments on public cloud, one of the key configuration elements is the DNS. Get it wrong and your deployment may become wholly unusable with users unable to access and use the Cloudera data services. If the DNS is set up less ideal than it could be, connectivity and performance issues may arise. In this blog, we’ll take you through our tried and tested best practices for setting up your DNS for use with Cloudera on Azure.

Exploring the Top 7 Benefits of Self-hosted Analytics for Businesses

Imagine having the keys to a vault where every piece of data about your business is stored—not just any vault, but one that you built, control, and customize according to your precise specifications! This is the empowering reality of self-hosted analytics. It's like being the captain of your ship, navigating through the vast ocean of digital information with the confidence that comes from knowing every inch of your vessel.

Nuclio Demo

Nuclio is a high-performance serverless framework focused on data, I/O, and compute intensive workloads. It is well integrated with popular data science tools, such as Jupyter and Kubeflow; supports a variety of data and streaming sources; and supports execution over CPUs and GPUs. The Nuclio project began in 2017 and is constantly and rapidly evolving; many start-ups and enterprises are now using Nuclio in production. In this video, Tomer takes you through a quick demo of Nuclio, triggering functions both from the UI and the CLI.

Streamlining COBRA Eligibility Data Management with Integrate.io

How much time does your company spend manually preparing file data? Imagine a world where managing COBRA eligibility data is as simple as a few clicks, where files in myriad formats seamlessly transform into a standardized, compliant structure without hours of manual labor. For companies and consultancies managing employee benefits, standardizing and processing data files is a critical, yet challenging task.

6 Ways Marketers Are Using Generative AI: Is It Really Saving Time?

AI was the hot topic of 2023 and will continue to reign in 2024: ChatGPT first launched at the end of 2022 and became a massive hit in just a few months. Google released Bard shortly after, and then, new AI tools just kept popping up, prompting marketers to learn how to leverage them to become more efficient and productive.

LLMOps vs. MLOps: Understanding the Differences

Data engineers, data scientists and other data professional leaders have been racing to implement gen AI into their engineering efforts. But a successful deployment of LLMs has to go beyond prototyping, which is where LLMOps comes into play. LLMOps is MLOps for LLMs. It’s about ensuring rapid, streamlined, automated and ethical deployment of LLMs to production. This blog post delves into the concepts of LLMOps and MLOps, explaining how and when to use each one.

CSV Formatting: Tips and Tricks for Data Accuracy

Comma-Separated Values (CSV) files are at the cornerstone of data management. They offer a simplistic yet versatile format to organize and exchange data. CSV files are predominantly used in data analysis, machine learning, and database migrations. Their ability to encapsulate large datasets in a plain-text format makes them instrumental for these use cases.

How to Use Confluent for Kubernetes to Manage Resources Outside of Kubernetes

Apache Kafka® cluster administrators often need to solve problems like how to onboard new teams, manage resources like topics or connectors, and maintain permission control over these resources. In this post, we will demonstrate how to use Confluent for Kubernetes (CfK) to enable GitOps with a CI/CD pipeline and delegate resource creation to groups of people without distributing admin permission passwords to other people in the organization.

Accelerating Queries on Iceberg Tables with Materialized Views

This blog post describes support for materialized views for the Iceberg table format in Cloudera Data Warehouse. Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. It has been designed and developed as an open community standard to ensure compatibility across languages and implementations.

Top 3 Data + AI Predictions for Manufacturing in 2024

Investment in AI for manufacturing is expected to grow by 57% by 2026. That’s hardly surprising — with AI’s ability to augment worker productivity, improve efficiency and drive innovation, its potential in manufacturing is vast. AI’s predictive capabilities can help manufacturing leaders anticipate market trends and make data-driven decisions, creating financial opportunities for suppliers as well as customers.

Tabular Reporting - Do More with Qlik Webinar Replay

This session will demonstrate how Tabular Reporting used within Qlik Sense Applications enables users to efficiently address and manage common operational report creation and distribution requirements. Attendees will discover how report developers can create formatted Excel Templates directly from Qlik data and visualizations. The webinar will also highlight the power of governed Report Tasks, showcasing the seamless distribution and “bursting” of reports to stakeholders. By leveraging Tabular Reporting, the Qlik platform becomes the central source for crucial operational decisions, customer communications, and more.

What is the Transactional Outbox Pattern? | Designing Event-Driven Microservices

The transactional outbox pattern leverages database transactions to update a microservice's state and an outbox table. Events in the outbox will be sent to an external messaging platform such as Apache Kafka. This technique is used to overcome the dual-write problem which occurs when you have to write data to two separate systems such as a database and Apache Kafka. The database transactions can be used to ensure atomic writes between the two tables. From there, a separate process can consume the outbox and update the external system as required.

The Best Data Lake Tools: A Buyer's Guide

A data lake is a main storage repository that can hold vast amounts of raw, unstructured data. A data lake is not the same as a data warehouse, which maintains data in structured files. Five key takeaways about data lake tools: A data warehouse uses a hierarchical structure, whereas the architecture of a data lake is flat.

Health Care Outside of the Box

How enterprise-grade data management creates better and more efficient care. In the last few years, the acceptance of telehealth has become more widespread as patients and providers found they could maintain continuity through phone and video collaboration, instead of in-person visits. In many cases, a level of care that once required a drive to the clinic or hospital could be delivered over a mobile phone or laptop, with no travel and no waiting room.

Snowflake Improves Query Duration by 20% on Stable Workloads Since We Began Tracking the Snowflake Performance Index

Earlier this year at Snowflake Summit, we announced the public launch of the Snowflake Performance Index (SPI), an aggregate index for measuring real-world improvements in Snowflake performance experienced by customers over time. In this post, we provide our biannual update to showcase the latest improvements.

Accelerate Gen AI Securely With Snowflake Cortex And Snowpark Container Services

Fueled by vast data volumes and powerful computing, AI is revolutionizing work. To capture the value of Generative AI for business, companies need to customize LLMs with their enterprise data. But feeding sensitive data into externally hosted LLMs poses security and exposure risks, and self-hosting LLMs carry a heavy operational burden from maintaining complex environments.

Accelerating Gen AI for Customer Service with Fivetran, Google Cloud, BigQuery and Vertex AI

Learn how Fivetran’s automated data movement platform allows you to accelerate building Gen AI applications for customer service in Google Cloud with BigQuery and Vertex AI. Kelly Kohlleffel steps you through creating four connectors to BigQuery, including a relational database connector plus Jira, Slack, and Zendesk connectors. Then you’ll see how easy it is to quickly build two Gen AI apps, one for search and one for chat, using Vertex AI and the new customer service datasets in BigQuery.

What is Snowflake | A Comprehensive Overview with Pros and Cons

Snowflake is a technology company offering a cloud-based data warehouse for data storage and analytics. Snowflake has been making headlines lately, having reported $1.1 billion in revenue for the fiscal year ending Jan. 31, 2022—that’s 106% growth year-on-year.

CSV Import Errors: Quick Fixes for Data Pros

Comma-Separated Values (CSV) files are indispensable in the realm of data management, serving as a bridge for data exchange across disparate systems, platforms, and apps. Despite their ubiquity and the simplicity they bring to data importation, professionals often face hurdles that can disrupt workflows and lead to data integrity issues. These challenges, ranging from minor formatting mismatches to complex encoding dilemmas, underscore the need for a comprehensive understanding of the CSV import process.

Logi Symphony: Essential Customer Information

The landscape of business intelligence (BI) is undergoing a metamorphosis, demanding solutions that transcend static reports and siloed data. At insightsoftware, we’re not merely keeping pace with this evolution – we’re spearheading it with the transformative rebirth of Logi Symphony. Gone are the days of cumbersome BI 1.0 and self-service limitations of BI 2.0.

5 Steps to Data Diversity: More Diverse Data Makes for Smarter AI

In an iconic Top Gun scene, Charlie tells Maverick that a maneuver is impossible. Maverick replies, “The data on the MIG is inaccurate.” In the more recent sequel, despite his extensive, firsthand knowledge, Maverick is told “the future’s coming and you’re not in it.” While flying may be more automated now, the importance of accurate and diverse data for aviation safety remains — and is likely even more critical.

Challenge Accepted! Ask Mike What You Want to See in His Next Video

We are asking Qlik Nation members what tips and tricks they want to see in Mike Tarallo's upcoming Qlik shorts or Do More with Qlik - Tips and Tricks edition series. This is your opportunity to submit what Qlik capabilities, features, solution you want to learn more about - and see them featured on YouTube and other social platform.

GenAI Meets AI Data Management: Keboola's Google Cloud Marketplace Debut

Keboola's availability on Google Cloud Marketplace opens up the potential of Google Gemini, allowing users to tackle advanced data tasks in just a couple of keystrokes. This integration marks the next step for AI-powered data processing and unlocks new opportunities for Keboola and Google Cloud users, language model enthusiasts, data scientists, application builders, and data engineers.

Top 5 Data + AI Predictions for Financial Services in 2024

Generative AI tops every list of major financial services trends for 2024. And it’s no wonder — this new technology has the potential to revolutionize the industry by augmenting the value of employee work, driving organizational efficiencies, providing personalized customer experiences, and uncovering new insights from vast amounts of data.

How to Reduce Databricks Costs with These Easy Tips

Databricks is a popular platform for running Apache Spark workloads in the cloud. While Databricks makes it easy to spin up Spark clusters on demand, this flexibility can also lead to higher costs if not managed properly. In this article, we’ll explore some techniques for optimizing your Databricks clusters to reduce costs without sacrificing performance.

Optimize SAP Data Analysis for a Sustainable Future

Monitoring your carbon footprint aligns your company with global efforts to address climate change and serves as a cornerstone of responsible corporate governance and cutting-edge sustainable business practices. Understanding your SAP data to its fullest is the first step on the journey towards a more sustainable future. With an advanced operational reporting solution that delivers proper data analysis, you can put your best foot forward.

Embedding BI Into RAD Studio applications with Yellowfin

Integrating business intelligence (BI) into your RAD Studio application is a great way to increase product stickiness, improve customer loyalty and unlock data-led insights for your end-users. Also known as embedded analytics, having a suite of natively integrated BI tools in your software product opens up data access and insight discovery to your end-users as part of their workflow, helping them make business decisions and increasing the value of your software for their goals.

Cloudera Named Strong Performer in New Forrester Wave for Streaming Platforms

Forrester Research recently released the Forester Wave for Streaming Platforms, Q4 2023. We are happy to share that Cloudera ranked as a strong performer, with a top three score for current offering. This score was stronger than anyone outside of one-cloud vendors Microsoft and Google, including a stronger current offering than Confluent. Cloudera is also the strongest on-prem offering and the only fully hybrid offering to achieve a strong performer score.

Dataloader.io Errors Explained - Time for an Alternative?

Dataloader.io is a widely used tool for loading data into Salesforce, but even the most experienced users can encounter errors, especially as they start to reach the platform's limitations. Understanding these errors and knowing how to resolve them is crucial for maintaining data integrity and workflow efficiency. In this post, we'll dive into some of the most common Dataloader.io errors, their causes, and how to resolve them.

2024's Top Data + AI Predictions in Advertising, Media and Entertainment

It’s not hyperbole to say that generative AI (gen AI) is radically transforming the advertising, media and entertainment industry. There has been widespread excitement about the potential of gen AI to open brand-new creative opportunities and unlock unprecedented efficiencies. At the same time, there has been understandable concern about issues such as inherent bias, deep fakes and the impact of gen AI on jobs.

Mastering Day 2 Operations with Cloudera

Delivering transformational innovation and accurate business decisions requires harnessing the full potential of your organization’s entire data ecosystem. Ultimately, this boils down to how reliable and trustworthy the underlying data that feeds your insights and applications is. This applies to modern generative AI solutions that are particularly reliant on trusted, accurate, and context-specific data.

Accelerate Your Roadmap, Delight Your Customers: How Embedded Analytics Supercharges Your Application

As technology advances, so do user expectations. Advanced analytics has emerged as a hot topic and a key area of focus for buyers looking to provide higher quality analysis to inform business decision-making in a turbulent market. Furthermore, the era of cheap money is over. Funding is scarce and Independent Software Vendors (ISVs) must ensure their offer is seen as an essential expense for financially constrained buyers, delivering quick value, quality, and innovation.

Episode 1: Why everything doesn't need to be generative AI | Rocket Software

Generative AI has everyone talking, but has that buzz overshadowed the potential of predictive AI? We talked with Parag Shah, Senior Director of Data and Analytics at Rocket Software, to explore the hype and hope around both generative and predictive AI.

AI: Balancing Innovation and Ethics

In a Sky News Australia Segment, Qlik CEO Mike Capone discusses the the transformative power of #AI. Here's a glimpse of our discussion: Ethical AI & Public-Private Collaboration: Emphasized the urgent need for public-private partnerships in setting ethical AI standards. The recent developments from Davos are a promising step towards this vital collaboration.

What is the Dual Write Problem? | Designing Event-Driven Microservices

The dual write problem occurs when you try to write to two separate systems and need them to be atomic. If one write fails, and the other succeeds, you can end up with inconsistent state. This is an easy trap to fall into, and it can be difficult to avoid. We'll explore what causes the dual-write problem and explore both valid and invalid solutions to it.

Harnessing Data Extraction in Education for Insightful Solutions

The education sector has always worked with data to guide various processes, most notably student progress. But with powerful, AI-driven data extraction tools impacting other industries, it's time for educators to leverage these tools, accelerate data extraction, and turn data into actionable insights much faster.