Measuring how marketing is helping to drive your business is critical. But often marketing’s impact is not widely understood and appreciated.

Data is the fuel that drives government, enables transparency, and powers citizen services. But while state and local governments seek to improve policies, decision making, and the services constituents rely upon, data silos create accessibility and sharing challenges that hinder public sector agencies from transforming their data into a strategic asset and leveraging it for the common good.

Iguazio users can now run their ML workloads on AWS EC2 Spot instances. When running ML functions, you might want to control whether to run on Spot nodes or On-Demand compute instances. When deploying Iguazio MLOps platform on AWS, running a job (e.g. model training) or deploying a serving function users are now able to choose to deploy it on AWS EC2 Spot compute instances.

New data tools and technologies can help your team get more done with less budget, headcount and risk.

If you’ve been following commentary on the modern data stack recently, you may have noticed the tent’s steadily getting bigger. There also appears to be a growing ecosystem of companies that are beginning to take the next step, going from what a modern data stack can look like, to now internalizing this concept in their very own product solutions.

We all make daily decisions with the help of AI, perhaps without even realizing it. Advanced automation technologies using data from smart devices and social networks make it easier than ever to offload your decision-making to an algorithm. Recommended posts, ads, suggested products — none of this is possible without automation. But machines can only get us 90% there. They’re great at consuming and analyzing large volumes of data, but still have trouble with edge cases.

In the ever-expanding world of IoT, no industry is left untouched and the growth potential shows no sign of slowing down. According to a report published by GlobalData in May 2021, the global Internet of Things market is expected to reach more than a trillion dollars by 2024. Predictive maintenance, optimized energy consumption, road traffic management – the use cases are virtually endless! Meanwhile, that connectivity is generating a goldmine of data for your business.

With data becoming a more important business resource by the day, organizations are increasingly turning to their leaders to ensure data excellence. Mark Fazackerley, Regional Vice President ANZ at Talend, outlines how the growingly popular Chief Data Officer role can help lay the groundwork for an effective data strategy and culture.

Firms are burdened with tech debt and endless regulatory compliance, often leaving innovation last to receive the necessary budgets. Data-fuelled innovation requires a pragmatic strategy. This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization.

The Eckerson Group recently presented a CDO TechVent that explored data observability, “Data Observability: Managing Data Quality and Pipelines for the Cloud Era.” Hosted by Wayne Eckerson, president of Eckerson Group, Dr.

Snowflake recently announced results from the 2022 Customer Experience Survey. Hopefully, you’ve already heard about Snowflake’s overall Net Promoter Score (NPS) of 72*, a score more than three times the industry average of 21, based on the Qualtrics 2021 NPS Industry Benchmarking Report. The survey also asked customers for feedback on specific Snowflake experiences along the customer journey, from initially researching the product to implementation to getting help and support when needed.

Fivetran Business Critical, our highest-security plan, can now send your data to Databricks while avoiding the public internet.

Want to boost your website performance? Discover 10+ Google Analytics dashboard templates you can steal, or learn how to build your own.

With Ashish Khandelwal, Mainframe Modernization Engineer at Microsoft, Mukesh Kumar, Principle Group Engineering Architecture Manager at Microsoft, and Tom Griggs, Global Partner Senior Manager at Qlik

The sequel to "How to measure the success of data teams," in which Montreal Analytics explains how to evaluate the performance of individual contributors in a data team.

Learn how Fivetran is addressing your high-volume database replication needs with our newest High Volume Agent connector for SQL Server.

Sometimes you may want to limit the amount of analytics data coming into Moesif. This could be because you want to exclude specific traffic, such as internal or health check traffic, or you may want to reduce unnecessary data to control cost. Dynamic Sampling, available to customers on our Enterprise plan, was built to do just this. Dynamic Sampling lets you control which API calls are logged to Moesif based on customer or API behavior.

Machine learning is used across industries and user communities for a wide variety of predictive analytics needs – use cases ranging from sales forecasting to churn reduction, customer lifetime value, inventory optimization, capital allocation and more.

Data can deliver value informationally or operationally, and the difference is key to understanding your team’s output.

Cloudera Machine Learning (CML) is a cloud-native and hybrid-friendly machine learning platform. It unifies self-service data science and data engineering in a single, portable service as part of an enterprise data cloud for multi-function analytics on data anywhere. CML empowers organizations to build and deploy machine learning and AI capabilities for business at scale, efficiently and securely, anywhere they want.

Finance teams are taking on new challenges and responsibilities in light of the uncertain economic climate that surfaced in the wake of the global pandemic, supply chain disruptions, price inflation, and the wholesale workforce exodus known as the “Great Resignation.” Now more than ever, organizational leadership is looking to the Office of the CFO to be a strategic partner in building an overall business strategy.

About 80% of the world’s data is unstructured. Unstructured data within documents, emails, web pages, images, comments on blogs and social media sites, and more can be extraordinarily valuable, making the ability to process this kind of data vital for organizations that want to make data-driven decisions.

Complete guide on how to use Google Search Console for SEO, combined with 19 expert tips gathered from 100+ marketers.

AutoML with experiment tracking enables logging and tracking results and parameters, to optimize machine learning processes. But current AutoML platforms only train models based on provided data. They lack solutions that automate the entire ML pipeline, leaving data scientists and data engineers to deal with manual operationalization efforts. In this post, we provide an open source solution for AutoMLOps, which automates engineering tasks so that your code is automatically ready for production.

Qlik’s entry at the Gartner Analytics and BI Bake-Off 2022 looked to address the big questions around clean energy and climate change and found some surprising insights.

Well, that was interesting! I just finished the Show Floor Showdown for Business Intelligence at Gartner Data & Analytics Summit with team ThoughtSpot. (Reminder: ThoughtSpot was named a Visionary in Gartner’s 2022 Magic Quadrant™ for Analytics and BI Platforms.) For the setup, we were asked to play the roles of sustainability experts, government officials, and business leaders working to understand the impact of sustainability goals on economic, environmental, and social outcomes.

Over the past week or so, I’ve been working on updating our Developer Workshop content. One of the trickiest parts of running workshops is the differences in local environment configuration: some attendees have a Mac, others windows, some with admin permissions, and some without. So much depends on what your company provides and how they manage their systems. To make things easier, I’ve been relying on CodeSandbox to eliminate a lot of the unknown.

Summary: Sometimes the insight you’re shown isn’t the one you were expecting. Unravel DataOps observability provides the right, and actionable, insights to unlock the full value and potential of your Spark application. One of the key features of Unravel is our automated insights. This is the feature where Unravel analyzes the finished Spark job and then presents its findings to the user. Sometimes those findings can be layered and not exactly what you expect.

One of the most significant benefits of the modern data stack is the loosely coupled nature of each layer to help you adapt to change and capitalize on new business opportunities. You can choose the best solution which fits your need without long-term vendor commitments, and the risk of introducing complex integrations and IT management. One of the ways to achieve this loose coupling is through webhooks.

Oracle Cloud ERP enables businesses to harness the power of the cloud with built-in security, easy access to data, and native reporting tools. Offering scalability, security, and greater visibility into your organization’s information, this ERP comes with a variety of benefits. But when you’re looking to transition into a cloud-based ERP, where do you start? Here, we discuss the top five best practices of moving to Oracle Cloud ERP.

“I Wisely Started with a Map” – J.R.R. Tolkien The need for real-time data has never been more crucial, with organizations in every industry accelerating their digital transformation journeys these past few years to address uncertainty and shifting market forces head on.

The popular object detection model and framework made by ultralytics now has ClearML built-in. It’s now easier than ever to train a YOLOv5 model and have the ClearML experiment manager track it automatically. But that’s not all, you can easily specifiy a ClearML dataset version ID as the data input and it will automatically be used to train your model on. Follow us along in this blogpost, where we talk about the possibilities and guide you through the process of implementing them.

As virtual selling and digital buying continues to grow, data, insights and timely action are becoming more valuable than ever.

Today’s cloud data platforms have to be simple to use and provide an intuitive user experience while not sacrificing key features and functionality.

Are you looking to migrate a large amount of Hive ACID tables to BigQuery? ACID enabled Hive tables support transactions that accept updates and delete DML operations. In this blog, we will explore migrating Hive ACID tables to BigQuery. The approach explored in this blog works for both compacted (major / minor) and non-compacted Hive tables. Let’s first understand the term ACID and how it works in Hive. ACID stands for four traits of database transactions.

Many businesses rely on Amazon Redshift Serverless for their cloud data warehouse and ThoughtSpot to derive insights from the data stored within. For this blog, I’m going to show you how to create a connection between Amazon Redshift Serverless and ThoughtSpot. It’s easy to connect Redshift with ThoughtSpot whether you have it running as a cluster which you have provisioned, or serverless.

As the strategic role of finance teams continues to evolve, the Office of the CFO faces many new responsibilities. Resource allocation, however, does not always grow in tandem with those responsibilities, leading to scalability challenges for finance teams tasked with doing more with fewer resources.

We’ve come a long way since 1778 when George Washington’s spies gathered and shared military intelligence on the British Army’s tactical operations in occupied New York. But information broadly, and the management of data specifically, is still “the” critical factor for situational awareness, streamlined operations, and a host of other use cases across today’s tech-driven battlefields.

In this article, we will walk you through steps to run a Jenkins server in docker and deploy the MLRun project using Jenkins pipeline. Before we dive into the actual set up, let’s have a brief background on the MLRun and Jenkins.

It says something about a company and its people when they drop the process of formulaic job interviews and just let you pitch ideas for the job you want. That’s what happened when I applied to Continual as a Technical Marketing Manager. Five weeks in, I’m pleased to say I’m working on those same ideas, which I’ll detail in a couple minutes.

Cloudera has a strong track record of providing a comprehensive solution for stream processing. Cloudera Stream Processing (CSP), powered by Apache Flink and Apache Kafka, provides a complete stream management and stateful processing solution. In CSP, Kafka serves as the storage streaming substrate, and Flink as the core in-stream processing engine that supports SQL and REST interfaces.

Data is the fuel for today’s modern economy – it drives everything from large-scale manufacturing, financial services, energy and transportation to healthcare, media and entertainment and everything in between. This new philosophy of data-centricity has evolved the way organizations think about their IT environments, infrastructure, applications, solutions and even cloud providers.

Learn how the Fivetran REST API allows you to programmatically manage users, groups and connectors to scale data workflows and improve your overall security posture.

With all of the buzz around cloud computing, many companies have overlooked the importance of hybrid data. Many large enterprises went all-in on cloud without considering the costs and potential risks associated with a cloud-only approach. The truth is, the future of data architecture is all about hybrid.

The previous decade has seen explosive growth in the integration of data and data-driven insight into a company’s ability to operate effectively, yielding an ever-growing competitive advantage to those that do it well. Our customers have become accustomed to the speed of decision making that comes from that insight. Data is integral for both long-term strategy and day-to-day, or even minute-to-minute operation.

As uncertainty and volatility become the order of the day, buyer behavior and preferences continue to evolve. The continuing global supply chain crisis has resulted in lost sales and market disruptions that have in some cases widely thrown off forecasts.

In June 2022, Cloudera announced the general availability of Apache Iceberg in the Cloudera Data Platform (CDP). Iceberg is a 100% open-table format, developed through the Apache Software Foundation, which helps users avoid vendor lock-in and implement an open lakehouse. The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse (CDW), Cloudera Data Engineering (CDE), and Cloudera Machine Learning (CML).

The future of the modern data stack is tightly coupled to how those warehouses evolve — and that’s where Iceberg comes in.

ESG reporting is rapidly becoming a key focus area for finance teams around the world. ESG stands for “environmental, social, and governance.” It’s a set of standards through which companies can report metrics that indicate how well their activities align with issues of environmental stewardship and social issues. In late 2021, the International Accounting Standards Board (IASB) announced the creation of a new ESG reporting standard.

Z-order is an ordering for multi-dimensional data, e.g. rows in a database table. Once data is in Z-order it is possible to efficiently search against more columns. This article reveals how Z-ordering works and how one can use it with Apache Impala.

Are you considering venturing into the world of analytics engineering? Analytics engineers are the newest addition to data teams and sit somewhere between data engineers and data analysts. They are technical, business savvy, and love to learn. A huge part of an analytics engineer’s role is learning new modern data tools to implement within data stacks.

Following Continual achieving SOC 2 Type 1 compliance in January, we’re proud to announce we are now SOC 2 Type 2 compliant. This milestone demonstrates our ongoing commitment to helping our customers protect their data – and their customer’s data – as they build and grow their operational AI platforms. It’s a hard reality for many software projects that security is added late in their development cycle as their market viability becomes clear.

Modern businesses are increasingly relying on real-time insights to stay ahead of their competition. Whether it's to expedite human decision-making or fully automate decisions, such insights require the ability to run hybrid transactional analytical workloads that often involve multiple data sources. BigQuery is Google Cloud’s serverless, multi-cloud data warehouse that simplifies analytics by bringing together data from multiple sources.

Apache Spark with its rich data APIs has been the processing engine of choice in a wide range of applications from data engineering to machine learning, but its security integration has been a pain point.t Many enterprise customers needi finer granularity of control, in particular at the column and row level (commonly known as Fine Grained Access Control or FGAC).

If you have managed a cloud data platform, you have undoubtedly gotten that call. You know the one, it's usually from finance or the office of the CFO, inquiring about your monthly spend. And it usually comes in one of two forms: While both are clear and present dangers to cloud data platform owners, they don’t have to be.

A high-volume data replication solution makes it easy to gain real-time access and easily integrate your SAP ERP data so you can maximize its value.

We’re so proud to share that Iguazio has been named a sample vendor in eight Gartner Hype Cycles in 2022: Iguazio was mentioned in the following categories: MLOps, Logical Feature Store, Adaptive ML, Data-Centric AI, AI Engineering, AI TRiSM, Operational AI Systems, ModelOps, AI Engineering in HCLS and Continuous Intelligence. We are delighted to have been mentioned alongside global industry leaders like AWS, IBM, Microsoft, Google, Databricks and Dataiku.

As data science has taken center stage in a lot of organizations, many are relearning what they’ve already known – that dry, mathematical calculations don’t inspire and don’t stick. It’s the story that matters. In this second of a two-part blog series, we look at some best practices for data storytelling and how Qlik analytics can help.

If there is a single most delicate aspect to the balance of data sharing and compliance, it lies in the process of creating a single source of truth. This project involves many departments across the company: sales, customer support, and of course, IT. The more stakeholders are involved, the more project's complexity rises, as it contains different objectives from different parties.