When setting up a modern data stack, data warehouse modeling is often the very first step. It is important to create an architecture that supports the data models that you wish to build. I often see people going straight to writing complex transformations before thinking about how they want to organize the databases, schemas, and tables within their warehouse. To succeed, it is key to design your data warehouse with your models in mind before starting the modeling process.

CDP Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution. It helps developers automate and simplify database management with capabilities like auto-scale, and is fully integrated with Cloudera Data Platform (CDP). For more information and to get started with COD, refer to Getting Started with Cloudera Data Platform Operational Database (COD).

Cloudera Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution. It helps developers automate and simplify database management with capabilities like auto-scale, and is fully integrated with Cloudera Data Platform (CDP). For more information and to get started with COD, refer to our article Getting Started with Cloudera Data Platform Operational Database (COD).

ClearML is an open source MLOps platform, and we love the community that’s been growing around us over the last few years. In this post, we’ll give you an overview of the structure of the ClearML codebase so you know what to do when you want to contribute to our community. Prefer to watch the video? Click below: First things first. Let’s take a look at our GitHub page and corresponding repositories. Later on, we’ll cover the most important ones in detail.

Business processes such as order-to-cash are critical to organizations, particularly for the retail and manufacturing enterprise. And SAP contains valuable data related to the process such as sales orders, distribution, and financial data.

A/B testing is the most effective way to observe users’ behavior with two or more different versions of the same screen or in-app experience. It can help you test variations of an item, generally UI based, to determine which one performs better. Directing some users to version A and others to version B allows you to observe user behavior for each.

Just one pre-written line of code for each data source is all that is needed to orchestrate automated data ingestion effectively.

Eneria, a subsidiary of the Monnoyeur Group, is a leader in energy production and motorization solutions. As the exclusive Caterpillar dealer in France, they have developed notable and unique expertise in the field of generator sets, Caterpillar generators, inverters, and engines. As a well-established industry leader with over 870 employees across dozens of departments, Eneria knows the pivotal importance of interdepartmental communication — not just between employees, but between data.

IDC research shows that automated data movement enables organizations to improve insights and derive more value from cloud data warehouses and lakes.

According to the Chief Economists Outlook published by the World Economic Forum in September 2022, 7 out of 10 economists now consider a global recession at least somewhat likely. The sales organization has a front seat view to the impacts of recession as sales personnel hear their customers cite budget cuts, postpone purchases, and possibly look for less expensive alternatives.

Connected-Stories NEXT is an end-to-end creative management platform built on Google Cloud to develop, serve, and optimize interactive video and display ads that scale across any channel.

‍Completely unrelated to the unfolding events at a prominent social media company, we thought it is a good idea to highlight some anti-patterns to measuring productivity, and a few things that should be common sense to do instead.

Stream processing is about creating business value by applying logic to your data while it is in motion. Many times that involves combining data sources to enrich a data stream. Flink SQL does this and directs the results of whatever functions you apply to the data into a sink.

BigQuery performance helps Soundtrack Your Brand transform big data into music to offer businesses personalized music recommendations.

Business monitoring is essential to a company’s success. Whether you’re improving efficiency, saving costs, planning inventory, or tracking goals, you need to define metrics and monitor them regularly to make progress. With ThoughtSpot, business monitoring is an intuitive experience that starts with visualizing your KPIs in real-time so you can take action when there’s movement.

Mapping source columns with a data destination is arduous and time-consuming. Data fields can come from many source types and formats. Even though you are the expert on your datasets, you may require the assistance of IT to set up the mapping. However, the more sources, the more handoffs, the higher the possibility of errors. As organizational data has become more dispersed and voluminous across organizations and applications, it's more important than ever to ensure that you understand your data.

I recently had the privilege of attending the CDAO event in Boston hosted by Corinium. Tracks represented financial services, insurance, retail and consumer packaged goods, and healthcare. Overall, it struck me that while data science is not new, most firms are still defining the mission of the data office and data officer. It’s clear firms seek to leverage data and embrace its potential insights, but most are forging ahead in largely uncharted territory.

For the next interview in our series speaking to technical leaders from around the world, we’ve welcomed Hikari Senju, Founder and CEO of Omneky. Hikari Senju is the founder and chief executive officer of Omneky, an AI platform for generating, analyzing, and optimizing personalized ads at scale.

Command and control your data with our new ultimate guide.

We recently had a chance to catch up with Heather Grebe, Senior Data Scientist at Daupler, which offers Daupler RMS, a 311 response management system, used by more than 200 cities and service organizations across North America and internationally. This platform helps utilities, public works, and other service organizations coordinate and document response efforts while reducing workload and collecting insights into response operations.

When Pentaho Enterprise Edition (EE) 9.3 was released in May it represented a significant step in the journey towards a seamless hybrid cloud solution – one that simplified decisions and enabled customers to manage all their data operations for various use case scenarios.

CDP Operational Database (COD) is a real-time auto-scaling operational database powered by Apache HBase and Apache Phoenix. It is one of the main data services that run on Cloudera Data Platform (CDP) Public Cloud. You can access COD from your CDP console.

You know the old saying “work smarter, not harder?” Turns out that’s easier said than done. How can your finance team transform the way it works and add strategic value to your organization? How can you shift your focus from menial tasks to tactical execution, and ultimately from tactical to strategic activities? In most companies, financial reporting consumes an inordinate amount of time and energy.

Database replication involves storing copies of a database in different locations. Learn how it works and how to get started.

In 1987, economist Robert Solow declared, “You can see the computer age everywhere but in the productivity statistics.” He noted that despite massive investments in computer hardware and software, companies saw a decrease in fundamental productivity measures.

Since Snowflake’s inception, we’ve had the needs of our customers as our North Star, with a clear focus on security and governance of data. Early on we also committed to continuous innovations to improve performance and reduce latencies, and by virtue of our business model continuously improve the economics for our customers.

A good data visual can provide a very fast construct of a situation or trend – useful when you have a large, complex dataset or information that isn’t joined or connected. There are many types of data visualizations available. Which is the right one for your use case?

Your business needs actionable insights from your Oracle ERP data to respond to volatile market conditions and outpace your competition. But generating custom reports requires deep technical knowledge and the process is often managed by IT. The process can often take weeks, if not months, and, in many cases, the report or dashboard is limited to a single use case and applicable only to a single business unit or user – often only the requester.

In its 2022 Magic Quadrant™ for Data Quality Solutions report, Gartner® emphasizes the “importance of having a critical approach toward managing the health and fitness of data.” We agree that “poor data quality completely destroys business value.” Organizations simply cannot afford for data quality to be an afterthought. And if you’re currently in the process of evaluating data solutions for your organization, this report can help.

BigQuery’s impressive performance reduces processing time from months to hours and delivers on-demand real-world insights for Telus.

Whether you call it self-service analytics or self-service business intelligence (BI), there has been much discussion about the perils, myths, promises, and prospects of successfully building self-service capability. Going forward, I’ll use the phrase “self-service BI” but you are welcome to substitute the words “self-service analytics”.So, is self-service BI actually attainable or just snake oil?

Cloudera has been working on Apache Ozone, an open-source project to develop a highly scalable, highly available, strongly consistent distributed object store. Ozone is able to scale to billions of objects and hundreds petabytes of data. It enables cloud-native applications to store and process mass amounts of data in a hybrid multi-cloud environment and on premises.

Are legacy systems and information silos helping or hindering you from getting the most from your data? A TDWI Research report suggests it may be time to rethink your data architecture.

A data pipeline is a series of actions that combine data from multiple sources for analysis or visualization.

As data science and machine learning adoption has grown over the last few years, Python is catching up to SQL in popularity within the world of data processing. SQL and Python are both powerful on their own, but their value in modern analytics is highest when they work together.

Snowflake is committed to helping developers focus on building their apps and businesses rather than on infrastructure management. At this year’s Snowday, Snowflake announced a series of advancements that empower developers to do more with their data, enhancing productivity and unlocking new ways to develop applications, pipelines, and machine learning (ML) models with Snowflake’s unified data platform.

What’s your API data telling you about your Web3 App? By lifting relevant information from your App’s API transactions and call logs, you can identify and proactively catch issues before they’re surfaced by your customers. Keep your customers happy and reduce churn - make your customer success team performant.

Financial statements tell an important story, but they rarely tell the entire story. It often requires a sharp eye and a healthy measure of experience to elicit meaningful information from the numbers. Even people with keen financial acumen will have questions, and they can easily overlook important realities that lay buried somewhere within the details. For those with less experience reading financial reports, this task is far more difficult.

Managers of data teams add value through alignment. Learn the essential criteria for evaluating the success of data team managers.

True Fit, a data-driven personalization platform built on Google Data Cloud to provide fit personalization for retailers by sharing curated datasets.

Stories are a fundamental component of effective human communication. According to a study conducted by Stanford University professor Chip Heath, 63% of people are likely to remember a story shared as part of a presentation. He also found that speakers who merely present facts and figures only achieve a 5% recall rate among their audience. Stories convey meaning and context in ways that facts and figures alone cannot.

Today we announced the launch of Qlik Cloud Data Integration, our new Enterprise Integration Platform as a Service (eiPaaS) offering that is a significant expansion of our Qlik Cloud portfolio. It’s been quite a journey over the last few years that’s led to this moment.

Gaps in patient healthcare, ranging from access and affordability, to those specific to race, gender, age and beyond, are widening across the US and leading to a variety of detrimental results for people, the healthcare system, and the economy itself. Such ongoing disparities are slowing the country’s ability to achieve population health and accounting for billions of dollars in unnecessary health care spending annually.

Manufacturers are transforming their supply chain with Fivetran's automated and scalable real-time data movement.

It’s no secret that IT modernization is a top priority for the US federal government. A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage.

A performance study on real-time data Integration from Oracle to Google BigQuery Using Striim.