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Analytics

When to Use Change Data Capture

Automated ETL (extract, transform, load) and data integration workflows are essential for the modern data-driven organization, and they can swiftly and efficiently migrate data from sources to a target data warehouse or data lake. But ETL must run at regular intervals — or even in real-time — so how can you know which information is fresh and which information you’ve already ingested? Solving this problem is the goal of change data capture (CDC) techniques.

Why CFOs Should Champion the Consumption Business Model

Traditionally, CFOs focus on cost and cost control when managing the financial actions of a company. “Value” is assessed by putting a quantifiable number behind everything. It’s time to shift that mindset and take into account a different kind of value—the kind you can derive from an investment. Rather than worrying solely about the bottom line, ask the question: If you spend more today, what will you end up creating tomorrow?

EDI Integration & Why It's Important to Your Business

In the age of digital transformation, EDI (Electronic Data Exchange) technology is used to create new business information flows that never existed on paper. As the technology grows, companies need to incorporate more than traditional EDI standards. There are country-specific laws (HIPAA, GDPR, etc.), data collection and protection guidelines, privacy laws, business intelligence guides, and more.

5 Reasons Why Row-Level Security is Wrong for Your Data Warehouse

Extracting your data from multiple sources and collecting it in a centralized data warehouse is hard enough—but how do you keep it safe once it arrives? Organizations use a variety of data security methods to protect sensitive and confidential information, including share-level security (all users sharing a password) and user-level security (with separate accounts and passwords for each user).

Integrating Data to Build Emotional Health: How SU Queensland Uses Talend to Enrich Service Delivery

The mission statement is so direct and uncomplicated. SU Queensland, a non-profit organization based in Australia, is all about “bringing hope to a young generation.” The realities of delivering on this charter, of course, are multi-dimensional and complex. SU Queensland provides a wide range of services to schools, churches, and community groups across Australia, including youth camps, school chaplains, community engagement programs, and training and support for youth workers.

Operationalizing Machine Learning for the Automotive Future

It’s no secret that global mobility ecosystems are changing rapidly. Like so many other industries, automakers are experiencing massive technology-driven shifts. The automobile itself drove radical societal changes in the 20th century, and current technological shifts are again quickly restructuring the way we think about transportation. The rapid progress in AI/ML has propelled the emergence of new mobility application scenarios that were unthinkable just a few years ago.

Delivering Modern Enterprise Data Engineering with Cloudera Data Engineering on Azure

After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. CDP Data Engineering offers an all-inclusive toolset that enables data pipeline orchestration, automation, advanced monitoring, visual profiling, and a comprehensive management toolset for streamlining ETL processes and making complex data actionable across your analytic teams.

A CDO's Field Guide to Finding Value in Data

A proverb from the Democratic Republic of the Congo says, “A good chief is like a forest: Everyone can go there and get something.” And, a Chief Data Officer is no exception. According to Forrester Research published in January 2021, data leaders today face a broad mandate as the role has expanded over the years. In the early years, CDOs mostly reported to technology leaders.

[MLOps] The Clear SHOW - S02E11 - DIY Strikes Back! Building the Model Store!

Ariel extends ClearML's "experiment first" approach towards a "model first" approach - by building a model store. See how easy it is to add metadata to the model artifacts. + Colab notebook (uses the demo server, just run it and see what happens) ClearML is the only open-source tool to manage all your MLOps in a unified and robust platform providing collaborative experiment management, powerful orchestration, easy-to-build data stores, and one-click model deployment.