Systems | Development | Analytics | API | Testing

The scientific method is a proven route to successful, tested and verified improvement. Here’s how to combine it with BI.

There are two big gaps in the Apache Kafka project when we think of operating a cluster. The first is monitoring the cluster efficiently and the second is managing failures and changes in the cluster. There are no solutions for these inside the Kafka project but there are many good 3rd party tools for both problems. Cruise Control is one of the earliest open source tools to provide a solution for the failure management problem but lately for the monitoring problem as well.

Integration is a very important part of the business world, but integrating different functions can be difficult for those without a technical background. This article lists the top API integrations that can help you integrate your systems and make your experience as easy and hassle-free as possible.

Google Analytics replaced views in Universal Analytics with data filters in GA4. Here is how to set up and use these filters.

Across the federal government, agencies are struggling to identify, organize, analyze, and act on troves of data. It’s a problem that leaders are working actively to tackle, but they’re in a race against immeasurable volumes of data that is continuously being generated in perpetuity in stores known and unknown. At the Internal Revenue Service, decades’ worth of data exceeds even the most cutting-edge processing capabilities.

Shared Data Experience (SDX) on Cloudera Data Platform (CDP) enables centralized data access control and audit for workloads in the Enterprise Data Cloud. The public cloud (CDP-PC) editions default to using cloud storage (S3 for AWS, ADLS-gen2 for Azure). This introduces new challenges around managing data access across teams and individual users. To solve these challenges for S3 and ADLS-gen2, Cloudera has introduced a new service — the Ranger Authorization Service (RAZ).

According to Gartner, leading organizations in every industry are wielding data and analytics as competitive weapons. Companies that leverage data as a competitive differentiator will stand the best chance of acting faster on opportunities and responding to threats in a competitive marketplace. The problem is that most companies aren’t aware of the value of their data. As a result, they aren’t leveraging the full potential of their data to make informed decisions.

MongoDB vs DynamoDB: How do you choose between them? Whether you are a two-man team bootstrapping a proof of concept or an established one battling with high throughput and heavy load; this post can serve as a guidepost in your decision process. Before going into the details, a brief history lesson on how these technologies emerged is pertinent; you must understand the optimal conditions for running these systems and how they operate in the wild before making an informed choice.

Gartner predicts that by 2023, organizations that promote data sharing will outperform their peers on most business value metrics. According to Debra Logan, Gartner’s Research Vice President, “Data sharing is the way to optimize higher quality data and more robust data and analytics to solve business challenges and goals.” Given these numbers, it is clear that businesses will need to embrace application software integration as a core business strategy.

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