Remove Business Analytics Remove Data Engineering Remove Examples
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The future of data: A 5-pillar approach to modern data management

CIO

This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process. Operational errors because of manual management of data platforms can be extremely costly in the long run.

Data 167
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What is data analytics? Analyzing and managing data for decisions

CIO

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics vs. business analytics.

Analytics 203
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No-code business intelligence service y42 raises $2.9M seed round

TechCrunch

Like similar startups, y42 extends the idea data warehouse, which was traditionally used for analytics, and helps businesses operationalize this data. At the core of the service is a lot of open source and the company, for example, contributes to GitLabs’ Meltano platform for building data pipelines.

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How Much Should I Be Spending On Observability?

Honeycomb

These are going to require us all to learn some slightly different skillsto think about data management in different ways; ways more like how business analytics teams are accustomed to managing their data than the way ops teams do. Over the long run, I think observability is moving towards a data lake type model.

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An A-Z Data Adventure on Cloudera’s Data Platform

Cloudera

The company has previously created a business unit tenant in CDP Public Cloud. There is an environment available on either Azure or AWS, using the company AWS account – note: in this blog, all examples are in AWS. Company data exists in the data lake. A Cloudera Data Engineering service exists.

Data 97
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New live online training courses

O'Reilly Media - Ideas

Understanding Business Strategy , August 14. Data science and data tools. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Debugging Data Science , June 26. Programming with Data: Advanced Python and Pandas , July 9.

Course 93
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Don’t Blink: You’ll Miss Something Amazing!

Cloudera

Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. This real-time data, when captured and analyzed in a timely manner, may deliver tremendous business value.