Analytics

Operationalize Your Insights - The Self-Service Data Roadmap, Session 4 of 4

In this webinar, Unravel CDO and VP Engineering Sandeep Uttamchandani describes the fourth and final step for any large, data-driven project: the Operationalize phase. You've found your data (Discover phase), readied it for processing (Prep phase), and built out your processing logic and machine learning model(s) (Build phase). Now you need to Operationalize all your work to data as a live project, in production.

Why Business Intelligence is a Security Risk

Business intelligence (BI) software, such as Microsoft Power Bi, allows organizations to leverage big data and make better business decisions. Select Hub reports that 48 percent of companies place high or critical importance on these solutions. However, BI tools introduce a level of security risk that businesses must address.

Accelerate Moving to CDP with Workload Manager

Since my last blog, What you need to know to begin your journey to CDP, we received many requests for a tool from Cloudera to analyze the workloads and help upgrade or migrate to Cloudera Data Platform (CDP). The good news is Cloudera has a tried and tested tool, Workload Manager (WM) that meets your needs. WM saves time and reduces risks during upgrades or migrations.

5 Factors to Consider When Choosing a Stream Processing Engine

Are you using the right stream processing engine for the job at hand? You might think you are—and you very well might be!—but have you really examined the stream processing engines out there in a side-by-side comparison to make sure? Our Choose the Right Stream Processing Engine for Your Data Needs whitepaper makes those comparisons for you, so you can quickly and confidently determine which engine best meets your key business requirements.

How to use CDC for database replication

In the age when data is the new oil, more than 80% of IT decision-makers delay their business decisions due to slow data processing. Architecting your ETL pipeline with database replication can speed up your data processes. Database replication creates an analytic database as a separate copy of your production database. This unburdens the transactional database from analytical queries while securing fresh data in the analytical database for faster time-to-insights.

Data insights made simple, flexible, and proactive? Cheers to that.

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The Clear SHOW - S02E04 - DataOps is All You Need (?)

Can you build your own feature store in two minutes? (sort of) Yes!!! DataOps is all you need. Join Ariel and T.Guerre to find out how! First time hearing about us? Go to - clear.ml! ClearML: One open-source suite of tools that automates preparing, executing, and analyzing machine learning experiments. Bring enterprise-grade data science tools to any ML project.