Jun 17, 2020
Why ingest when you can Onboard Data?
Written by Amar Arsikere
Every data analytics project starts with the critical first step of creating and operationalizing healthy data lakes. A unified data lake is created by onboarding multiple data sources. Onboarding a data ...

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Eckerson Report: Best Practices in DataOps

This Eckerson Group report recommends 10 vital steps to attain success in DataOps. 

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Feb 24, 2020
Written by Amar Arsikere
Data onboarding is the critical first step in operationalizing your data lake. DataFoundry automates data ingestion as well as the key functionality that must accompany ingestion to establish a complete ...

Oct 31, 2019
Written by Ramesh Menon
In this article, we discuss the largest industry shifts in big data from 2019, and where we see big data trends going as we head into 2020.

Jun 28, 2019
Written by Todd Goldman
What are the benefits and the details of the capabilities of an EDO2 system?

Jun 18, 2019
Written by Todd Goldman
EDO2 refers to the systems and processes that enable businesses to organize and manage data from disparate sources and process the data for delivery to analytic applications.

Feb 12, 2019
Written by Ramesh Menon
After data is ingested into a data lake, data engineers need to transform this data in preparation for downstream use. Challenges in data preparation tend to be a broad collection of issues that add up ...

Oct 03, 2018
Written by Amar Arsikere
In the not too a distant future, the business world will be split into two camps - companies which have an agile analytics capability and those companies that get eaten by the first group

Jul 30, 2018
Written by Ramesh Menon
Unleash yourself from the Teradata and Netezza data warehouse ball and chain. Moving to a modern data architecture has never been easier.

May 30, 2018
Written by Ramesh Menon
There are many "gotchas" in populating a data lake. Read on to find out the magic behind automating away many of the most difficult challenges.

May 14, 2018
Written by Ramesh Menon
There are a variety of tools and frameworks for data ingestion, and most will appear to be suitable in a proof-of-concept. Don't be deceived!