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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

For instance, for a variety of reasons, in the short term, CDAOS are challenged with quantifying the benefits of analytics’ investments. Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service.

Insurance 250
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Why We Started the Data Intelligence Project

Alation

In 2018, American Family Insurance became an Alation customer and I became the product owner for the AmFam catalog program. In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist. degrees in Data Engineering over the past 2 years, while others have expanded existing M.S.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

to join data science teams, e.g., to support advertising, social networks, gaming, and so on—I hired more than a few. 2018 – Global reckoning about data governance, aka “Oops!…We Data governance, for the win! The following diagram shows an idealized workflow for projects handled by a data science team.

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Q&A with Greg Rahn – The changing Data Warehouse market

Cloudera

In the Hadoop world, or the big data world, most of these components are separate and modular, but yet interact together to form a system that behaves very similarly. For example, Impala uses the Hive metastore catalog as its data dictionary and it operates directly on data existing in HDFS, which is found through the Namenode API.

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Turning Streams Into Data Products

Cloudera

Moving beyond traditional data-at-rest analytics: next generation stream processing with Apache Flink. By 2018, we saw the majority of our customers adopt Apache Kafka as a key part of their streaming ingestion, application integration, and microservice architecture. Without context, streaming data is useless.”