Tag: Big Data

SQL On The Edge #11 – Azure Data Lake Fundamentals

Warner Chaves, Principal Consultant at Pythian and Microsoft MVP explores and explains the basic fundamentals of Azure Data Lake.

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The Value Of Data In Business Today

Alejandro Cordero, Lead Database Consultant at Pythian, discusses the rising importance in business data, and how is adds value to an organization.

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5 Tips To Transform Your Online Client Experience

Lynda Partner, VP of Marketing at Pythian, provides 5 tips for improving client experience.

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Pythian Tech Chatter

TECH CHATTER_blog

At Pythian, the DevOps, Big Data, and Data Science teams use Slack for our IM system. We’re a diverse group drawn to a wide range of technologies so there’s some interesting and valuable chatter about what folks are reading. Here…

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GoldenGate 12.2 Big Data Adapters: part 2 – FLUME

In part two of his series on GoldenGate 12.2 Big Data Adapters, Gleb Otochkin, Principal Consultant and Certified Oracle Expert at Pythian, tries out the Flume adapter and analyzes how it works.

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GoldenGate 12.2 Big Data Adapters: part 1 – HDFS

Gleb Otochkin, Principal Consultant and Certified Oracle Expert at Pythian, discusses the HDFS adapter for the newest version of GoldenGate.

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Google Cloud Dataproc in ETL pipeline – Part 1 (Logging)

Pythian’s Big Data Principal Consultant at Pythian, Vladimir Stoyak talks about Google Cloud Dataproc, and provides an in depth look at logging in this technical blog post.

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Configure High Availability – Load Balancing for Hiveserver2

Manoj Kukreja, Pythian Big Data Consultant, provides you with the right steps to ensure that you have a smooth and available Hive system, performing under increased workloads.

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How to Deploy a Cluster

Zunaira Jamil, Pythian co-op student in our big data practice, walks you through her lessons learned and solutions when installing a cluster using Cloudera manager for the first time.

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Big Data Co-op Experience at Pythian

Zunaira Jamil, Pythian co-op student, describes her experiences while fulfilling her experience working with one of our Big Data teams and what she learned.

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