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How Novanta’s CIO mobilized its data-driven transformation

CIO Business Intelligence

When I joined, there was a lot of silo data everywhere throughout the organization, and everyone was doing their own reporting. It was also a lot of churning for the different groups to come up with those data on the weekly, monthly and quarterly basis.” Here are some edited excerpts of that conversation.

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Data Modeling 201 for the cloud: designing databases for data warehouses

erwin

The first and most important thing to recognize and understand is the new and radically different target environment that you are now designing a data model for. Star schema: a data modeling and database design paradigm for data warehouses and data lakes. You can pre-scan and pre-aggregate data to speed up queries.

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Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

AWS Big Data

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Not that I’m implying anything about current economic conditions vis-a-vis the timing of this report… #justsayin. Data coming from machines tends to land (aka, data at rest ) in durable stores such as Amazon S3, then gets consumed by Hadoop, Spark, etc. in lieu of simply landing in a data lake.