By Dan Linstedt Where Did The Agile Methodology Come From? Agile methodology and the word “agile” is thrown around boardrooms and scope documents like confetti at a child’s birthday party. Perhaps there is no adjective (or is it a proper noun?) thrown around more actively among data engineers and their managers than the term agile.
Come TALK TO ME LIVE! Bring your questions – even if they aren’t about Agile Implementation, this is your chance to talk with me live. The Data Vault 2.0 Agile Implementation Cycle is a key piece and very often misunderstood. Using and leveraging it correctly can make or break your projects. Too many teams get…
Hi Everyone! We want to encourage you to engage in helping evolve the Data Vault Standards. While this is not a democratic process (as we don’t believe in voting for standards), this must be an evolutionary process. In that light, we want community suggestions. However, the proper rigor must be applied to the new standards
By Cynthia Meyersohn To close out this series of articles that have been focused on the data replication introduced by the processes outlined in “Build a Schema-On-Read Analytics Pipeline Using Amazon Athena”, by Ujjwal Ratan, Sep. 29, 2017, on the AWS Big Data Blog, https://aws.amazon.com/blogs/big-data/build-a-schema-on-read-analytics-pipeline-using-amazon-athena/ (Ratan, 2017), I will talk about an approach that I
By Cynthia Meyersohn Continuing from Part 1 of this series, this article is following the breakdown of the AWS Schema-on-Read analytics pipeline with a focus on data movement and replication. You may recall we are tracing through the data processes outlined in “Build a Schema-On-Read Analytics Pipeline Using Amazon Athena”, by Ujjwal Ratan, Sep. 29,
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By Dan Linstedt Where Did The Agile Methodology Come From? Agile methodology and the word “agile” is thrown around boardrooms and scope documents like confetti at a child’s birthday party. Perhaps there is no adjective (or is it a proper noun?) thrown around more actively among data engineers and their managers than the term agile….
Come TALK TO ME LIVE! Bring your questions – even if they aren’t about Agile Implementation, this is your chance to talk with me live. The Data Vault 2.0 Agile Implementation Cycle is a key piece and very often misunderstood. Using and leveraging it correctly can make or break your projects. Too many teams get stuck here or do this incorrectly, causing all sorts of issues.
Hi Everyone! We want to encourage you to engage in helping evolve the Data Vault Standards. While this is not a democratic process (as we don’t believe in voting for standards), this must be an evolutionary process. In that light, we want community suggestions. However, the proper rigor must be applied to the new standards…
By Cynthia Meyersohn To close out this series of articles that have been focused on the data replication introduced by the processes outlined in “Build a Schema-On-Read Analytics Pipeline Using Amazon Athena”, by Ujjwal Ratan, Sep. 29, 2017, on the AWS Big Data Blog, https://aws.amazon.com/blogs/big-data/build-a-schema-on-read-analytics-pipeline-using-amazon-athena/ (Ratan, 2017), I will talk about an approach that I…
By Cynthia Meyersohn Continuing from Part 1 of this series, this article is following the breakdown of the AWS Schema-on-Read analytics pipeline with a focus on data movement and replication. You may recall we are tracing through the data processes outlined in “Build a Schema-On-Read Analytics Pipeline Using Amazon Athena”, by Ujjwal Ratan, Sep. 29,…