Challenge: Single Person, Maximum Effectiveness Results: One person, < 3 months merged 2 systems, built a full EDW Gap Analysis Provided to Business Business Vault Generated via Automation Solution Business Vault and Information Layer Tailored to Business Needs Generated: 90% of the ETL code 100% of the Load and Staging Model What Did FinWise Achieve?…
I founded the Data Vault Alliance to bring together the global community of practitioners and experts. I am extremely excited that we are taking another step towards this goal by launching the DVA in Australasia this March with a full-day conference. Join us here https://bit.ly/36IwTaX
Too many consultancies provide the following advice: Model your data warehouse with source system relationships, maintain source system referential integrity. In this article we will explore why: a) this is really bad advice, and b) leads to a rigid data warehouse requiring re-engineering when loading a new source. If you want to build a data…
Warnings about Source System Data Vaults, what they are, how to correct them, and why Business Keys make a difference.
A look at how Data Vault Models can help Natural Language Processing, AI, ML, and DL algorithms.
By Cynthia Meyersohn, DataRebels LLC Do you really want your business or enterprise to be data–driven? Before you say, “Of course we do. Companies that do not embrace a data-driven approach to competition, market strategy, and process improvement will become extinct.” Understand, this is a trick question. The term data-driven has been around forever it…
Understanding #datavault 2.0, why DV2 is important, comparing with other data modeling methods, and how it works for #bigdata #iot, #streaming, #datawarehouse, and #datascience
Introduction The industry has been struggling for a long time with defining a data lake. We are taking the plunge, let’s properly define a data lake. I have seen hundreds of different definitions around the world, and none of them seem to provide an organization with the foundations they need to build a successful data lake.…
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 Picking up from Part 2 of this series where we left off having replicated the data a minimum of nine times, we will continue to identify additional data replication stages as we trace 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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Challenge: Single Person, Maximum Effectiveness Results: One person, < 3 months merged 2 systems, built a full EDW Gap Analysis Provided to Business Business Vault Generated via Automation Solution Business Vault and Information Layer Tailored to Business Needs Generated: 90% of the ETL code 100% of the Load and Staging Model What Did FinWise Achieve?…
I founded the Data Vault Alliance to bring together the global community of practitioners and experts. I am extremely excited that we are taking another step towards this goal by launching the DVA in Australasia this March with a full-day conference. Join us here https://bit.ly/36IwTaX
Too many consultancies provide the following advice: Model your data warehouse with source system relationships, maintain source system referential integrity. In this article we will explore why: a) this is really bad advice, and b) leads to a rigid data warehouse requiring re-engineering when loading a new source. If you want to build a data…
Warnings about Source System Data Vaults, what they are, how to correct them, and why Business Keys make a difference.
A look at how Data Vault Models can help Natural Language Processing, AI, ML, and DL algorithms.
By Cynthia Meyersohn, DataRebels LLC Do you really want your business or enterprise to be data–driven? Before you say, “Of course we do. Companies that do not embrace a data-driven approach to competition, market strategy, and process improvement will become extinct.” Understand, this is a trick question. The term data-driven has been around forever it…
Understanding #datavault 2.0, why DV2 is important, comparing with other data modeling methods, and how it works for #bigdata #iot, #streaming, #datawarehouse, and #datascience
Introduction The industry has been struggling for a long time with defining a data lake. We are taking the plunge, let’s properly define a data lake. I have seen hundreds of different definitions around the world, and none of them seem to provide an organization with the foundations they need to build a successful data lake….
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 Picking up from Part 2 of this series where we left off having replicated the data a minimum of nine times, we will continue to identify additional data replication stages as we trace through the data processes outlined in “Build a Schema-On-Read Analytics Pipeline Using Amazon Athena”, by Ujjwal Ratan, Sep. 29,…