Creating a Data Science Team
Generally, a data science team is composed of Data Scientists, Data Engineers, Machine Learning Engineers, and Data Analysts...
Data modelling
2019 – The Year of the Data Lake Revamp
Data Lakes are touted as a key component of digital transformation. Indellient Optyks discusses how to avoid common Data Lake pitfalls.
Debunking the Myth of the Data Warehouse Demise
Data Warehouse or Data Lake? Where is the trend heading? Both have their uses and we discuss where you should be using a Data Warehouse or a Data Lake.
Data Vault: What is it and when should it be used?
Data Vault 2.0 methodology takes not only modeling technique, but provides an entire methodology for all Data Warehouse Projects.
MetaData Management: Lessons from the Data Architecture Summit 2018
The Summit covered a broad range of popular tracks including AI, Big Data, Data Engineering & Science, Metadata Management, and Data Modelling.