Three important things for implementation of data management strategies in a company
Five mistakes to avoid when building a data analytics platform
What is expected to come in 2021 in field of data collection?
A review of two data ingestion tools - comparison, advantages, disadvantages
Overcoming data scarcity and privacy challenges - with synthetic data - when, why to use it
Metadata is useless - if not applied - application is everything
Improving data warehouse quality - with quality checks (helping to detect bugs in ETL pipelines, etc.), improving data consistency etc.
Typical technical debts within data warehouses and data lakes and how to fight them
Netflix way of optimizing data warehouse storage
What is feature store and how it differs from data warehouse?
AutoML tools can be really useful, but you should know how to analyze performance of generated models etc.
Enterprise machine learning challenges and strategies for 2021
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