Data Crafters Lab

Data Storage refers to how data is retained once it has been acquired. Storage runs across the entire data journey, often occurring in multiple places in a data pipeline, with storage systems crossing over with source systems, ingestion, transformation, and serving. In many ways, how data is stored impacts how it... [Read More]

“Data & Redis” is a series that introduces Redis as a real-time data platform. Through this series, you will learn how to collect, store, process, analyze, and expose data in real time using a wide variety of tools provided by Redis. Redis is an open-source, in-memory data store used as... [Read More]

“Data & Redis” is a new series that introduces Redis as a real-time data platform. Through this series, you will learn how to collect, store, process, analyze, and expose data in real time using a wide variety of tools provided by Redis.  [Read More]

You’ve reached the last stage of the data journey - serving data for downstream use cases. Now that the data has been ingested, stored, and processed into coherent and valuable structures, it’s time to get value from your data.  [Read More]

Up to this stage, data has primarily been passed from one place to another or stored. In this article, you’ll learn how to make it useful. Data Processing involves transforming raw data into valuable insights through analysis techniques like machine learning algorithms or statistical models depending on what type of... [Read More]