Learn about loading and storing data using Hive, an open-source data warehouse system, and Pig, which can be used for the ETL data pipeline and iterative processing.
Here we dive into deeply nested code, how or when it arises, the problems it poses, and the challenges involved in refactoring it out into something more useful.
Digging deeper into Kafka architecture, this article covers the details of replication, failover, and parallel processing in this data pipeline software.
Whether you're brand new or an old pro, it's always good to brush up on exception handling practices to make sure you and your team can deal with problems.
Have you ever used the latest version a library only to have it be way worse than the older iteration? This dev sure has and offers some advice on library versioning.
Password strength and security is an all important aspect of keeping your data secure. Learn how dev teams can use this AWS service to encrypt/decrypt passwords.
CORE
