Discusses the risks of running analytics on operational databases and offers solutions to separate workloads.
Argues that 'Stream vs. Batch' is a misleading dichotomy; the real distinction is between 'Push vs. Pull' semantics in data processing.
Argues that 'Streaming vs. Batch' is a misleading dichotomy; the real distinction is between push and pull data semantics in processing systems.
Explains streaming data fundamentals, how streaming systems work, their use cases, and challenges compared to batch processing.
Explains batch processing fundamentals for data engineering, covering concepts, tools, and its ongoing relevance in data workflows.
An introduction to data engineering concepts, focusing on data sources and ingestion strategies like batch vs. streaming.
Explains the differences between batch and streaming data processing, covering OLTP, OLAP, and ETL concepts for data engineers.
A guide to implementing efficient batch processing in JPA/Hibernate by managing session cache, transaction size, and data fetching strategies.
Explains Lambda Architecture for Big Data, combining batch processing (Hadoop) and real-time stream processing (Spark, Storm) to handle large datasets.
A guide to batch optimizing PNG files using Photoshop, the TinyPNG plugin, and Adobe ExtendScript Toolkit.
