This blog post is the first in a three-part series exploring Apache Iceberg and its role in modern data architectures and the emergence of data lakehouses.
Video deduplication optimizes storage by removing duplicates using techniques like segmentation, embeddings, and clustering to manage massive datasets efficiently.
Learn to efficiently deduplicate 100M+ images using distributed architectures, embeddings, FAISS for ANN search, and clustering to ensure accurate results.
Learn about how GenAI automates ETL pipelines, generates code, adapts to schema changes, and improves data processes with speed, efficiency, and precision.
Dedicated ETL pipelines are easy to set up but hard to scale, while common pipelines offer efficiency at the cost of complexity. Know which one to choose.
This article discusses the challenges faced during relational database migration to AWS using DMS, including source data, logging, and network bandwidth issues.
Kafka is a famous technology with a lot of great features and capabilities. This article explains Kafka producer and consumer configurations best practices.
Why are DQ checks critical for every data pipeline, and what are some of the different types of DQ alerts you can set up to enhance the reliability of your pipeline?
Apache Spark is a fast, open-source cluster computing framework for big data, supporting ML, SQL, and streaming. It’s scalable, efficient, and widely used.
Apache Flink is a crucial component of Apache Paimon since it offers the real-time processing power that enhances Paimon's strong consistency and storage features.