How Much Lock-In Is Too Much? The Real Truth About Avoiding Vendor Lock-In in Data PlatformsEveryone talks about avoiding lock-in, but let’s be real — there’s no such thing as zero lock-in.1d ago1d ago
Evolutionary Architecture for Data Platforms — A Guide to Future-Proofing Your Data SystemsIntroduction1d ago1d ago
Can Hive Metastore ride the wave of table formats and data modernization?Hive Metastore has remained an important aspect of the Hadoop ecosystem. Since the beginning, Hive Metastore held the promise of an…Sep 4, 2024Sep 4, 2024
Why Iceberg requires a Catalog for ACID while Delta doesn’tBoth Apache Iceberg and Delta Lake offer ACID guarantees for Parquet files, each using different mechanisms to achieve this. Data lakes on…Aug 18, 2024Aug 18, 2024
Moving Away from Age-Old ‘Partitioning’: A New Era of Data ManagementIn the world of big data, traditional partitioning has long been the cornerstone of efficient query performance. However, as data volumes…Aug 13, 2024Aug 13, 2024
Polaris vs. Unity Catalog: Clearing Up the ConfusionThe month of June 2024 has been particularly confusing for data and AI professionals, especially those trying to understand the evolving…Jun 30, 2024Jun 30, 2024
Published inAnalytics VidhyaPipeline JunglesThis word came to my mind after I had numerous workloads running in production and I couldn't guarantee the SLA of my machine learning…Apr 26, 2021Apr 26, 2021
