How to Convert XML to PARQUET?
To Convert XML to PARQUET format can be achieved either through automated enterprise tools or customized ETL scripts: Automated Enterprise Software:…
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Why Data Reconciliation Matters in AWS Glue: Finding Missing Records with Anti Joins
A pipeline can be green and still have a data problem. This is one of the things I learned while working with data pipelines. A Glue job can complet…
Stream 50 million rows without OOM: Lazy chunked Query Streaming.
Stream 50 million rows without OOM: Lazy chunked Query Streaming. Day 09 of the WClickHouse Open-Source Engineering Series. You don't need 64GB of R…
From Pandas DataFrame to ClickHouse in milliseconds without SQL loops.
Day 05 of the WClickHouse Open-Source Engineering Series. Never use df.iterrows() to insert data into an analytical database. WClickHouse insert_dat…
Zero-copy columnar transfer: Apache Arrow meets ClickHouse in Python.
Day 04 of the WClickHouse Open-Source Engineering Series. Row serialization is the biggest bottleneck in Python analytics. WClickHouse insert_arrow(…
Never create 1-row ClickHouse parts again: The built-in Buffer Manager.
Day 03 of the WClickHouse Open-Source Engineering Series. You don't need a Redis cluster just to protect ClickHouse from single-event streaming writ…
Mengenal Data Engineering: Pahlawan di Balik Layar Dunia Data - 23:08
Pernahkah Anda bertanya-tanya bagaimana perusahaan raksasa seperti Netflix atau Google mengelola data yang jumlahnya triliunan gigabyte setiap harin…
Modern Data Lakehouses: How Apache Iceberg Solved the Pitfalls of Hive Metastore
Introduction When a data platform grows from a few gigabytes to terabytes or petabytes, storing the data is only one part of the problem. A typical…
PyArrow, Explained: How Zero-Copy Actually Works, and Why It's Everywhere
Every time data moves between two tools in a modern Python data stack — a DuckDB query result becoming a pandas DataFrame, a Polars frame getting ha…
Sharing memory between processes with java.lang.foreign and jextract
Java Foreign Function and Memory API ( java.lang.foreign ) is a powerful tool that you can use to take advantage of various OS-specific optimization…
Install Hadoop on WSL2 Ubuntu (2026): Complete Step-by-Step Guide
If you've searched "install Hadoop on WSL," you've probably found guides from 2020–2023, most written for WSL1 or old Hadoop 3.2/3.3.0 builds. This…
[EN] Data Driven/Big Data Series #1: Apache Kafka and Elastic Stack Roles
This is the first in a series exploring the roles of Search and Streaming technologies within the Data Driven (Big Data) environment. In this post,…
Apache Data Lakehouse Weekly: August 5 - August 12, 2026
This Week at a Glance The Iceberg community opened a formal scoping discussion for the v4 table spec, with Daniel Weeks laying out three workstream…
The pipeline passed. The data still needs proof.
A pipeline job finishes without an error. The new table has 18% fewer rows. Should you rerun the pipeline, stop the release, or trust the new output…
The Future of Query Optimization: AI-Driven Insights in Big Data
Query optimization has never been a solved problem. The moment you think your database is running efficiently, data volumes triple, access patterns…
The Next Decade of Data Engineering: From Modern Data Stack to Data Engineering Harness
Over the past decade, the core evolution of data engineering has been the deconstruction and reconstruction of traditional data warehouse architectu…
Migrating a ScyllaDB Cluster the “Brain Transplant” Way
Ever tried migrating a ScyllaDB/Cassandra cluster when traditional replication tools are off the table? I went a little "mad scientist" and pulled o…
Valentina Studio v17.3 supports new VARIANT field type of DuckDB v1.5
News for DuckDB users! Valentina Studio 17.3 now fully supports the new DuckDB VARIANT type on all three desktop platforms — Windows, macOS and Linu…