Alex Merced — Developer and technical writer sharing in-depth insights on data engineering, Apache Iceberg, data lakehouse architectures, Python tooling, and modern analytics platforms, with a strong focus on practical, hands-on learning.
333 articles from this blog
Explains how Apache Iceberg brings ACID transaction guarantees to data lakes, enabling reliable data operations on open storage.
An introduction to data lakehouses, explaining what they are, why they're used, and how to migrate to this modern data architecture.
Explores Polaris, an open-source catalog service for managing Apache Iceberg tables in data lakehouses, covering its architecture, entities, and security.
Explains how Apache Iceberg's design ensures data reliability, atomic operations, and serializable isolation for large-scale data lakehouses.
A list of upcoming tech talks and events by Alex Merced, focusing on Apache Iceberg, data lakehouses, and data engineering topics.
Explains the data lakehouse architecture, its layers (storage, table format, catalog, processing), and its advantages over traditional data warehouses.
A video course covering the fundamentals of lakehouse engineering using Apache Iceberg, Nessie, and Dremio for data management.
An introduction to common sorting algorithms like Bubble Sort, Merge Sort, and Quick Sort, implemented and explained in JavaScript.
Explores Apache Iceberg's advanced partitioning features, including hidden partitioning and transformations, for optimizing query performance in data lakes.
Explains three key Apache Iceberg features for data engineers: hidden partitioning, partition evolution, and tool compatibility.
A tutorial on using Dremio and Docker to run SQL queries directly on Excel files from your local machine.
A comprehensive guide to functional programming concepts in JavaScript, including pure functions, immutability, currying, memoization, and monads.
Explores the evolution of Apache Iceberg catalogs, focusing on the current REST Catalog and future proposals for server-side optimizations.
An introduction to Apache Iceberg, a table format for data lakehouses, explaining its architecture and providing learning resources.
A hands-on tutorial on building a data lakehouse pipeline using Spark, Dremio, and Superset to move and analyze data.
An overview of five impactful open-source data projects, including Apache Iceberg and Arrow, that are revolutionizing data management and analytics.
Explains why Dremio is a top platform for Apache Iceberg lakehouses, highlighting features like dataset promotion and data reflections.
Explores Apache Iceberg's catalog system, its role in data lakehouse architecture, and key considerations for choosing the right catalog.
Explores 10 reasons to adopt Apache Iceberg and Dremio for building a modern, flexible, and cost-effective data lakehouse architecture.
Explains the role, types, and selection criteria for catalogs in Apache Iceberg, a key component for managing data lakehouse tables.
