Alex Merced is a Senior Tech Evangelist for Dremio, a developer, and a seasoned instructor with a rich professional background. Having worked with companies like GenEd Systems, Crossfield Digital, CampusGuard, and General Assembly.
Alex is a co-author of the O’Reilly Book “Apache Iceberg: The Definitive Guide.” With a deep understanding of the subject matter, Alex has shared his insights as a speaker at events including Data Day Texas, OSA Con, P99Conf and Data Council.
Driven by a profound passion for technology, Alex has been instrumental in disseminating his knowledge through various platforms. His tech content can be found in blogs, videos, and his podcasts, Datanation and Web Dev 101.
Moreover, Alex Merced has made contributions to the JavaScript and Python communities by developing a range of libraries. Notable examples include SencilloDB, CoquitoJS, and dremio-simple-query, among others.
GET A FREE COPY OF “Apache Iceberg: The Definitive Guide” ENROLL IN THE “Apache Iceberg Crash Course” The data lakehouse concept has emerged as a revolutionary solution, blending the best of data lakes and data warehouses. As organizations strive to harness the full potential of their data, choosing the right data lakehouse solution becomes crucial. […]
Apache Iceberg Education Resources: Welcome to the “Apache Iceberg Crash Course” blog series, which complements our webinar series of the same name. Each blog post in this series is designed to provide a comprehensive summary of the content covered in the corresponding webinar session. In this inaugural post, we will explore the fundamentals of Data […]
Transcript Note: This transcript was created using speech recognition software. While it has been reviewed by human transcribers, it may contain errors. Opening Alex Merced: Hey, everybody! This is Alex Merced, and welcome to another episode of Gnarly Data Waves presented to you by Dremio. As usual, here I am as your host, and today, […]
Join our upcoming webinar to explore the future of data lakes and discover how NetApp and Dremio can revolutionize your analytics by delivering the next-generation of lakehouse with Apache Iceberg.
Data Mesh, Data Lakehouse, Data Fabric, Data Virtualization—there are many buzzwords describing ways to build your data platform. Regardless of the terminology, everyone seeks the same core features in their data platform: Many of these “Data X” concepts address different aspects of these goals. However, when you integrate solutions that cover all these needs, you […]
Data Mesh, Data Lakehouse, Data Fabric, Data Virtualization—there are many buzzwords describing ways to build your data platform. Regardless of the terminology, everyone seeks the same core features in their data platform: Many of these “Data X” concepts address different aspects of these goals. However, when you integrate solutions that cover all these needs, you […]
Data Mesh, Data Lakehouse, Data Fabric, Data Virtualization—there are many buzzwords describing ways to build your data platform. Regardless of the terminology, everyone seeks the same core features in their data platform: Many of these “Data X” concepts address different aspects of these goals. However, when you integrate solutions that cover all these needs, you […]
Snowflake is a popular data platform for its scalability, performance, and ease of use. It has revolutionized data warehousing by providing a fully managed service with built-in support for SQL and advanced analytics. Snowflake excels at handling large volumes of data, supporting complex queries, and integrating seamlessly with various data sources and tools. However, building […]
Apache Iceberg is a table format designed for data lakehouses. While many people focus on how table formats enable database-like ACID transactions on data lakes—allowing them to function like data warehouses, or “data lakehouses”—there is another equally powerful aspect: the metadata provided by these formats. This metadata can be used to execute transactions with optimal […]
When it comes to processing data for analytics and AI, one of the most popular and ubiquitous platforms is Snowflake. It improves the lives of its users with a user-friendly platform that allows: Snowflake is widely popular for good reason. However, with the advent of the Apache Iceberg data lakehouse, even more possibilities emerge. Incorporating […]
Data virtualization allows you to interact with multiple data systems through a single interface, treating them as a unified system. This capability lets you view all datasets across various systems and execute queries that utilize data from multiple sources simultaneously. This reduces the traditional need to move data across multiple systems to eventually make use […]
Introduction The Data Lakehouse is rapidly emerging as the ideal data architecture, utilizing a single source of truth on your data lake. This is made possible by technologies like Apache Iceberg and Project Nessie. Apache Iceberg, a revolutionary table format, allows you to organize files on your data lake into database tables and execute efficient […]
The quest for speed and efficiency is paramount, yet traditional approaches like materialized views, OLAP cubes, and BI extracts often fall short. While useful, these solutions can introduce complexities in maintenance, lead to increased storage costs, and suffer from latency issues that can hinder real-time decision-making. Recognizing these challenges, this article delves into an innovative […]
Apache Iceberg is a data lakehouse table format revolutionizing the data industry with unique features such as advanced partitioning, ACID guarantees, schema evolution, time travel, and more. Central to the functionality of Apache Iceberg tables is their catalog mechanism, which plays a crucial role in the evolution of how these tables are used and their […]
Data marketplaces have become invaluable resources for enriching internal data. These platforms offer a wealth of datasets that can enhance analytics and decision-making processes. However, a significant challenge arises as each marketplace typically requires you to access data from their specific storage solutions. This often necessitates moving data into their systems or transferring their data […]
