In this two-part blog post, we will first explore and understand the major steps that are executed by GridGain’s SQL query processing engine. More importantly, we will share how data is exchanged in the above process and learn about certain limitations that exist within this process.
After learning the basics in part one, we will then explore how to overcome those limitations in part two by…
GridGain Blog
In this 10-minute training course, we take you through writing your first queries using the three techniques of standard SQL, SQL via Java APIs, and Ignite’s KeyValue pair API.
This blog explores how distributed data is implemented in Apache Ignite and identifies solutions to three key data challenges: hardware capacity, hardware reliability, and performance issues.
We are thrilled to announce the release of GridGain Platform v8.9, adding new and enhanced integrations with popular data formats – including Apache Parquet, Apache Iceberg, CSV, and JSON – in order to enable more complete real-time analysis of your increasingly complex enterprise data.
In this blog post, we will explore how the Digital Integration Hub architecture can assist telecommunication companies in enhancing customer insights, creating additional revenue streams, and preparing for the 5G revolution.
Explore how Unified Real-Time Data Platforms power real-time analytics, fraud detection, and AI by unifying streaming and stored data at scale.
This blog explores a range of in-memory computing use cases in capital markets, including risk consolidation, portfolio management, pricing, and post-trade analysis. It also describes how the GridGain Unified Real-Time Data Platform and its use as a digital information hub (DIH) provide the real-time computing layer that enables those use cases.
GridGain recently published a micro-learning unit on GridGain University that delves into the different data loading strategies for Apache Ignite. These strategies include initial/regular batch load from files, database loading, real-time streaming, and ETL (Extract Transform & Load).
Improve query performance with Apache Ignite and pre-aggregated summary tables. Learn two advanced tactics to drive 10x or better query performance gains.
How are mobile carriers and equipment manufacturers meeting the demanding latency and speed requirements of new 5G deployments?