Learn about in-memory MapReduce, the Ignite in-memory file system, and the Hadoop file system cache. Also learn how to install and configure Hadoop and Ignite.
In this post we take a look at how to quickly create a Python function using AWS Lambda, including their configurations and uploading them to the service.
Let's dive into using named queries for JPA entities. The @NamedQuery annotation allows for finer control and enhanced functionality for your databases.
You can augment and enhance Apache Spark clusters using Amazon EC2's computing resources. Find out how to set up clusters and run master and slave daemons on one node.
Learn how to make sense of IaaS architecture, identifying API usage in apps, monitoring external services, dependencies, and APIs, and tackling dependencies.
Aggregates are all about transactional consistency. When there is a strong consistency rule between multiple entities, we make one of them responsible for enforcing it.
When it comes to integrating and managing data, there are quite a few tasks that are downright tedious. Data engineering is a tough job, but somebody's gotta do it!
You've written an awesome article, and now you need an equally awesome image. In this article, we share suggestions for selecting the right featured photo for your post.
Dive into importing and upserting data into Splice Machine. This guide covers the process as well as handling challenges like timestamps and special characters.
In this post, we'll go over various classes you can use in ADO.NET in order to work with Data Providers. We'll cover the code you need, and when to use each class.
The key to dealing with data is to figure out which audience is appropriate for each data set, and then open up that data to the correct audience via APIs.
Running tests that involve a database can sometimes be a bit hairy. In this post, we take a look at a TestContainers, a solution to help you get around those issues.
CORE
