Related Content
 |
The Rise of Security Challenges for the Data Cloud Data is getting dispersed across numerous databases, microservices, analytics tools, and pipelines. This results in increased security concerns that will soon become “top-of-mind” for engineering and security teams alike. |
|
 |
Why You Should Automate Compliance Compliance policy is one of those things most employees find boring and useless. However, for employers, staying compliant is one of the most crucial tasks and can have serious legal and financial repercussions if not done properly. But how can you make following compliance policy easier for your employees? |
|
 |
7 Things to Know In 2021 about the New Privacy Laws Changing the Web In the past few years, we’ve experienced rapid changes in the online privacy landscape. Here are 7 key things everyone should know today regarding privacy on the Web.
|
|
 |
3 Serverless Strategies to Look for in 2021 In this article, we examine the three serverless applications deployment and development approaches that are transforming the application development process and acting as a catalyst for fast adoption of the DevOps practice across the board. |
|
 |
What Exactly Is Serverless? The word serverless—it’s everywhere. The word has been Googled an average of 100 times daily in 2020. Is serverless just a buzzword? A facade? Or a world where we won’t need servers anymore? |
|
 |
Breaking Down Apache’s Hadoop Distributed File System Apache Hadoop is a framework for big data. One of its main components is HDFS, Hadoop Distributed File System, which stores that data. You might expect that a storage framework that holds large quantities of data requires state-of-the-art infrastructure for a file system that does not fail, but quite the contrary is true. |
|
 |
Comparing Apache Hadoop Data Storage Formats Apache Hadoop can store data in several supported file formats. To decide which one you should use, analyze their properties and the type of data you want to store. Let's look at query time, data serialization, whether the file format is splittable, and whether it supports compression, then review some common use cases. |
|
 |
5 Pitfalls to Avoid When Developing AI Tools Developing a tool that runs on artificial intelligence is mostly about training a machine with data. But you can’t just feed it information and expect AI to wave a magic wand and produce results. The type of data sets you use and how you use them to train the tool are important. Here are five pitfalls to be wary of. |
