Category: AWS Big Data

Data is the fuel for AI; modern data is even more important for generative AI and advanced data analytics, producing more accurate, relevant, and impactful results. Modern data comes in various forms: real-time, unstructured, or user-generated. Each form requires a different solution. AWS’s data journey began with Amazon Simple Storage Service (Amazon S3) in 2006, […]

Big data is often defined by 3 Vs: greater variety, volumes, and velocity. Because of the three Vs, big data poses data management challenges that cannot be solved with traditional databases. Not only that, but trying to overcome these issues can lead to scaling problems, bottlenecks, and spiraling costs. To help with this, you need to […]

Organizations across every industry and sector are looking to easily and cost-effectively process vast amounts of data. Amazon EMR offers a way to instantly provision as much or as little capacity as needed to perform data- intensive tasks. When launching Amazon EMR, the IPs of the primary (master) and core node are automatically assigned at […]

A data lake is the fastest way to get answers from all your data to all your users. It’s a centralized repository that allows you to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data, and run different types of analytics—from […]