The growth of data has been exponential. By 2023, it's anticipated that approximately 463 exabytes (EB) will be created every day. To put this into perspective, one exabyte is a unit equivalent to 1 billion gigabytes. By 2021, 320 billion emails will be sent daily, many of which contain personal information. Data collected around the globe contains the type of information that businesses leverage to make more informed decisions.
Building a data lake in Amazon S3 using AWS Spectrum to query the data from a Redshift cluster is a common practice. However, when it comes to boosting performance, there are some tricks that are worth learning. One of those is using data in Parquet format, which Redshift considers a best practice. Here's how to use Parquet format with Xplenty for the best data lake performance.
It’s hard to believe that Unravel Data was founded eight years ago — though the first few years were dedicated to defining and building our initial product. Since this time, the company has raised several rounds of funding, released several versions of our flagship DataOps Platform, and is being used by some of the world’s leading brands to improve the efficiency and reliability of their data pipelines.
If you’re looking for an alternative to your legacy ETL database software for your cloud migration and ongoing replication, read on to learn more about key considerations.
If you’re evaluating the best ETL database software for your cloud migration, here’s our take on key differences.
Streaming analytics is crucial to modern business – it opens up new product opportunities and creates massive operational efficiencies. In many cases, it’s the difference between creating an outstanding customer experience versus a poor one – or losing the customer altogether. However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data.
Every API product manager wants as many developers as possible adopting and using their APIs. They want them to get to Hello World quickly and have a great developer experience (DX) along the way. Of course, the bigger goal is to be able to tie API success into the larger objectives of the company. For many, despite the best intentions, their metrics are too simplistic, narrow, and based on outdated models of engagement.
