Category: Serverless

If you are currently running Amazon EMR 5.X clusters, consider moving to Amazon EMR 6.X as  it includes new features that helps you improve performance and optimize on cost. For instance, Apache Hive is two times faster with LLAP on Amazon EMR 6.X, and Spark 3 reduces costs by 40%. Additionally, Amazon EMR 6.x releases […]

June 2023: This post was reviewed and updated for accuracy. IMM (Institutional Money Market) is a mutual fund that invests in highly liquid instruments, cash, and cash equivalents. IMM funds are large financial intermediaries that are crucial to financial stability in the US. Due to its criticality, IMM funds are highly regulated under the security […]

Data lakes offer the possibility of sharing diverse types of data with different teams and roles to cover numerous use cases. This is very important in order to implement a data democratization strategy and incentivize the collaboration between lines of business. When a data lake is being designed, one of the most important aspects to […]

In today’s world, organizations are collecting an unprecedented amount of data from all kinds of different data sources, such as transactional data stores, clickstreams, log data, IoT data, and more. This data is often in different formats, such as structured data or unstructured data, and is usually referred to as the three Vs of big […]

July 2023: This post was reviewed for accuracy. AWS Glue DataBrew offers over 350 pre-built transformations to automate data preparation tasks (such as filtering anomalies, standardizing formats, and correcting invalid values) that would otherwise require days or weeks writing hand-coded transformations. You can now choose single or multiple output files instead of autogenerated files for […]

June 2023: This post was reviewed and updated for accuracy. In recent evolution in data lake technologies, it became popular to bring ACID (atomicity, consistency, isolation, and durability) transactions on Amazon Simple Storage Service (Amazon S3). You can achieve that by introducing open-source data lake formats such as Apache Hudi, Apache Iceberg, and Delta Lake. […]

Enterprise customers are modernizing their data warehouses and data lakes to provide real-time insights, because having the right insights at the right time is crucial for good business outcomes. To enable near-real-time decision-making, data pipelines need to process real-time or near-real-time data. This data is sourced from IoT devices, change data capture (CDC) services like […]

A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. Setting up and managing data lakes today involves a lot of manual, complicated, and time-consuming tasks. AWS Glue and AWS Lake Formation make it easy to build, secure, and manage data […]

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. This post is co-written by Kanti Singh, Director of Data & Analytics at Fresenius Medical Care. Fresenius Medical Care is the world’s leading provider of kidney care […]

Tens of thousands of AWS customers choose Amazon Simple Storage Service (Amazon S3) as their data lake to run big data analytics, interactive queries, high-performance computing, and artificial intelligence (AI) and machine learning (ML) applications to gain business insights from their data. On top of these data lakes, you can use AWS Lake Formation to […]