AWS Big Data Blog

Category: AWS Glue

Enable self-service visual data integration and analysis for fund performance using AWS Glue Studio and Amazon QuickSight

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 […]

Detect and process sensitive data using AWS Glue Studio

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 […]

Identify source schema changes using AWS Glue

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 […]

Create single output files for recipe jobs using AWS Glue DataBrew

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 […]

Crawl Delta Lake tables using AWS Glue crawlers

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. […]

Interactively develop your AWS Glue streaming ETL jobs using AWS Glue Studio notebooks

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 […]

Set up and monitor AWS Glue crawlers using the enhanced AWS Glue UI and crawler history

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 […]

Set up federated access to Amazon Athena for Microsoft AD FS users using AWS Lake Formation and a JDBC client

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 […]

Introducing AWS Glue interactive sessions for Jupyter

Interactive Sessions for Jupyter is a new notebook interface in the AWS Glue serverless Spark environment. Starting in seconds and automatically stopping compute when idle, interactive sessions provide an on-demand, highly-scalable, serverless Spark backend to Jupyter notebooks and Jupyter-based IDEs such as Jupyter Lab, Microsoft Visual Studio Code, JetBrains PyCharm, and more. Interactive sessions replace […]

AWS Glue Python shell now supports Python 3.9 with a flexible pre-loaded environment and support to install additional libraries

AWS Glue is the central service of an AWS modern data architecture. It is a serverless data integration service that allows you to discover, prepare, and combine data for analytics and machine learning. AWS Glue offers you a comprehensive range of tools to perform ETL (extract, transform, and load) at the right scale. AWS Glue […]