Category: AWS Glue

In today’s data-driven world, the ability to effortlessly move and analyze data across diverse platforms is essential. Amazon AppFlow, a fully managed data integration service, has been at the forefront of streamlining data transfer between AWS services, software as a service (SaaS) applications, and now Google BigQuery. In this blog post, you explore the new Google BigQuery connector in Amazon AppFlow and discover how it simplifies the process of transferring data from Google’s data warehouse to Amazon Simple Storage Service (Amazon S3), providing significant benefits for data professionals and organizations, including the democratization of multi-cloud data access.

In this post, we describe how Cognizant’s Data & Intelligence Toolkit (CDIT)- ETL Conversion Tool can help you automatically convert legacy ETL code to AWS Glue quickly and effectively. We also describe the main steps involved, the supported features, and their benefits.

A data lake is a centralized repository that you can use 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 then run different types of analytics for better business insights. Over the years, data lakes on Amazon Simple Storage […]

Organizations are grappling with the ever-expanding spectrum of data formats in today’s data-driven landscape. From Avro’s binary serialization to the efficient and compact structure of Protobuf, the landscape of data formats has expanded far beyond the traditional realms of CSV and JSON. As organizations strive to derive insights from these diverse data streams, the challenge […]

In today’s digital age, data is at the heart of every organization’s success. One of the most commonly used formats for exchanging data is XML. Analyzing XML files is crucial for several reasons. Firstly, XML files are used in many industries, including finance, healthcare, and government. Analyzing XML files can help organizations gain insights into […]

To ease the transition of data lake permissions from an IAM and S3 model to Lake Formation, we’re introducing a hybrid access mode for AWS Glue Data Catalog. This feature lets you secure and access the cataloged data using both Lake Formation permissions and IAM and S3 permissions. Hybrid access mode allows data administrators to onboard Lake Formation permissions selectively and incrementally, focusing on one data lake use case at a time. For example, say you have an existing extract, transform and load (ETL) data pipeline that uses the IAM and S3 policies to manage data access. Now you want to allow your data analysts to explore or query the same data using Amazon Athena. You can grant access to the data analysts using Lake Formation permissions, to include fine-grained controls as needed, without changing access for your ETL data pipelines.

AWS Glue interactive sessions offer a powerful way to iteratively explore datasets and fine-tune transformations using Jupyter-compatible notebooks. Interactive sessions enable you to work with a choice of popular integrated development environments (IDEs) in your local environment or with AWS Glue or Amazon SageMaker Studio notebooks on the AWS Management Console, all while seamlessly harnessing […]

AWS Glue interactive sessions allow you to run interactive AWS Glue workloads on demand, which enables rapid development by issuing blocks of code on a cluster and getting prompt results. This technology is enabled by the use of notebook IDEs, such as the AWS Glue Studio notebook, Amazon SageMaker Studio, or your own Jupyter notebooks. […]

This is a guest post by Khandu Shinde, Staff Software Engineer and Edward Paget, Senior Software Engineering at Chime Financial. Chime is a financial technology company founded on the premise that basic banking services should be helpful, easy, and free. Chime partners with national banks to design member first financial products. This creates a more […]

Many customers are interested in boosting productivity in their software development lifecycle by using generative AI. Recently, AWS announced the general availability of Amazon CodeWhisperer, an AI coding companion that uses foundational models under the hood to improve software developer productivity. With Amazon CodeWhisperer, you can quickly accept the top suggestion, view more suggestions, or […]