AWS Big Data Blog

DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development lifecycle and provide continuous delivery with high software quality. Similarly, BIOps (business intelligence and IT operations) can help your Amazon QuickSight admin team automate assets migration and version control. Your team can design the migration […]

This is a guest post co-written by Julien DeFrance of Tophatter and Jordan Myers of Etleap. Tophatter is a mobile discovery marketplace that hosts live auctions for products spanning every major category. Etleap, an AWS Advanced Tier Data & Analytics partner, is an extract, transform, load, and transform (ETLT) service built for AWS. As a […]

Customers today want to focus more on their core business model and less on the underlying infrastructure and operational burden. As customers migrate to the AWS Cloud, they’re realizing the benefits of being able to innovate faster on their own applications by relying on AWS to handle big data platforms, operations, and automation. Many of […]

Increasingly, a business’s success depends on its agility in transforming data into actionable insights, which requires efficient and automated data processes. In the previous post – Build a SQL-based ETL pipeline with Apache Spark on Amazon EKS, we described a common productivity issue in a modern data architecture. To address the challenge, we demonstrated how to utilize a declarative approach as the key enabler to improve efficiency, which resulted in a faster time to value for businesses. Generally speaking, managing applications declaratively in Kubernetes is a widely adopted best practice. You can use the same approach to build and deploy Spark applications with open-source or in-house build frameworks to achieve the same productivity goal.

Today, the most successful and fastest growing companies are generally data-driven organizations. Taking advantage of data is pivotal to answering many pressing business problems; however, this can prove to be overwhelming and difficult to manage due to data’s increasing diversity, scale, and complexity. One of the most popular technologies that businesses use to overcome these […]

MEDHOST has been providing products and services to healthcare facilities of all types and sizes for over 35 years. Today, more than 1,000 healthcare facilities are partnering with MEDHOST and enhancing their patient care and operational excellence with its integrated clinical and financial EHR solutions. MEDHOST also offers a comprehensive Emergency Department Information System with […]

In this post, we discuss how to use AWS Glue Data Catalog to simplify the process for adding data descriptions and allow data analysts to access, search, and discover this cataloged metadata with BI tools. In this solution, we use AWS Glue Data Catalog, to break the silos between cross-functional data producer teams, sometimes also known […]

In any business intelligence system, securing and restricting access to the data is important. For example, you might want a particular dashboard to only be viewed by the users with whom the dashboard has been shared, yet customize the data displayed on that dashboard per user by implementing row-level security. With row-level security, you can […]

This blog was last reviewed May, 2022. In August 2020, we announced the availability of AWS Glue 2.0. AWS Glue 2.0 reduced job startup times by 10x, enabling customers to reali­­ze an average of 45% cost savings on their extract, transform, and load (ETL) jobs. The fast start time allows customers to easily adopt AWS […]

If you use data lakes in Amazon Simple Storage Service (Amazon S3) and use SAP HANA as your transactional data store, you may need to join the data in your data lake with SAP HANA in the cloud, SAP HANA running on Amazon Elastic Compute Cloud (Amazon EC2), or with an on-premises SAP HANA, for […]