AWS Big Data Blog

This is a guest blog post by Michael Song and Rajesh Mikkilineni at Takeda. In their own words, “Takeda is a global, values-based, R&D-driven biopharmaceutical leader committed to discover and deliver life-transforming treatments, guided by our commitment to patients, our people and the planet. Takeda’s R&D data engineering team aspires to build a robust and […]

Log analytics is the most popular use case for Elasticsearch, and with the modern-day advent of the architectural tenet to log everything all the time, it can be a challenge to store and analyze this exponential data growth effectively with a minimal price-to-performance tag. With a proliferating number of applications, log volume to be analyzed […]

This is a guest post by Ori Nakar, Principal Engineer at Imperva. In their own words, “Imperva is a large cyber security company and an AWS Partner Network (APN) Advanced Technology Partner, who protects web applications and data assets. Imperva protects over 6,200 enterprises worldwide and many of them use Imperva Web Application Firewall (WAF) […]

Many customers are gathering large amount of data, generated from different sources such as IoT devices, clickstream events from websites, and more. To efficiently extract insights from the data, you have to perform various transformations and apply different business logic on your data. These processes require complex workflow management to schedule jobs and manage dependencies […]

This is a guest blog post by AWS Data Hero Stephane Maarek.  AWS launched IAM Access Control for Amazon MSK, which is a security option offered at no additional cost that simplifies cluster authentication and Apache Kafka API authorization using AWS Identity and Access Management (IAM) roles or user policies to control access. This eliminates […]

This is a joint blog post co-authored with Anu Jain, Graham Person, and Paul Conroy from JP Morgan Chase.  Most modern organizations recognize that their data benefits their entire enterprise. Data has value to the individual business process that produces it, but data’s additional potential can be realized when it’s shared and combined with other […]

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL. Amazon Redshift offers up to three times better price performance than any other cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of […]

Data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for all enterprise data and serve as common choice for a large number of users querying from a variety of analytics and ML tools. Often times you want to ingest data continuously into the data lake from multiple sources and query against the […]

Recently, we launched AWS Glue custom connectors for Amazon Elasticsearch Service (Amazon ES), which provides the capability to ingest data into Amazon ES with just a few clicks. You can now use Amazon ES as a data store for your extract, transform, and load (ETL) jobs using AWS Glue and AWS Glue Studio. This integration […]

We recently announced Amazon FinSpace, a fully-managed data management and analytics service that makes it easy to store, catalog, and prepare financial industry data at scale, reducing the time it takes for financial services industry (FSI) customers to find and access all types of financial data for analysis from months to minutes. Financial services organizations […]