AWS Big Data Blog

According to an article in MIT Sloan Management Review, 9 out of 10 companies believe their industry will be digitally disrupted. In order to fuel the digital disruption, companies are eager to gather as much data as possible. Given the importance of this new asset, lawmakers are keen to protect the privacy of individuals and […]

This is a guest post by Kevin Chun, Staff Software Engineer in Core Engineering at NerdWallet. NerdWallet’s mission is to provide clarity for all of life’s financial decisions. This covers a diverse set of topics: from choosing the right credit card, to managing your spending, to finding the best personal loan, to refinancing your mortgage. […]

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. You can use AWS Glue to create, run, and monitor data integration and ETL (extract, transform, and load) pipelines and catalog your assets across multiple data stores. Typically, these […]

This is a guest post by Faye Crompton from Forwood Safety. Forwood provides fatality prevention solutions to organizations across the globe. At Forwood Safety, we have a laser focus on saving lives. Our solutions, which provide full content and proven methodology via verification tools and analytical capabilities, have one purpose: eliminating fatalities in the workplace. […]

Amazon EMR on Amazon EKS enables you to submit Apache Spark jobs on demand on Amazon Elastic Kubernetes Service (Amazon EKS) without provisioning clusters. With EMR on EKS, you can consolidate analytical workloads with your other Kubernetes-based applications on the same Amazon EKS cluster to improve resource utilization and simplify infrastructure management. Kubernetes uses namespaces to provide isolation between […]

AWS Glue streaming extract, transform, and load (ETL) jobs allow you to process and enrich vast amounts of incoming data from systems such as Amazon Kinesis Data Streams, Amazon Managed Streaming for Apache Kafka (Amazon MSK), or any other Apache Kafka cluster. It uses the Spark Structured Streaming framework to perform data processing in near-real […]

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. Amazon Redshift enables you to use your data to acquire new insights for your business and customers while keeping costs low. Together with price-performance, […]

Amazon Redshift RSQL is a command-line client for interacting with Amazon Redshift clusters and databases. You can connect to an Amazon Redshift cluster, describe database objects, query data, and view query results in various output formats. You can use enhanced control flow commands to replace existing extract, transform, load (ETL) and automation scripts. This post […]

Epos Now provides point of sale and payment solutions to over 40,000 hospitality and retailers across 71 countries. Their mission is to help businesses of all sizes reach their full potential through the power of cloud technology, with solutions that are affordable, efficient, and accessible. Their solutions allow businesses to leverage actionable insights, manage their […]

July 2023: This post was reviewed for accuracy. In the post Data preparation using Amazon Redshift with AWS Glue DataBrew, we saw how to create an AWS Glue DataBrew job using a JDBC connection for Amazon Redshift. In this post, we show you how to create a DataBrew profile job and a recipe job using […]