AWS Big Data Blog

AWS Glue is a fully managed serverless service that allows you to process data coming through different data sources at scale. You can use AWS Glue jobs for various use cases such as data ingestion, preprocessing, enrichment, and data integration from different data sources. AWS Glue version 3.0, the latest version of AWS Glue Spark […]

Customers are increasingly building data lakes to store data at massive scale in the cloud. It’s common to use distributed computing engines, cloud-native databases, and data warehouses when you want to process and analyze your data in data lakes. Amazon EMR and AWS Glue are two key services you can use for such use cases. […]

Personally identifiable information (PII) data handling is a common requirement when operating a data lake at scale. Businesses often need to mitigate the risk of exposing PII data to the data science team while not hindering the productivity of the team to get to the data they need in order to generate valuable data insights. […]

Amazon Kinesis Data Analytics Studio makes it easy for customers to analyze streaming data in real time, as well as build stream processing applications powered by Apache Flink using standard SQL, Python, and Scala. Just a few clicks in the AWS Management console lets customers launch a serverless notebook to query data streams and get […]

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. This enables you to use your data to acquire new insights for your business and customers. Today, tens of thousands of AWS customers—from Fortune […]

Amazon Redshift accelerates your time to insights with fast, easy, and secure cloud data warehousing at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries. The new Amazon Redshift native identity provider authentication simplifies administration by sharing identity and group membership information to Amazon […]

Amazon Redshift accelerates your time to insights with fast, easy, and secure cloud data warehousing at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries. As enterprise customers look to build their data warehouse on Amazon Redshift, they have many integration needs with the […]

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. With Amazon Redshift, you can analyze all your data to derive holistic insights about your business and your customers. One of the challenges with security is that enterprises don’t want to have a concentration of superuser privileges amongst a handful of users. […]

AWS Glue Schema Registry now supports Protocol buffers (protobuf) schemas in addition to JSON and Avro schemas. This allows application teams to use protobuf schemas to govern the evolution of streaming data and centrally control data quality from data streams to data lake. AWS Glue Schema Registry provides an open-source library that includes Apache-licensed serializers […]

The AWS Well-Architected Data Analytics Lens provides a set of guiding principles for analytics applications on AWS. One of the best practices it talks about is build a central Data Catalog to store, share, and track metadata changes. AWS Glue provides a Data Catalog to fulfill this requirement. AWS Glue also provides crawlers that automatically […]