AWS Big Data Blog

Use Grok patterns in AWS Glue to process streaming data into Amazon Elasticsearch Service

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Recently, we launched AWS Glue custom connectors for Amazon OpenSearch Service, which provides the capability to ingest data into Amazon OpenSearch Service with just a few clicks. You can now use Amazon OpenSearch Service as a data store for your […]

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You can plot the output into a chart using matplotlib.

Analyzing petabytes of trade and quote data with Amazon FinSpace

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 […]

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How Digital Infuzion solves the challenge of large-scale scientific data collaboration with Amazon Quicksight

This is a guest post by Digital Infuzion. In their own words, “Digital Infuzion (DIFZ), a leader in information technology, helps solve complex challenges related to genomics, health, and biomedical data, while collaborating with partners including the J. Craig Venter Institute, Gryphon Scientific, ICF International, and others engaged in scientific research. Together, we create novel […]

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How OrthoFi delivers better insights for customers with Amazon Redshift and AWS Glue

This is a guest post by Christa Pierson and Jon Fearer at OrthoFi. OrthoFi is an orthodontic industry leader in revenue cycle management (RCM), and has partnered with more than 550 orthodontic practices across the country, delivering an end-to-end platform that enables orthodontists to bring on more patients and run their businesses more effectively. To […]

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Orchestrate AWS Glue DataBrew jobs using Amazon Managed Workflows for Apache Airflow

As the industry grows with more data volume, big data analytics is becoming a common requirement in data analytics and machine learning (ML) use cases. Analysts are building complex data transformation pipelines that include multiple steps for data preparation and cleansing. However, analysts may want a simpler orchestration mechanism with a graphical user interface that […]

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Enrich your data stream asynchronously using Amazon Kinesis Data Analytics for Apache Flink

Streaming data into or out of a data system must be fast. One of the most expensive pieces of any streaming system is the I/O of the system: reading from the streaming layer using Apache Kafka or Amazon Kinesis, reading a file, writing to an Amazon Simple Storage Service (Amazon S3) data lake, or communicating […]

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The following graph shows performance improvements measured as total runtime for TPC-DS queries. Amazon EMR 5.31 with EMR runtime has the better (lower) runtime.

Amazon EMR introduces EMR runtime for Presto, providing a 2.6 times speedup

Presto is an open-source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. Presto was designed and written from the ground up for interactive analytics, and approaches the speed of commercial data warehouses while scaling to the size of organizations like Facebook. Running Presto […]

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Amazon Redshift announces general availability of support for JSON and semi-structured data processing

At AWS re:Invent 2020, we announced the preview of native support for JSON and semi-structured data in Amazon Redshift. This includes a new data type, SUPER, which allows you to store JSON and other semi-structured data in Amazon Redshift tables, and support for the PartiQL query language, which allows you to seamlessly query and process […]

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Build a Lake House Architecture on AWS

Organizations can gain deeper and richer insights when they bring together all their relevant data of all structures and types and from all sources to analyze. In order to analyze these vast amounts of data, they are taking all their data from various silos and aggregating all of that data in one location, what many […]

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How Goldman Sachs migrated from their on-premises Apache Kafka cluster to Amazon MSK

This is a guest post by Zachary Whitford, Associate, Richa Prajapati, Vice President and Aldo Piddiu, Vice President in the Global Investment Research engineering team at Goldman Sachs. The Global Investment Research (GIR) division at Goldman Sachs delivers client-focused research in the equity, fixed income, currency, and commodities markets. GIR analysts help the firm’s investor […]

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