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 with an external system.

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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.

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Setup and manage data ingestion easily with Amazon Redshift native console integration with partners

We’re excited to announce that Amazon Redshift console partner integration is now generally available. This new console integration provides rapid provisioning and seamless integration with AWS partners. You can onboard with data integration partner solutions in less than a minute directly on the Amazon Redshift console, and ingest data from multiple data sources using partners’ pre-built connectors.

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Bill.com uses Amazon QuickSight to enable users with secure and governed enterprise BI

Bill.com is a leading provider of cloud-based software that simplifies, digitizes, and automates back-office financial processes for small and mid-size businesses. Bill.com helps businesses streamline their financial workflow, generate and process invoices, stream approvals, send and receive payments, sync with their accounting systems, and manage their cash.

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AQUA (Advanced Query Accelerator) – A Speed Boost for Your Amazon Redshift Queries

Amazon Redshift already provides up to 3x better price-performance at any scale than any other cloud data warehouse. We do this by designing our own hardware and by using Machine Learning (ML). For example, we launched the SSD-based RA3 nodes for Amazon Redshift at the end of 2019 ( Amazon Redshift Update – Next-Generation Compute Instances and Managed, Analytics-Optimized Storage ) and added additional node sizes last April ( Amazon Redshift update – ra3.4xlarge Nodes ), and last December ( Amazon Redshift Launches RA3.xlplus Nodes With Managed Storage ). In addition to high-bandwidth networking, RA3 nodes incorporate a sophisticated data management model.

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How Isentia improves customer experience by modernizing their real-time media monitoring and intelligence platform with Amazon Kinesis Data Analytics for Apache Flink

This is a blog post co-written by Karl Platz at Isentia. In their own words, “Isentia is the leading media monitoring, intelligence and insights solution provider in Asia Pacific, helping top-performing communication teams make sense of the world’s conversations in real-time.” Isentia is a publicly listed (ASX:ISD) media monitoring and intelligence company that provides software as a service (SaaS) tools used by thousands of users each day across eight countries in Australia and Southeast Asia.

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