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.re:Invent 2020

Dec 21st 2020-3 min read
David Krohn profile Picture
David KrohnAWS Solution Architect

re:Invent the highlight for each AWS enthusiast. Due to Corona, AWS decided to do this event only online this year. But no worries, as the last two years (2019 - 2018), we help you to be as close as possible to the event. We will use this page to list every new service and every feature what AWS announced during the whole time.

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Event information

Where: Online
When: Nov. 30 - Dec 18,2020
Agenda: Session Catalog - Virtual Attendee Guide

re:Invent-2020

News by Categories:

Analytics:

FeatureServiceDescriptionPreview / Region availability
RedshiftWith the new console partner integration, you can accelerate data onboarding and create valuable business insights in minutes by integrating with select partner solutions. With these solutions, you can bring data from applications like SalesForce, Google Analytics, Facebook Ads, Slack, Jira, Splunk, and Marketo into your Amazon Redshift data warehouse in an efficient and streamlined way.Preview
RedshiftAutomatic Table Optimization, a new self-tuning capability that optimizes the physical design of tables by automatically setting sort and distribution keys to improve query speed.
RedshiftData sharing enables instant, granular, and high-performance data access across Amazon Redshift clusters without the need to copy or move data.
RedshiftAmazon Redshift supports the parsing of JSON data into SUPER and up to 5x faster insertion of JSON/SUPER data in comparison to inserting similar data into classic scalar columns. Redshift also adds support for the PartiQL query language to seamlessly query and process the semi-structured data.Preview
Lake FormationAWS Lake Formation transactions, row-level security, and acceleration are available via new, open, and public update and access APIs for data lakes. In addition we introduce governed tables - a new Amazon S3 table type that supports atomic, consistent, isolated, and durable (ACID) transactions.Preview - US East (N. Virginia)
EMREMR Studio is an integrated development environment (IDE) that makes it easy for data scientists and data engineers to develop, visualize, and debug data engineering and data science applications written in R, Python, Scala, and PySpark.Public Preview - US East (N. Virginia), US West (Oregon), and EU (Ireland)
QuickSightAmazon QuickSight Q, a Natural Language Query (NLQ) feature powered by machine learning (ML). With Q, business users can now use QuickSight to ask questions about their data using everyday language and receive accurate answers in seconds.Preview - US East (N. Virginia), US West (Oregon), US East (Ohio) and Europe (Ireland)
ElasticsearchAmazon Elasticsearch Service now offers support for Remote Reindex, enabling you to migrate data from a remote cluster into Amazon Elasticsearch Service. With this feature, you can simply copy data from one cluster to another, making it easier to migrate from legacy versions of Elasticsearch. Remote Reindex also supports migrating indexes from self-managed Elasticsearch onto Amazon Elasticsearch Service, providing a simple mechanism to onboard onto the service.
ElasticsearchAmazon Elasticsearch Service now supports Piped Processing Language (PPL), a new feature that enables users to explore, discover and find data stored in Amazon ES, using a set of commands delimited by pipes. PPL extends Elasticsearch to support a standard set of commands that is easy for system developers, DevOps engineers, support engineers, site reliability engineers (SREs), and IT managers who are proficient with Linux or Unix to learn.
GlueWorkload partitioning enables you to specify how much data to process in each job-run and, using AWS Glue job bookmarks, track how much of the data AWS Glue processed.
MSKMSK now offers consumer lag metrics for new Amazon MSK clusters by default, making it easier for you to track whether your applications are consuming the latest data available in your Apache Kafka cluster.
GlueAWS Glue Schema Registry, a serverless feature of AWS Glue, enables you to validate and control the evolution of streaming data using registered Apache Avro schemas, at no additional charge.
ElasticsearchElasticsearch now supports the ability to reload dictionary files without reindexing your data. This feature also lets you version your dictionary files and update them on your domains, also without having to reindex your data.
Amazon Kinesis Data StreamsLong term retention of streaming data enables you to use the same platform for both real-time and older data retained in Amazon Kinesis Data Streams.
AWS Glue DataBrewAWS Glue DataBrew is a new visual data preparation tool for AWS Glue that helps you clean and normalize data without writing code, reducing the time it takes to prepare data for analytics and machine learning by up to 80% compared to traditional approaches to data preparation.US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Sydney), Asia Pacific (Tokyo)
AthenaAthena engine version 2 includes several performance enhancements and new feature capabilities such as federated queries, schema evolution support, additional geospatial functions, support for reading nested schema to reduce cost, and performance enhancements in JOIN, ORDER BY, and AGGREGATE operations.
AthenaFederated queries in Amazon Athena enable users to run SQL queries across data stored in relational, non-relational, object, and custom data sources.us-east-1, us-west-2, and us-east-2
QuicksightAmazon QuickSight now supports Waterfall charts. Waterfall charts show how any metric is affected positively or negatively by a series of contributing factors. Dashboard authors can create a waterfall chart by choosing this new visual type from the visuals menu.Available in both Standard and Enterprise Edition across all supported regions
QuicksightAmazon QuickSight has ad