Category: Learning Levels

Observability data provides near real-time insights into the health and performance of AWS workloads, so that engineers can quickly address production issues and troubleshoot them before widespread customer impact. As AWS workloads grow, observability data has been exploding, which requires flexible big data solutions to handle the throughput of large and unpredictable volumes of observability […]

June 2023: This post was reviewed and updated for accuracy. Delta Lake is an open-source project that helps implement modern data lake architectures commonly built on Amazon S3 or other cloud storages. With Delta Lake, you can achieve ACID transactions, time travel queries, CDC, and other common use cases on the cloud. Delta Lake is […]

June 2023: This post was reviewed and updated with the latest release from AWS Glue Data Catalog. Today, hundreds of thousands of customers use data lakes for analytics and machine learning. However, data engineers have to cleanse and prepare this data before it can be used. The underlying data has to be accurate and recent […]

Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run applications using open-source big data analytics frameworks such as Apache Spark and Hive without configuring, managing, and scaling clusters or servers. You get all the features of the latest open-source frameworks with the performance-optimized […]

Recent advances in ease of use and scalability have made streaming data easier to generate and use for real-time decision-making. Coupled with market forces that have forced businesses to react more quickly to industry changes, more and more organizations today are turning to streaming data to fuel innovation and agility. Amazon Managed Streaming for Apache […]

Amazon Redshift is a fast, fully-managed, petabyte scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Using Amazon Redshift Serverless and Query Editor v2, you can load and query large datasets in just a few clicks and pay only for what you use. The decoupled compute and […]

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse which is being used by tens of thousands of customers to process exabytes of data every day to power their analytics workloads. Amazon Redshift comes with a feature called Amazon Redshift ML which puts the power of machine learning in the hands of every […]

Amazon OpenSearch Service makes it easy for you to perform interactive log analytics, real-time application monitoring, website search, and more. Amazon OpenSearch is an open source, distributed search and analytics suite. Amazon OpenSearch Service offers the latest versions of OpenSearch, support for 19 versions of Elasticsearch (1.5 to 7.10 versions), as well as visualization capabilities […]

Amazon Redshift is a fast, fully managed, petabyte-scale cloud data warehouse that enables you to analyze large datasets using standard SQL. The concurrency scaling feature in Amazon Redshift automatically adds and removes capacity by adding concurrency scaling to handle demands from thousands of concurrent users, thereby providing consistent SLAs for unpredictable and spiky workloads such […]

In this third post of a multi-part series, we explore some of the edge cases in migrating a large data warehouse from Greenplum to Amazon Redshift using AWS Schema Conversion Tool (AWS SCT) and how to handle these challenges. Challenges include how best to use virtual partitioning, edge cases for numeric and character fields, and […]