Tag: Migration

HAQM AppFlow bridges the gap between Google applications and HAQM Redshift, empowering organizations to unlock deeper insights and drive data-informed decisions. In this post, we show you how to establish the data ingestion pipeline between Google Analytics 4, Google Sheets, and an HAQM Redshift Serverless workgroup.

OpenSearch is an open source, distributed search engine suitable for a wide array of use-cases such as ecommerce search, enterprise search (content management search, document search, knowledge management search, and so on), site search, application search, and semantic search. It’s also an analytics suite that you can use to perform interactive log analytics, real-time application […]

This is a guest post co-authored by Mahesh Vandi Chalil, Chief Technology Officer of BookMyShow. BookMyShow (BMS), a leading entertainment company in India, provides an online ticketing platform for movies, plays, concerts, and sporting events. Selling up to 200 million tickets on an annual run rate basis (pre-COVID) to customers in India, Sri Lanka, Singapore, […]

Have you ever been faced with many different data sources in different formats that need to be analyzed together to drive value and insights?  You need to be able to query, analyze, process, and visualize all your data as one canonical dataset, regardless of the data source or original format. In this post, I walk […]

Although it’s common for HAQM EMR customers to process data directly in HAQM S3, there are occasions where you might want to copy data from S3 to the Hadoop Distributed File System (HDFS) on your HAQM EMR cluster. Additionally, you might have a use case that requires moving large amounts of data between buckets or regions. In these use cases, large datasets are too big for a simple copy operation.

Starting with HAQM EMR 5.2.0, you have the option to run Apache HBase on HAQM S3. Running HBase on S3 gives you several added benefits, including lower costs, data durability, and easier scalability. HBase provides several options that you can use to migrate and back up HBase tables. The steps to migrate to HBase on […]

Many companies consider migrating from relational databases like MySQL to HAQM DynamoDB, a fully managed, fast, highly scalable, and flexible NoSQL database service. For example, DynamoDB can increase or decrease capacity based on traffic, in accordance with business needs. The total cost of servicing can be optimized more easily than for the typical media-based RDBMS. […]

July 2024: This post was reviewed and updated for accuracy. February 9, 2024: HAQM Kinesis Data Firehose has been renamed to HAQM Data Firehose. Read the AWS What’s New post to learn more. Most systems use Java Script Object Notation (JSON) to log event information. Although it’s efficient and flexible, deriving information from JSON is […]

For customers who use Hive external tables on HAQM EMR, or any flavor of Hadoop, a key challenge is how to effectively migrate an existing Hive metastore to HAQM Athena, an interactive query service that directly analyzes data stored in HAQM S3. With Athena, there are no clusters to manage and tune, and no infrastructure to […]

Organizations often grow organically—and so does their data in individual silos. Such systems are often powered by traditional RDBMS systems and they grow orthogonally in size and features. To gain intelligence across heterogeneous data sources, you have to join the data sets. However, this imposes new challenges, as joining data over dblinks or into a […]