Category: Analytics

Organizations build and deploy large-scale data platforms like data lakes, data warehouses, and lakehouses to capture and analyze a holistic view of their customer’s journey. The objective of such a data platform is to understand customer behavior patterns that influence satisfaction and drive more engagement. Applications today capture each point of contact with a customer, […]

Amazon Relational Database Service (RDS) helps you easily create, operate, and scale a relational database in the cloud. In January 2020, AWS announced the ability to export snapshots from Amazon RDS for MySQL, Amazon RDS for PostgreSQL, Amazon RDS for MariaDB, Amazon Aurora PostgreSQL, and Amazon Aurora MySQL into Amazon S3 in Apache Parquet format. […]

If you have complex data types such as maps and lists in your Amazon DynamoDB data, refer to Part 2 of this series. Bulk updates to a database can be disruptive and potentially cause downtime, performance impacts to your business processes, or overprovisioning of compute and storage resources. When performing bulk updates, you want to […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. When you deploy your Amazon Elasticsearch Service (Amazon ES) domain to support a production workload, you must choose the type and number of data instances to use, the number of Availability Zones, and whether to use dedicated master instances or […]

This is a guest post by James Byrne, Engineering Leader at Zendesk, focusing on data pipeline development and operations for the Zendesk Explore analytics product, and Giedrius Praspaliauskas, AWS Solutions Architect. Zendesk is a CRM company that builds support, sales, and customer engagement software designed to foster better customer relationships. From large enterprises to startups, […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Kibana is an open-source data visualization and exploration tool. It can be used for log and time-series analytics, application monitoring, and operational intelligence use cases. Kibana also offers powerful, easy-to-use features such as histograms, line graphs, pie charts, heat maps, […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Amazon RDS supports publishing PostgreSQL logs to Amazon CloudWatch for versions 9.6.6 and above. Aurora PostgreSQL supports publishing logs to CloudWatch Logs for versions 9.6.12 and above, and versions 10.7 and above. By live streaming this data from CloudWatch to Amazon Elasticsearch […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Machine-generated data powers solutions and causes problems. It’s indispensable for identifying operational issues in today’s modern software applications, yet you need flexible, scalable tools like Amazon Elasticsearch Service to analyze it in real time. This log data is so valuable […]

As applications evolve to be more scalable for the web, customers are adopting flexible data structures and database engines for their use cases. Using NoSQL data stores has become increasing popular because of NoSQL’s flexible data model for building modern applications. Amazon DynamoDB is a fast and flexible NoSQL database service that can provide consistent […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. If you’re building a data lake in the AWS cloud, you’ll most likely want to have metadata and catalog search capability for the underlying data. We recommend Amazon Elasticsearch Service (Amazon ES) for storing and searching S3 keys, and S3 […]