AWS Big Data Blog
Tag: AWS Analytics
Simplify and optimize Python package management for AWS Glue PySpark jobs with AWS CodeArtifact
Data engineers use various Python packages to meet their data processing requirements while building data pipelines with AWS Glue PySpark Jobs. Languages like Python and Scala are commonly used in data pipeline development. Developers can take advantage of their open-source packages or even customize their own to make it easier and faster to perform use […]
Choose the right storage tier for your needs in HAQM OpenSearch Service
HAQM OpenSearch Service enables organizations to perform interactive log analytics, real-time application monitoring, website search, and more. OpenSearch is an open-source, distributed search and analytics suite derived from Elasticsearch. HAQM OpenSearch Service offers the latest versions of OpenSearch, support for 19 versions of Elasticsearch (1.5 to 7.10 versions), and visualization capabilities powered by OpenSearch Dashboards […]
Accelerate self-service analytics with HAQM Redshift Query Editor V2
August 2023: This post was reviewed and updated with new features. HAQM Redshift is a fast, fully managed cloud data warehouse. Tens of thousands of customers use HAQM Redshift as their analytics platform. Users such as data analysts, database developers, and data scientists use SQL to analyze their data in HAQM Redshift data warehouses. HAQM […]
Build an AWS Well-Architected environment with the Analytics Lens
Building a modern data platform on AWS enables you to collect data of all types, store it in a central, secure repository, and analyze it with purpose-built tools. Yet you may be unsure of how to get started and the impact of certain design decisions. To address the need to provide advice tailored to specific technology and application domains, AWS added the concept of well-architected lenses 2017. AWS now is happy to announce the Analytics Lens for the AWS Well-Architected Framework. This post provides an introduction of its purpose, topics covered, common scenarios, and services included.
How to migrate a large data warehouse from IBM Netezza to HAQM Redshift with no downtime
In this article, we explain how this customer performed a large-scale data warehouse migration from IBM Netezza to HAQM Redshift without downtime, by following a thoroughly planned migration process, and leveraging AWS Schema Conversion Tool (SCT) and HAQM Redshift best practices.