Remove 2023 Remove Data Lake Remove Data Processing Remove Data Warehouse
article thumbnail

Accelerate your data warehouse migration to Amazon Redshift – Part 7

AWS Big Data

With Amazon Redshift, you can use standard SQL to query data across your data warehouse, operational data stores, and data lake. Migrating a data warehouse can be complex. You have to migrate terabytes or petabytes of data from your legacy system while not disrupting your production workload.

article thumbnail

Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 105
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Petabyte-scale log analytics with Amazon S3, Amazon OpenSearch Service, and Amazon OpenSearch Ingestion

AWS Big Data

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 116
article thumbnail

Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

AWS Big Data

Typically, you have multiple accounts to manage and run resources for your data pipeline. Looking at the Skewness Job per Job visualization, there was spike on November 1, 2023. Visualize and analyze with AWS Glue job observability metrics Let’s use the dashboard to make AWS Glue usage more performant. Let’s drill down into details.

Metrics 108
article thumbnail

Preparing the foundations for Generative AI

CIO Business Intelligence

Data also needs to be sorted, annotated and labelled in order to meet the requirements of generative AI. No wonder CIO’s 2023 AI Priorities study found that data integration was the number one concern for IT leaders around generative AI integration, above security and privacy and the user experience.

article thumbnail

Exploring the AI and data capabilities of watsonx

IBM Big Data Hub

It is supported by querying, governance, and open data formats to access and share data across the hybrid cloud. Through workload optimization across multiple query engines and storage tiers, organizations can reduce data warehouse costs by up to 50 percent.

article thumbnail

Real-time streaming data top picks you cannot miss at AWS re:Invent 2023

AWS Big Data

Save the date: AWS re:Invent 2023 is happening from November 27 to December 1 in Las Vegas, and you cannot miss it. In today’s data-driven landscape, the quality of data is the foundation upon which the success of organizations and innovations stands. Reserve your seat now! Your questions are welcome and encouraged.