Remove Dashboards Remove Data Analytics Remove Data Warehouse
article thumbnail

Recap of Amazon Redshift key product announcements in 2024

AWS Big Data

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Industry-leading price-performance Amazon Redshift offers up to three times better price-performance than alternative cloud data warehouses.

article thumbnail

Domo Addresses Data Products and Agentic AI

David Menninger's Analyst Perspectives

In that former role, James identified an opportunity to create a business intelligence platform designed to better enable CEOs and other senior executives to access enterprise data directly rather than relying on reports and dashboards created for them by data and analytics specialists.

Metrics 130
Insiders

Sign Up for our Newsletter

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

article thumbnail

Empower financial analytics by creating structured knowledge bases using Amazon Bedrock and Amazon Redshift

AWS Big Data

Now with Amazon Bedrock Knowledge Bases integration with structured data, you can use simple, natural language prompts to query complex financial datasets. Developers can rapidly implement sophisticated data querying features without complex codingjust connect to the API endpoints and let users explore financial data using plain English.

article thumbnail

Simplify your query performance diagnostics in Amazon Redshift with Query profiler

AWS Big Data

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that lets you analyze your data at scale. Amazon Redshift Serverless lets you access and analyze data without the usual configurations of a provisioned data warehouse. Choose a query to view it in Query profiler.

article thumbnail

Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

AWS Big Data

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis.

article thumbnail

Accelerate analytics and AI innovation with the next generation of Amazon SageMaker

AWS Big Data

At AWS re:Invent 2024, we announced the next generation of Amazon SageMaker , the center for all your data, analytics, and AI. Unified access to your data is provided by Amazon SageMaker Lakehouse , a unified, open, and secure data lakehouse built on Apache Iceberg open standards.

Analytics 113
article thumbnail

Looker Simplifies Business Intelligence in the Cloud

David Menninger's Analyst Perspectives

Organizations face various challenges with analytics and business intelligence processes, including data curation and modeling across disparate sources and data warehouses, maintaining data quality and ensuring security and governance.