Remove Data Lakes Remove Data Preparation Remove Demo
article thumbnail

An integrated experience for all your data and AI with Amazon SageMaker Unified Studio (preview)

Flipboard

Many of these applications are complex to build because they require collaboration across teams and the integration of data, tools, and services. Data engineers use data warehouses, data lakes, and analytics tools to load, transform, clean, and aggregate data. Big Data Architect. Choose Continue.

SQL 135
article thumbnail

How OLAP and AI can enable better business

IBM Journey to AI blog

Increased operational efficiency benefits Reduced data preparation time : OLAP data preparation capabilities streamline data analysis processes, saving time and resources. IBM watsonx.data is the next generation OLAP system that can help you make the most of your data.

professionals

Sign Up for our Newsletter

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

article thumbnail

Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

Flipboard

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and ML to deliver the best price-performance at any scale. For Prepare template , select Template is ready. Enter a stack name, such as Demo-Redshift.

ML 123
article thumbnail

Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning Blog

Interact with several demos that feature new applications, including a competition that involves using generative AI tech to pilot a drone around an obstacle course. Join this chalk talk for a deep dive on FM customizations through an interactive demo. Generative AI is at the heart of the AWS Village this year. Reserve your seat now!

AWS 139
article thumbnail

Modern Data Management Essentials: Exploring Data Fabric

Precisely

Significantly improves data governance and security through a unified framework for managing data policies, compliance, and quality across all data points. With its business-friendly user experience, this innovative solution ensures data accuracy, consistency, and context, allowing you to automate and accelerate decision-making.

article thumbnail

Tackling AI’s data challenges with IBM databases on AWS

IBM Journey to AI blog

  Request a live demo or start a proof of concept with Amazon RDS for Db2 Db2 Warehouse SaaS on AWS The cloud-native Db2 Warehouse fulfills your price and performance objectives for mission-critical operational analytics, business intelligence (BI) and mixed workloads.

AWS 93
article thumbnail

Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests

AWS Machine Learning Blog

Data preparation Before creating a knowledge base using Knowledge Bases for Amazon Bedrock, it’s essential to prepare the data to augment the FM in a RAG implementation. For this example, we created a bucket with versioning enabled with the name bedrock-kb-demo-gdpr.

AWS 136