Remove Big Data Remove Data Warehouse Remove OLAP Remove Snapshot
article thumbnail

Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT

AWS Big Data

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Modern analytics is much wider than SQL-based data warehousing. You can get faster insights without spending valuable time managing your data warehouse.

article thumbnail

What is business intelligence? Transforming data into business insights

CIO Business Intelligence

Improved employee satisfaction: Providing business users access to data without having to contact analysts or IT can reduce friction, increase productivity, and facilitate faster results. BI aims to deliver straightforward snapshots of the current state of affairs to business managers.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. These types of queries are suited for a data warehouse. Amazon Redshift is fully managed, scalable, cloud data warehouse. This dimensional model will be built in Amazon Redshift.

article thumbnail

Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

They set up a couple of clusters and began processing queries at a much faster speed than anything they had experienced with Apache Hive, a distributed data warehouse system, on their data lake. For traditional analytics, they are bringing data discipline to their use of Presto. It lands as raw data in HDFS.

OLAP 93