AWS Big Data

JUNE 21, 2023

A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale. Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. To house our data, we need to define a data model.

Data Warehouse 78

Data Warehouse Data Lake OLAP Cost-Benefit 78

AWS Big Data

OCTOBER 18, 2023

Modern analytics is much wider than SQL-based data warehousing. With Amazon Redshift, you can build lake house architectures and perform any kind of analytics, such as interactive analytics , operational analytics , big data processing , visual data preparation , predictive analytics, machine learning , and more.

Analytics 95

Analytics Data Warehouse Testing Dashboards 95

AWS Big Data

MARCH 20, 2023

The data from the S3 data lake is used for batch processing and analytics through Amazon EMR and Amazon Redshift. Druid hosted on Amazon Elastic Compute Cloud (Amazon EC2) integrates with the Kinesis data stream for streaming ingestion and allows users to run slice-and-dice OLAP queries.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

CIO Business Intelligence

JANUARY 20, 2023

BI aims to deliver straightforward snapshots of the current state of affairs to business managers. and prescriptive (what should the organization be doing to create better outcomes?). This gets to the heart of the question of who business intelligence is for.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

IBM Big Data Hub

SEPTEMBER 25, 2023

The technical value of Presto at Uber Analyzing complex data types with Presto As a digital native company, Uber continues to expand its use cases for Presto. For traditional analytics, they are bringing data discipline to their use of Presto. They ingest data in snapshots from operational systems.

OLAP 94

OLAP Data Lake Data-driven Snapshot 94