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DuckDB: An Introduction

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction DuckDB is designed to support analytical query workloads, also known as Online analytical processing (OLAP).” In short, […].

OLAP 271
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Comparison between Online Processing Systems: OLTP Vs OLAP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the field of Data Science main types of online processing systems are Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP), which are used in most companies for transaction-oriented applications and analytical work.

OLAP 270
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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

Data outbound Data is often consumed using structured queries for analytical needs. Also, datasets are accessed for ML, data exporting, and publishing needs. This service is the core of this reference architecture on AWS and can address most analytical needs out of the box.

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Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

AWS Big Data

A loading team builds a producer-consumer architecture in Amazon Redshift to process concurrent near real-time publishing of data. This requires a dedicated team of 3–7 members building and publishing refined datasets in Amazon Redshift. The data warehouse is highly business critical with minimal allowable downtime.

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Deploy real-time analytics with StarTree for managed Apache Pinot on AWS

AWS Big Data

Amberdata, a blockchain and crypto market intelligence company, uses StarTree for real-time analytics to improve query performance, reduce SLA times, and lower infrastructure costs. Like Pinot, StarTree addresses the need for a low-latency, high-concurrency, real-time online analytical processing (OLAP) solution.