Scalegrid

MAY 13, 2020

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JANUARY 16, 2023

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch.

Open Source 343

Open Source Java Operating System Programming 343

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. If the majority of your data is unstructured such as text, images, documents, etc. Classic ETL. Stateless and elastic.

Big Data 40

Big Data Retail Storage Google 40

The Agile Manager

FEBRUARY 27, 2012

The rise of Big Data - the ability to store and analyze large volumes of structured and unstructured, internal and external data - promises to let companies react more nimbly than ever before. A megabyte of cloud-based disk storage is no different from a kilowatt of electricity. Nor is cloud computing.

Ecommerce 45

Ecommerce Social Media Retail Airlines 45