CIO
JANUARY 19, 2023
As per the recent IDC InfoBrief “The Significance of Open Source Software in the Digital-First Future Enterprise”, open source software (OSS) is an important driver of enterprise digital innovation and provides greater agility, performance and security compared to proprietary software. Learn more about SUSE here.
O'Reilly Media - Data
AUGUST 16, 2018
The deployment of big data tools is being held back by the lack of standards in a number of growth areas. Technologies for streaming, storing, and querying big data have matured to the point where the computer industry can usefully establish standards. The main standard with some applicability to big data is ANSI SQL.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
CIO
JUNE 14, 2023
Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.
CTOvision
JANUARY 13, 2015
Releasing MrGeo helps further the agency’s goal of increasing and streamlining co-creation efforts in software and unclassified data, said Rasmussen. Analysis Big Data CTO DoD and IC Intelligence Community Open Source Cloud Computing NGA' MrGeo is available at: https://github.com/ngageoint/mrgeo.
TechCrunch
AUGUST 24, 2022
In 2020, Chinese startup Zilliz — which builds cloud-native software to process data for AI applications and unstructured data analytics, and is the creator of Milvus , the popular open source vector database for similarity searches — raised $43 million to scale its business and prep the company to make a move into the U.S.
TechCrunch
FEBRUARY 10, 2022
Superconductive — a startup best known for creating and maintaining the Great Expectations open source data quality tool — has raised $40 million in a Series B round of funding. Part of the reason investors have come knocking so soon after the last round is because of the strong traction for its open source tools.
DevOps.com
MARCH 19, 2021
Data engineers are retooling how they create data products, and much of this work revolves around creating data pipelines. DataOps pipelines offer the kind of observability that traditional data integration and ETL processes don’t or can’t. The post Open Source vs. Proprietary DataOps appeared first on DevOps.com.
Expert insights. Personalized for you.
205 
Let's personalize your content