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The Significance of Open Source Software in the Digital-First Future Enterprise

CIO

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.

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The top 15 big data and data analytics certifications

CIO

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.

Big Data 190
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It's time to establish big data standards

O'Reilly Media - Data

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.

Big Data 176
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NGA and DigitalGlobe Release Powerful Application To Community Under Open Source License

CTOvision

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.

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Zilliz, the startup behind the Milvus open source vector database for AI apps, raises $60M, relocates to SF

TechCrunch

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.

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Open Source vs. Proprietary DataOps

DevOps.com

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.

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What’s driving open source software in 2019

O'Reilly Media - Ideas

Proposals for the O’Reilly Open Source Software Conference emphasize cloud native, AI/ML, and data tools and topics. DevOps, cloud, big data, artificial intelligence (AI), and machine learning (ML)—is encoded in the record of speaker proposals from the O’Reilly Open Source Software Conference (OSCON).