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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 304
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Everstream, which applies big data to supply chain management, raises $50M

TechCrunch

Supply chain resilience is now a key priority in the enterprise, with 43% of organizations planning to increase investment there. Gerdeman claims that what helped Everstream stay ahead of the competition was its “big data” approach. Still, not all firms have been so lucky.

Big Data 227
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Code analysis tool AppMap wants to become Google Maps for developers

TechCrunch

The 10/10-rated Log4Shell flaw in Log4j, an open source logging software that’s found practically everywhere, from online games to enterprise software and cloud data centers, claimed numerous victims from Adobe and Cloudflare to Twitter and Minecraft due to its ubiquitous presence.

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Best Big Data Analytics Tools & Software for 2023

Openxcell

All this raw information, patterns and details is collectively called Big Data. Big Data analytics,on the other hand, refers to using this huge amount of data to make informed business decisions. Let us have a look at Big Data Analytics more in detail. What is Big Data Analytics?

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Coalesce lands fresh capital to transform data at ‘enterprise scale’

TechCrunch

Coalesce is a startup that offers data transformation tools geared mainly toward enterprise customers. Petrossian met Coalesce’s other co-founder, Satish Jayanthi, at WhereScape, where the two were responsible for solving data warehouse problems for large organizations. (In

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data 315
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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 123