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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

However, big data often encapsulates using constantly growing data sets to determine business intelligence objectives, such as when to expand into a new market, which product might perform overseas, and which regions to expand into. How Does Big Data Architecture Fit with a Translation Company?

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Data Strategy in a Working from Home Climate

Peter James Thomas

Here and now, in late March 2020, many of us are adjusting to working from home for the first time on an extended basis [2]. In my last article, Data Strategy Creation – A Roadmap , I hopefully gave some sense of the complexities involved in developing a commercially focussed Data Strategy.

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The Future Is Hybrid Data, Embrace It

CIO Business Intelligence

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 billion in 2020? Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5

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Make An Impact: The Data Catalog is a 1980’s Solution for 2020’s Problems

TDAN

Remember the Sears catalog? Hundreds of pages of clothes quickly flipped past to get to the toys! Who didn’t spend countless hours trying to find the perfect suggested gift for your next birthday or holiday? In an Amazon and eBay world, thinking about old-school catalogs seems so quaint. Opening a paper volume to manually flip […].

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Database Administration Impacted by the Connected Economy

TDAN

According to several different analysts, the number of connected objects by 2020 could be as low as 26 billion or as high as 50 billion. Before the end of the decade, the number of connected objects is projected to expand greatly. But even the low end of that range is quite large. Indeed, connectedness is […].

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Enterprise Analytics: Key Challenges & Strategies

Alation

Data leaders cite an analytics strategy as a key driver for success. According to SAS Insights , enterprises need a data analytics strategy to: Develop a big-picture view of an organization’s data landscape (which can help reduce processing and storage costs). Evaluate and monitor data quality.