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What Should You Know About Graph Database’s Scalability?

Dzone - DevOps

This, on the one hand, is heavily influenced by the sustained rising and popularity of big-data processing frameworks, including but not limited to Hadoop, Spark, and NoSQL databases; on the other hand, as more and more data are to be analyzed in a correlated and multi-dimensional fashion, it's getting difficult to pack all data into one graph on one (..)

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

TechCrunch

.” Coalesce offers tools designed to simplify modeling, cleansing and governance of data primarily in the Snowflake cloud, powered by what Petrossian describes as a “column-aware” architecture that leverages metadata to manage data transformations with an understanding of how the data is related or connected.

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How Industry 4.0 Changes Predictive Maintenance From Mobile Apps And What It Means For The Future ?

OTS Solutions

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. and Big Data Analytics in Predictive Maintenance Industry 4.0 is also enabling the use of big data in predictive maintenance.

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Measurement: What SaaS platform builders need to know to prepare for growth, Part 3

CloudGeometry

Second, there is no one-size-fits-all SaaS architecture (the second principle is a corollary of the first). The challenge is to build common ground between business and architecture so as to translate business assumptions into critical technical solution inputs. Big data has been a game-changer.

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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Natural language analytics and streaming data analytics are emerging technologies that will impact the market. Cloud computing has passed the tipping point, with most organizations comfortable moving critical data and applications to the public cloud. Big Data Technologies and Architectures.

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Software Outsourcing: Why CEOs Love It

Gorilla Logic

Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Skill shortages can delay project kickoffs and delivery.

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More Proof DSB Cloud Computing Conclusions Are On Track

CTOvision

But in May, about two years after MemSQL was founded, Frenkiel and company came down from the Amazon cloud, moving most of their operation onto a fleet of good old fashioned computers they could actually put their hands on. There is special focus on modern cloud computing architectures and data center designs supportive of mission needs.

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