Remove 2015 Remove Big Data Remove Business Intelligence Remove IoT
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Pentaho 5.3 Continues To Deliver On Big Data Analytics With Scale Including AWS Redshift and Impala

CTOvision

From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Opens Data Refinery to Amazon Redshift and Cloudera Impala; Pushes the Limits of Analytics Through Blended, Governed Data Delivery On Demand. Big Data Analytics with Cloudera Impala. “As

Big Data 109
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Transforming NetOps with Big Data

Kentik

As we discussed in an earlier post, From NetFlow Analysis to Business Outcome , a Big Data approach to collecting, storing, accessing, and analyzing management data enables the level of collaboration that’s required for an organization to exhibit the key characteristics of a digital business.

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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

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Fundamentals of Data Engineering

Xebia

. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink. – Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering.

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Making Sense of IoT Platforms: AWS vs Azure vs Google vs IBM vs Cisco

Altexsoft

For the most part, they belong to the Internet of Things (IoT), or gadgets capable of communicating and sharing data without human interaction. The number of active IoT connections is expected to double by 2025, jumping from the current 9.9 The growth in connected devices over the 2015-2025 decade. Source: IoT Analytics.

IoT 141
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Top Data Science experts you should know about

Apiumhub

Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities. Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. Ronald van Loon. Kirk Borne. Marcus Borba. Cindi Howson.