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My introduction and my love for DATA

Sanjeev Mohan

I have been working as a research analyst responsible for the Big Data topics for the last year. I plan to regularly post my blogs here. So, my goal is to write about all things data. However, for my first blog, I thought of writing a paean to my admiration for data. We are done proving the value of the data lakes.

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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data. Only three years later, that number more than tripled to 59% in 2018. Written by Steve Wooledge, VP Marketing at Arcadia Data.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

And how this transformation will impact businesses in the short and long run is the main discussion in this blog. Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store. Microsoft starts to offer Azure IoT Central and IoT Edge.

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Big Data Fabric Weaves Together Automation, Scalability, and Intelligence

Cloudera

Forrester describes Big Data Fabric as, “A unified, trusted, and comprehensive view of business data produced by orchestrating data sources automatically, intelligently, and securely, then preparing and processing them in big data platforms such as Hadoop and Apache Spark, data lakes, in-memory, and NoSQL.”.

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Introducing Agile Data Governance – Alation TrustCheck

Alation

. ; there has to be a business context, and the increasing realization of this context explains the rise of information stewardship applications.” – May 2018 Gartner Market Guide for Information Stewardship Applications. The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data.