Remove 2017 Remove Data Analytics Remove Data Lake Remove IoT
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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Data analytics priorities have shifted this year. 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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Havmor’s VP IT Dhaval Mankad on ‘melting’ hurdles with a scoop of digital innovation

CIO Business Intelligence

My prominent achievements include managing the intricate implementation of GST and its setup in L&T in 2017 and at Havmor, where I recently completed 5 years, the SAP S4 HANA Greenfield implementation. How is Havmor leveraging emerging technologies such as cloud, internet of things (IoT), and AI?

IT 98
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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store. 2017: AWS releases Translate and Transcribe, both AI tools. 2018: IoT and edge computing open up new opportunities for organizations. Google announces Cloud IoT.