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Munich Re Launches Enterprise-Wide Data-Driven Platform for Analytics

Alation

A lot of people in our audience are looking at implementing data lakes or are in the middle of big data lake initiatives. I know in February of 2017 Munich Re launched their own innovative platform as a cornerstone for analytics that involved a big data lake and a data catalog.

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Australian data management discovery tour

Sanjeev Mohan

Last week, Privacy Amendment (Notifiable Data Breaches) Act 2017 ([link] came into effect in Australia. However, most data privacy discussions veered towards the EU GDPR ([link] which is now less than 100 days away from enforcement (May 25, 2018). Migrating to the cloud was very high on everyone’s priority.

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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Big data architecture is used to augment different applications, operating alongside or in a discrete fashion with a data warehouse. A big data implementation may even replace a data warehouse entirely with a data lake.

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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?

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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.