Remove 2019 Remove Data Lake Remove Data Warehouse Remove IoT
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Data Science News from Microsoft Ignite 2019

Data Science 101

Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Synapse allows one to use SQL to query petabytes of data, both relational and non-relational, with amazing speed. Here they are in my order of importance (based upon my opinion). Azure Synapse.

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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. The most common big data use case is data warehouse optimization. Big data architecture is used to augment different applications, operating alongside or in a discrete fashion with a data warehouse.

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

BizAcuity

2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s. Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store.

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty. And more recently, we have also seen innovation with IOT (Internet Of Things). In data-driven organizations, data is flowing. But I’ll give an example in favour of each.

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