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Data Management on Display at Informatica World 2019

David Menninger's Analyst Perspectives

This year, I attended Informatica World 2019, Informatica's annual user conference. Under that focus, Informatica's conference emphasized capabilities across six areas (all strong areas for Informatica): data integration, data management, data quality & governance, Master Data Management (MDM), data cataloging, and data security.

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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. Azure Synapse. I think this announcement will have a very large and immediate impact.

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A Day in the Life of an Analyst at Gartner IT Symposium XPO 2019 USA – Day 2 Oct 23 2019

Andrew White

A Day in the Life of an Analyst at Gartner IT Symposium XPO 2019 USA – day 2 October 22 2019. 5.10pm Rush back over to the 1-1 area for final 1-1 today… Here is a summary of my 1-1’s today (including Monday’s data): Topic: Data Governance 14. Vision/Data Driven 7. Master Data Management (MDM) 8.

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How Novanta’s CIO mobilized its data-driven transformation

CIO Business Intelligence

My team and I are very proud of our transformation that started in 2019,” she says. When I joined, there was a lot of silo data everywhere throughout the organization, and everyone was doing their own reporting. So in monthly or quarterly combined meetings, there weren’t apples to apples being compared.

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Simplifying data processing at Capitec with Amazon Redshift integration for Apache Spark

AWS Big Data

The data sourcing problem To ensure the reliability of PySpark data pipelines, it’s essential to have consistent record-level data from both dimensional and fact tables stored in the Enterprise Data Warehouse (EDW). These tables are then joined with tables from the Enterprise Data Lake (EDL) at runtime.

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Cloud Data Science News Beta #1

Data Science 101

Azure Synapse Analytics This is the future of data warehousing. It combines data warehousing and data lakes into a simple query interface for a simple and fast analytics service. SQL Server 2019 SQL Server 2019 went Generally Available.

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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. 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.