Remove 2017 Remove Business Intelligence Remove Data Lake Remove Visualization
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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Growth factors and business priority are ever changing. 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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Two Acquisitions in Two Weeks!

Rita Sallam

A BeyondCore business person or citizen data scientist would ingest data into the platform and define an outcome variable. The user explores data via visualizations and natural language generated narration. Why BeyondCore is Disruptive.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Most of the data management moved to back-end servers, e.g., databases. So we had three tiers providing a separation of concerns: presentation, logic, data. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. in lieu of simply landing in a data lake.

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

BizAcuity

Microsoft also releases Power BI, a data visualization and business intelligence tool. 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.