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Navigating Data Entities, BYOD, and Data Lakes in Microsoft Dynamics

Jet Global

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. The SQL query language used to extract data for reporting could also potentially be used to insert, update, or delete records from the database.

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10 Years Later: Who’s the GOAT of Data Catalogs?

Alation

December 2012: Alation forms and goes to work creating the first enterprise data catalog. Later, in its inaugural report on data catalogs, Forrester Research recognizes that “Alation started the MLDC trend.”. May 2016: Alation named a Gartner Cool Vendor in their Data Integration and Data Quality, 2016 report.

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The change management Informatica needed to overhaul its business model

CIO Business Intelligence

We built that end-to-end data model and process from scratch while we ran the old business. We still operated our core license and maintenance business, but we changed everything, including CRM, revenue recognition, reporting, and customer success to support the new cloud business operating model. Today, we’re a $1.6

Modeling 105
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Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. For more information, see ElectricityLoadDiagrams20112014 Data Set (Dua, D. and Karra Taniskidou, E.

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A New Market Is Born: The Data Catalog Market Study

Alation

What is unique about this report is that it is based on thousands of end-users who were surveyed as part of Dresner Advisory’s Wisdom of Crowds 2017. Governance and Collaboration Features Drive Data Catalog Selection. The report provides insights into deployment trends and attitudes towards data catalogs in the BI community.

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New Thinking, Old Thinking and a Fairytale

Peter James Thomas

© Scott Adams (2017) – dilbert.com. In 2017, a survey estimated that 68 percent of American offices had low or no separation between workers. An obvious parallel in my world is to consider another business activity that reached peak popularity in the 2000s, Data Warehouse programmes [4]. – Gartner 2007.

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What is Self-Serve Data Preparation and How Can It Support Business Users?

Smarten

In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to data warehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.

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