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A Few 2016 Technology Predictions

In(tegrate) the Clouds

I enjoy the end of the year technology predictions, even though it’s hard to argue with this tweet from Merv Adrian: By 2016, 99% of readers will be utterly sick of predictions. 2016 will be the year of the data lake. In 2016, which software company will be the biggest game-changer for the long term?

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8 Ways to Fine-tune your SQL Queries (for production databases)

Sisense

In organizations that operate without a data warehouse or separate analytical database for reporting, the only source of the latest and up-to-date data may be in the live production database. For example, let’s assume 200 sales have been made in the year 2016, and we want to query for the number of sales per customer in 2016.

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Powering the future: The synergy of IBM and AWS partnership

IBM Big Data Hub

We are in the midst of an AI revolution where organizations are seeking to leverage data for business transformation and harness generative AI and foundation models to boost productivity, innovate, enhance customer experiences, and gain a competitive edge. Watsonx.data on AWS: Imagine having the power of data at your fingertips.

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When Data Warehousing Met the Events Industry

BizAcuity

billion US dollars in 2016, up from 29.3 The solution here is to consolidate all of this data, gathered from different points at different times along the course of the event and store it in one consolidated form in a Data Warehouse. One of the many things that data warehouses allow is the chronological sifting of data.

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

Alation

March 2015: Alation emerges from stealth mode to launch the first official data catalog to empower people in enterprises to easily find, understand, govern and use data for informed decision making that supports the business. April 2016: Tesco Group becomes first customer outside North America. What do we mean by everything ?

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Cloud PC preps Grant Thornton for hybrid future

CIO Business Intelligence

Grant Thornton’s partnership with Microsoft began when the firm scuttled its Mitel VoIP phone systems in favor of Skype for Business in 2016, just as Swift took over as CIO. Two months ago, the firm completed its data warehouse migration to Azure, along with a portion on Amazon Web Services. Navigating the pandemic.

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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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