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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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Top Challenges and Opportunities for Chief Data Officers

Sisense

To help provide guidance for what role a chief data officer should play at a particular organization, Yang Lee and a research team introduced their cubic framework for the chief data officer in their seminal 2014 paper for MIS Quarterly Executive. This is one approach to solving the challenge of data silos.

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Replacing Oracle Discoverer: The Smart Way

Jet Global

While it has many advantages, it’s not built to be a transactional reporting tool for day-to-day ad hoc analysis or easy drilling into data details. Back in 2014, The Lab Consulting wrote in CFO.com about the waste that exists in management reporting. It’s like looking for a needle in a haystack. The problem with lift and shift.

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The Magic of Universal Analytics: Strategy, Tactics, Implementation Tips

Occam's Razor

The other big reason for Universal Analytics is this, the column in the middle: The data is from the Q4 2014 Quarterly Retail E-Commerce Sales from the US Census Bureau. Dimension Widening – hello sweet simple data from spreadsheets, data warehouses/CRM systems! They are: 1. Don't let that freak you out.

Strategy 151
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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

In my experience, hyper-specialization tends to seep into larger organizations in a special way… If a company is say, more than 10 years old, they probably began analytics work with a business intelligence team using a data warehouse. Generalists as an antidote for another typical enterprise anti-pattern: the proliferation of silos.