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The Analytics Journey: Competing on Data and Analytics in 2017

We’re entering an era where organizations are looking to move beyond the traditional data warehouse. But the data warehouse is not going away just yet. Far from it. Data warehouses will remain an indispensable part of the analytics toolbox for a long time to come—but they won’t stand alone.

When I talk to customers, most tell me they’re planning to modernize their analytics in terms of: Augmenting the data warehouse with cloud data warehouses such as Amazon Redshift, Microsoft Azure SQ Data Warehouse, Snowflake and others. Augmenting the data warehouse with data lakes and business self-service. Augmenting the data warehouse with NoSQL, columnar and other types of specialized stores. Upgrading to real time and streaming. Adding predictive analytics, machine learning, deep learning, etc.

Source: business2community.com
Author: Roger Nolan

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