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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

Data warehouse, also known as a decision support database, refers to a central repository, which holds information derived from one or more data sources, such as transactional systems and relational databases. The data collected in the system may in the form of unstructured, semi-structured, or structured data.

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How to Take Back 40-60% of Your IT Spend by Fixing Your Data

Ontotext

This is the future of modern data and analytics and a critical enabler to getting more value and insight out of your data. In spite of all the activity, the data paradigm hasn’t evolved much. Organizations are still managing data using relational technology invented in the 1970’s.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

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The new challenges of scale: What it takes to go from PB to EB data scale

CIO Business Intelligence

This can be achieved by utilizing dense storage nodes and implementing fault tolerance and resiliency measures for managing such a large amount of data. First and foremost, you need to focus on the scalability of analytics capabilities, while also considering the economics, security, and governance implications. Consider data types.