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8 data strategy mistakes to avoid

CIO Business Intelligence

At Vanguard, “data and analytics enable us to fulfill on our mission to provide investors with the best chance for investment success by enabling us to glean actionable insights to drive personalized client experiences, scale advice, optimize investment and business operations, and reduce risk,” Swann says.

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3 Key Factors Influencing Data Center Modernization

CDW Research Hub

For organizations trying to get a better handle on their data so they can see how it affects their business outcomes, the digital age has accelerated the need for modernizing the data centers. IT is constantly under immense pressure to improve, scale, consolidate, and optimize applications to meet the needs of their end-users.

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Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

Many people are confused about these two, but the only similarity between them is the high-level principle of data storing. It is vital to know the difference between the two as they serve different principles and need diverse sets of eyes to be adequately optimized. This is a vital disparity between data warehouses and data lakes.

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Cloudera Data Warehouse – A Partner Perspective

Cloudera

In addition, Arcadia Data is one of the first partners who have certified on Cloudera 6, which will open up a wealth of new possibilities for discovery & operational data warehouses where the combination of structured SQL-based queries with Analytic Search on (often fast moving) unstructured data can be extremely valuable.

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Quantitative and Qualitative Data: A Vital Combination

Sisense

And, as industrial, business, domestic, and personal Internet of Things devices become increasingly intelligent, they communicate with each other and share data to help calibrate performance and maximize efficiency. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company.

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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

Stream ingestion – The stream ingestion layer is responsible for ingesting data into the stream storage layer. Using a data stream in the middle provides the advantage of using the time series data in other processes and solutions at the same time.

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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

New Avenues of Data Discovery. New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. NLP may also improve data collection by enabling AI to scan through and organize text-heavy, unstructured data.