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8 data strategy mistakes to avoid

CIO Business Intelligence

“Similar to disaster recovery, business continuity, and information security, data strategy needs to be well thought out and defined to inform the rest, while providing a foundation from which to build a strong business.” Overlooking these data resources is a big mistake. What are the goals for leveraging unstructured data?”

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Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

Data cleaning is a vital data skill as data comes in imperfect and messy types. Raw data that has not been cleared is known as unstructured data; this includes chat logs, pictures, and PDF files. This is a vital disparity between data warehouses and data lakes.

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3 Key Factors Influencing Data Center Modernization

CDW Research Hub

Converged technologies that improve the efficiency of your data center can also yield a major reduction of your operational costs. Storage, physical space and the rise of unstructured data. The digital world is no longer a trend–it is the current landscape due to the rise of unstructured data.

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11 dark secrets of data management

CIO Business Intelligence

And then there is the rise of privacy concerns around so much data being collected in the first place. Following are some of the dark secrets that make data management such a challenge for so many enterprises. Unstructured data is difficult to analyze.

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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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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.

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Quantitative and Qualitative Data: A Vital Combination

Sisense

When these systems connect with external groups — customers, subscribers, shareholders, stakeholders — even more data is generated, collected, and exchanged. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company. Making sense of and deriving patterns from it calls for newer, more advanced technology.