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What is data analytics? Analyzing and managing data for decisions

CIO

Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. In business analytics, this is the purview of business intelligence (BI).

Analytics 338
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Big Data Means Big Headaches For CIOs

The Accidental Successful CIO

One of the things that makes having the CIO job different today from how it was in the past, besides the growing awareness of the importance of information technology, is the arrival of so-called “big data” We’re talking about terabytes or even petabytes of data and all of the headaches that come along with it.

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Doing Business in a Big Data World

Strategy Driven

The Internet and cloud computing have revolutionized the nature of data capture and storage, tempting many companies to adopt a new 'Big Data' philosophy: collect all the data you can; all the time. Big Data is Not Just More Data : That’s because the nature of the data we can now collect has changed.

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Fundamentals of Data Engineering

Xebia

. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink. – Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering.

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How to build analytic products in an age when data privacy has become critical

O'Reilly Media - Data

Once we have data securely in place, we proceed to utilize it in two main ways: (1) to make better decisions (BI) and (2) to enable some form of automation (ML). Business intelligence and analytics. I believe that the data science and big data communities are well-positioned to contribute to both automation and decentralization.

Analytics 131
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DataOps: Adjusting DevOps for Analytics Product Development

Altexsoft

New approaches arise to speed up the transformation of raw data into useful insights. Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. The core difference lies in the point where raw data is transformed.

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Making Sense of IoT Platforms: AWS vs Azure vs Google vs IBM vs Cisco

Altexsoft

The growth in connected devices over the 2015-2025 decade. Day by day, the IoT sees wider adoption, opening new opportunities and driving more value to both businesses and their clients. These hardware components cache and preprocess real-time data, reducing the burden on central storages and main processors.

IoT 141