Big data analytics
Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as hidden patterns, unknown correlations, market trends and customer preferences -- that can help organizations make informed business decisions.. See complete definition.
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Free Guide: 5 Data Science Tools to Consider
With the right data science tools, you can gain powerful insight out of the ever-growing pools of corporate data. Learn why data science experts are using Python, R, Jupyter Notebook, Tableau, and Keras.
Big data analytics News
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December 19, 2019
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Dec'19
2019 BI trends included reality check for AI, consolidation
AI features in BI products improved in 2019, but not at the pace predicted before the year began. Instead, advancement was incremental and consolidation was a dominant theme.
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November 26, 2019
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Nov'19
Startup Sisu's data analytics tool aims to answer, 'Why?'
With the ability to answer, 'Why?' at the core of its diagnostic tool, startup analytics vendor Sisu recently entered the market with aims of competing against established vendors.
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November 07, 2019
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Nov'19
Evolution of analytics marked by wider dissemination of data
With BI platforms getting easier to use by the year and enabling more self-service users in process, the value of analytics is being realized by a growing audience.
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November 04, 2019
04
Nov'19
Microsoft launches Azure Synapse Analytics for the cloud
New Microsoft Azure analytics service provides cloud BI and machine learning, enabling users to do analytics on data in various sources, including data warehouses and data lakes.
Big data analytics Get Started
Bring yourself up to speed with our introductory content
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Data scientist vs. data analyst: What's the difference?
Data scientists and data analysts have a lot of crossover in their roles, but they're certainly not the same. Here's a look at some key differences in the positions. Continue Reading
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chief data officer (CDO)
A chief data officer (CDO) is a C-level executive who is responsible for an organization's data use and data governance. Continue Reading
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Big data
Big data is a combination of structured, semistructured and unstructured data collected by organizations that can be mined for information and used in machine learning projects, predictive modeling and other advanced analytics applications. Continue Reading
Evaluate Big data analytics Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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The most in-demand data science skills you need
With the need for data scientists increasing, skills associated with the role are also in demand. Check out these top skills for one of the hottest jobs. Continue Reading
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Automated tools broaden the future scope of data science
Automated data science tools may make their way into the data science process, but are unlikely to ever be able to do everything human data scientists do, experts say. Continue Reading
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Data science storytelling emerges as top analytics skill
Storytelling in data science is emerging as a critical skill to have in analytics. Without it, data-driven insights have a tendency to wither on the vine. Continue Reading
Manage Big data analytics
Learn to apply best practices and optimize your operations.
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How to enhance your data science storytelling
How do you create substantive, compelling stories for business executives from cold, hard numerical data? Experts share their tips on how to improve your data storytelling skills. Continue Reading
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Data catalog best practices rely on teamwork, governance, tools
This handbook provides advice on creating data catalogs to help data analysts and other users find information in corporate systems, plus insight on data catalog trends. Continue Reading
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Data catalog management for analytics fraught with unique demands
Data catalogs for analytics applications demand detailed assessment of user needs, cross-functional teams, ready access, continuous improvement and a self-sustaining system. Continue Reading
Problem Solve Big data analytics Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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7 steps to a successful data lake implementation
Flooding a Hadoop cluster with data that isn't well organized and managed can stymie analytics efforts. Take these steps to help make your data lake accessible and usable. Continue Reading
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What data management challenges do analytics programs face?
Expert Anne Marie Smith shares five reasons why organizations' analytics programs might fail and how a data management framework and other programs can help. Continue Reading
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Kubernetes container orchestration gets big data star turn
The new thing in big data is Kubernetes container orchestration. While it's still early, there are signs of activity, which are cited in this edition of the Talking Data podcast. Continue Reading