5 Things You Need to Know about Big Data - Mar 16, 2018.
We take a look at five things you need to know about Big Data.
3Vs of Big Data, Big Data, Careers, Education, Industry
- Exclusive Interview: Doug Laney on Big Data and Infonomics - Jan 25, 2018.
We discuss 3Vs of Big Data; Infonomics and many aspects of monetizing information including promising analytics methods, successful companies, main challenges; Information marketplaces and why data ownership concept is misguided, and more.
3Vs of Big Data, Big Data, Doug Laney, Infonomics, Marketplace, Privacy
Must-Know: What are common data quality issues for Big Data and how to handle them? - May 16, 2017.
Let's have a look at common quality issues facing Big Data in terms of the key characteristics of Big Data – Volume, Velocity, Variety, Veracity, and Value.
3Vs of Big Data, Big Data, Data Quality, Interview Questions
The 42 V’s of Big Data and Data Science - Apr 7, 2017.
It's 2017 now, and we now operate in an ever more sophisticated world of analytics. To keep up with the times, we present our updated 2017 list: The 42 V's of Big Data and Data Science.
3Vs of Big Data, Humor
17 More Must-Know Data Science Interview Questions and Answers, Part 3 - Mar 15, 2017.
The third and final part of 17 new must-know Data Science interview questions and answers covers A/B testing, data visualization, Twitter influence evaluation, and Big Data quality.
Pages: 1 2
3Vs of Big Data, A/B Testing, Big Data, Data Quality, Data Science, Data Visualization, Influencers, Interview Questions, Statistics, Twitter
So What is Big Data? - Feb 9, 2017.
We examine what experts say about Big Data – is it like teenage sex? Is it more than just a large and complex collection of data? And how many Vs are there?
3Vs of Big Data, Big Data, Forrester, Gartner, IBM, McKinsey, O'Reilly
- Data & Analytics Festival, Las Vegas – Catch The Early Bird - Nov 15, 2016.
2 great Las Vegas Summits: Big Data Innovation - Learn how to build scalable architecture for an effective data strategy; Business Analytics Innovation - learn how the most innovative companies communicate insight, and much more. Early Bird rates end Nov 25.
3Vs of Big Data, Big Data, IE Group, Innovation, Las Vegas, NV
- Big Data Key Terms, Explained - Aug 11, 2016.
Just getting started with Big Data, or looking to iron out the wrinkles in your current understanding? Check out these 20 Big Data-related terms and their concise definitions.
Pages: 1 2
3Vs of Big Data, Apache Spark, Big Data, Business Intelligence, Cloud Computing, Data Warehouse, Explained, Hadoop, Key Terms, Predictive Analytics
- Big Data Bootcamp, Austin, April 8-10 - Mar 16, 2016.
This 3 day extensive Bootcamp provides a fast paced, vendor agnostic, technical overview of the Big Data landscape. No prior knowledge of databases or programming is assumed. Use code KDNUGGETS to save.
3Vs of Big Data, Austin, Bootcamp, Global Big Data Conference, TX
- Big Data is Crowdledge, not 3V - Dec 2, 2015.
Crowdledge is defined as the knowledge that [weakly] emerges – and is, therefore, unexpected – from Big Data analysis of individuals’ digital footprints spontaneously left in the digital universe. It represents big data in better terms than 3Vs.
3Vs of Big Data, Big Data, Crowdsourcing, Google Trends
- Interview: Satyam Priyadarshy, Halliburton on Big Data Challenges in Oil & Gas Industry - Mar 30, 2015.
We discuss Analytics at Halliburton, Big Data challenges unique to Oil & Gas industry, and the 7 V’s of Big Data.
3Vs of Big Data, Challenges, Halliburton, Interview, IoT, Oil & Gas, Satyam Priyadarshy
- Chief Data Officer Summit 2014 – Day 1 Highlights - Jun 24, 2014.
Highlights from the presentations by Data Governance experts from State of Colorado, IBM, Informatica and Sony Pictures Entertainment on day 1 of Chief Data Officer Summit 2014 in San Francisco, CA.
3Vs of Big Data, Analytics, Chief Data Officer, Conference, Data Governance, IE Group, San Francisco-CA
- Interactive Big Data Timeline - Apr 8, 2014.
A very interesting interactive Big Data timeline takes you from the beginning of information overload in 1880s to Business Intelligence, World Wide Web, Hadoop, Cloud, and more.
3Vs of Big Data, ERP, Gil Press, Hadoop, IBM, Information Overload, Timeline
