2015 Feb Opinions, Interviews, Reports

• 5 Lessons from a Data Science Chat - Mar 19, 2015.
  Data science applications, key challenges, appropriate skills and more – key takeaways from a data science Tweet chat.

  Booz Allen, Chat, Data Science, Data Science Skills, Twitter

• Strata + Hadoop World 2015 San Jose – report and highlights - Feb 27, 2015.
  Highlights of Strata + Hadoop World San Jose, including Apache Spark vs Storm vs Samza for streaming data, Kafka as a universal message bus, what Netflix puts in front of HDFS, Parquet as a basis for ETL and analytics, DJ Patil, Internet of Things, and more.

  Apache Spark, CA, DJ Patil, Hadoop, Kafka, San Jose, Strata

• Interview: Nicholas Marko, Geisinger on the Skills Needed for Healthcare Analytics - Feb 27, 2015.
  We discuss challenges of dealing with healthcare data, trends in healthcare analytics, important skills for data scientists and more.

  Analytics, Data Science Skills, Geisinger Health System, Healthcare, Nicholas Marko

• The Internet of People: 4 key principles for analyzing personal data - Feb 27, 2015.
  The “Internet of People” raises a host of legal and ethical questions about the ownership and use of our personal data. We all have a stake in joining and navigating this increasingly stormy debate. Here are 4 key principles.

  Andrew Jennings, Big Data, Ethics, FICO, Personal Data, Predictive Analytics, Privacy

• Interview: Nicholas Marko, Geisinger on Building the Analytics Culture for Healthcare - Feb 26, 2015.
  We discuss how to establish credibility of data analytics, recommendations for a data-driven culture, analytics challenges in healthcare and more.

  Analytics, Data-Driven Business, Decision Making, Geisinger Health System, Healthcare, Nicholas Marko

• RE.WORK Deep Learning Summit, San Francisco, January – videos, presentations - Feb 26, 2015.
  Interesting videos and presentations from January Deep Learning Summit include a Fireside Chat with Andrew Ng and Derrick Harris, presentations by Richard Socher (Founder, MetaMind), Quoc Le (Research Scientist, Google), Greg Corrado (Sr Research Scientist at Google), and more.

  Andrew Ng, CA, Deep Learning, Google, MetaMind, Quoc Le, RE.WORK, Richard Socher, San Francisco

• Interview: Nicholas Marko, Geisinger on the Groundwork for Big Data Success - Feb 25, 2015.
  We discuss Big Data & Analytics at Geisinger Health System, CDO challenges, and impact of Big Data on decision making at executive level.

  Big Data Analytics, Challenges, Chief Data Officer, Geisinger Health System, Healthcare, Insurance, Nicholas Marko

• Beagli: Finding value in your personal data - Feb 25, 2015.
  Personal analytics products can help users extract value from their data. This post describes our development of Beagli, a platform for mining and auctioning personal data.

  Marketplace, Privacy, Startups

• Interview: David Kasik, Boeing on Data Analysis vs Data Analytics - Feb 23, 2015.
  We discuss the impact of increasing amount of data on visualization, difference between Data Analysis and Data Analytics, motivation, trends, desired skills and more.

  3D, Boeing, Career, Data Analysis, Data Analytics, David Kasik, Trends, Visualization

• Big Data, Privacy, and Security – which side are you on? - Feb 18, 2015.
  After all the positive promise, the hype, and predictions about Big Data, 2015 started with a debate about privacy and specifically whether or not companies like Google and Facebook should be allowed to encrypt their users data.

  Big Data, Chris Pearson, Encryption, Facebook, Google, NSA, Paris, Privacy, Security

• Data Mining finds JASBUG, a Critical Security Vulnerability - Feb 17, 2015.
  We explain how the critical Microsoft security vulnerability JASBUG that existed for 15 years was detected with similarity search and regular expression inference.

  Biology, gTLD, JASBUG, Microsoft, Security, Similarity, simMachines

• Interview: David Kasik, Boeing on How Visual Analytics is Improving Aviation Safety - Feb 16, 2015.
  We discuss data visualization at Boeing, the importance of Visual Analytics, Aviation Safety improvement through Analytics and augmented reality.

  Augmented Reality, Aviation, Boeing, Data Visualization, David Kasik, Graphics, Interview, Visual Analytics

• Interview: M.C. Srivas, CTO, MapR on Data Agility – The Next Frontier of Big Data - Feb 12, 2015.
  We discuss the competitive differentiation of MapR, challenges in consumerizing Big Data, trends, strategy recommendations, desired skills and more.

  Big Data, Business Strategy, Challenges, Competition, Education, Interview, M. C. Srivas, MapR, Trends

• Interview: M.C. Srivas, MapR on Demystifying the Art of Processing Massive Data - Feb 11, 2015.
  We discuss the launch and evolution of MapR, achievements, key characteristics of MapR-DB, significance of Apache Drill, MapR use cases and more.

  Apache Drill, Apache Spark, Google, M. C. Srivas, MapR, Mining Massive Datasets, Shark

• PAW: How Predictive Analytics Reinvents These Six Industries - Feb 10, 2015.
  Predictive analytics is a game-changer - it's like "Moneyball" for... money. This article summarizes and links resources with late-breaking coverage of how predictive analytics reinvents six industries.

  Eric Siegel, Finance, Government, Healthcare, Manufacturing, Marketing, PAW, Predictive Analytics World, Workforce Analytics

• Interview: Phani Nagarjuna, Nuevora on Right Data and Business Analytics Roadmap - Feb 10, 2015.
  We discuss the journey of Business Analytics, definition of Right Data, competitive differentiation of Nuevora, challenges in the large-scale consumerization of analytics, and more.

  Business Analytics, Competition, Data Science Skills, Marketing, Nuevora, Phani Nagarjuna, Predictive Analytics

• Data Science’s Most Used, Confused, and Abused Jargon - Feb 10, 2015.
  As data science has spread through the mainstream, so too has a dense vocabulary of ill-defined jargon. In a split-personality post, we offer several perspectives on many of data science's most confused terms.

  Big Data Privacy, Data Science, Deep Learning, Zachary Lipton

• Analyzing Analysts to Build Better Analysis Software - Feb 10, 2015.
  Our study how analysts used Mode led to major updates designed to fit how data analysts and business analysts actually use data - there's no one-size-fits-all tool and analysis doesn't end with the analyst.

  Business Analyst, Data Analyst, Mode Analytics, SQL

• 10 things statistics taught us about big data analysis - Feb 10, 2015.
  There are 10 ideas in applied statistics are relevant for big data analysis, focusing on prediction accuracy, interactive analysis and more.

  Best Practices, Big Data, Overfitting, Statistics

• Interview: Phani Nagarjuna, Nuevora on CMO Expectations from Analytics - Feb 9, 2015.
  We discuss the value proposition of Nuevora, founding story, CMO expectations from Analytics and the Nuevora nBAAP platform.

  Analytics, Applications, Interview, Nuevora, Phani Nagarjuna, Platform, Prescriptive Analytics, Real-time

• Top 30 people in Big Data and Analytics - Feb 9, 2015.
  Innovation Enterprise has compiled a top 30 list for individuals in big data that have had a large impact on the development or popularity of the industry.

  About Gregory Piatetsky, Andy Palmer, Big Data, Big Data Influencers, DJ Patil, Hilary Mason, IE Group, Kirk D. Borne, Paco Nathan, Tom Davenport, Wolfram

• Interview: Jason Bloomberg, Intellyx on the Tricky Balance of Optimization and Innovation - Feb 6, 2015.
  We discuss Agile Digital Transformation, Optimization vs Innovation trade-off, best innovations of 2014, trends, advice and more.

  Data-Driven Business, Disruptive, Innovation, Intellyx, Jason Bloomberg, Optimization, Recommendations

• Two Most Important Trends in Analytics and Big Data in 2015 - Feb 6, 2015.
  In 2015, two most important trends in Analytics and Big Data are in developing countries and big data security.

  Big Data, Predictions for 2015, Security, Trends

• How Many Quants are Changing Jobs? - Feb 6, 2015.
  Being a quantitative recruiter, I have had a unique perspective on the current climate and how often are Quants changing jobs? What does this mean if you’re a Quant? What does this mean if you’re trying to hire a Quant?

  Burtch Works, Hiring, Quants

• The Post-Hadoop World: New Kid On The Block Technologies - Feb 5, 2015.
  Big Data technology has evolved rapidly, and although Hadoop and Hive are still its core components, a new breed of technologies has emerged and is changing how we work with data, enabling more fluid ways to process, store, and manage it.

  Apache Spark, Big Data, Chronos, Docker, Hadoop, YARN

• Analytics Outsourcing to India: Should or Shouldn’t? - Feb 5, 2015.
  Outsourcing analytics talent to India will continue to grow as a trend as evidenced by the increasing number of Fortune 500 companies participating in the practice.

  Analytics, Data Science Team, India, Outsourcing

• Interview: Rachel Hawley, SAS on Why Data Science Needs Communication Skills - Feb 4, 2015.
  We discuss SAS Analytics Center of Excellence, trends, advice, desired skills in data science and more.

  Advice, Communication, Data Science, Hiring, Rachel Hawley, SAS, Skills, Trends

• Interview: Rachel Hawley, SAS on the Quest for Agile Analytics - Feb 3, 2015.
  We discuss Agile Analytics, moving from traditional Analytics to Agile, challenges in operationalizing Analytics, SAS Enterprise Decision Management and SAS In-Memory Statistics.

  Agile, Analytics, Big Data ROI, Challenges, Decision Management, In-Memory Computing, Rachel Hawley, SAS, Statistics

• Interview: Eli Collins, Cloudera on Evolution and Future of Big Data Ecosystem - Feb 2, 2015.
  We discuss the change in Big Data priorities, risks, Big Data ecosystem, rise of data culture in organizations, challenges, advice and more.

  Advice, Big Data, Cloudera, ecosystem, Eli Collins, Strategy, Trends, Vendors

• Avoiding a Common Mistake with Time Series - Feb 2, 2015.
  We explore a common mistake in analyzing relationships between time series, and show how de-trending helps to avoid this error.

  De-trending, Regression, Time Series, Tom Fawcett