Top Five Big Data LinkedIn Groups

Jen Cohen Crompton

As a professional social network, LinkedIn can be an important resource for engaging in discussions and gathering information, but is often underutilized and overlooked.

There is great potential in creating, moderating, and participating in LinkedIn groups geared toward your target industry or business concern. Joining these groups is the first step, and interacting in the space is where you can discover the “real” value. Below are the top five LinkedIn information and networking groups focused on Big Data.

1. Group name: Big Data / Analytics / Strategy / FP&A / S&OP / Strategic

Group description: Dedicated to Big Data, Advanced Analytics, Strategic Planning, FP&A, S&OP, Business Analytics, Forecasting & Planning, Corporate Performance Management, CPM, BPM, Corporate Finance, Financial Planning & Analysis, FP&A, CFO, Integrated Business Planning, IBP, Budgeting & Reporting, Predictive Modeling, Business Analytics, Business Intelligence, BI, Text & Data Mining, Web Analytics, Decision Support Supply Chain Strategy, Demand Planning, Strategic Planning, Sales & Operations Planning, S&OP, CPFR to discuss innovation and best practice. Effective planning is central to business success. In the modern business environment technological developments and the advances of globalization have created unparalleled opportunities for businesses to expand their markets. But new opportunity has opened the door to new challenges. As competition intensifies, businesses have never been under as much pressure to consistently provide the products their customers want, when and where they want them. Shifting customer expectations and the increasingly global nature of supply chains and partnerships place formidable demands on planning & analysis, as the number of relevant variables balloons and the predictability of data becomes increasingly uncertain.

Current discussions: What makes a good digital strategy?, Best Data Visualization tools, Top 5 Myths about Big Data
Members: 37,277
Group manager: Deanna Notice – twitter: @IEDeanna
Group stats: Very active – 154 discussions this month > more info
Demographics of members:

  • LOCATION – 7% Greater NYC Area
  • FUNCTION – 20% Finance
  • INDUSTRY – 10% Information Technology and Services
  • SENIORITY – 28% Managers

2. Group name: Big Data, Low Latency

Group description: Scaling low latency data presents an array of engineering challenges. This is a group to discuss them.

Current discussions: SAP Takes Steps to Improve Hadoop Integration devshed.com, Who Owns Your Big Data? — InformationWeek, 1 Terabyte of Text in 7 Seconds
Members: 13,579
Group manager: Austin Holverson – twitter: @telarus
Group stats: Very active – 197 discussions this month > more info
Demographics of members:

  • LOCATION – 29% San Francisco Bay Area
  • FUNCTION – 32% Engineering
  • INDUSTRY – 37% Computer Software
  • SENIORITY – 37% Senior

3. Group name: Big Data and Analytics

Group description: Networking Group for individuals with a special interest in Big Data. Ideas exchange, Conferences, Seminars, Workshops, Technology Updates.

Current discussions: Closed group
Members: 24,263 members
CONSIDERED: very active/ 12 discussions last week
Group Manager: Trevor Dearing
Group stats: Very active – 12 discussions last week > more info
Demographics of members:

  • LOCATION – 16% San Francisco Bay Area
  • FUNCTION – 36% Information Technology & Services
  • INDUSTRY – 37% Computer Software
  • SENIORITY – 40% Senior

4. Group name: BIG DATA, NoSQL and Cloud Computing Discussion and JOB posting group

Group description: LinkedIn’s largest BIG DATA, NoSQL, Cloud Computing IAAS PAAS SAAS group from San Francisco Bay Area and New York. For IT professionals: Hadoop MapReduce MongoDB Apace Cassandra CouchDB DynamoDB SimpleDB Hypertable HBase Riak BigTable Neo4J Hive.

Current discussions: What key challenges facing BIG DATA?, CTP® Certified Treasury Professional-Review events.linkedin.com, Hadoop in Finance Day, Mon 26th March 2012, New York City
Members: 3,460
Group stats: Very active – 339 discussions >  more info
Demographics of members:

  • LOCATION – 23% Pakistan
  • FUNCTION – 21% Finance
  • INDUSTRY – 14% Accounting
  • SENIORITY – 35% Senior

5. Group name: Distributed Computing & Applications Professional: Hadoop, MapReduce, NoSQL, MongoDB, VLDB, Big Data

Group description: A group for scalable computing and distributed computing and applications professionals located throughout the world. Hadoop, MapReduce, NoSQL, Hive, Slide, Shale, Cloud Computing, Distributed File System, Google File System, High Performance Computing, Utility Computing, Amazon Elastic Compute Cloud (EC2) and Amazon Simple Storage Service (S3), Amazon Elastic MapReduce, HDFS filesystem database, Nutch, HBase, Hypertable, MapReduce, Apache Pig, Apache Mahout, Machine Learning, VLDB, Data Mining, Cassandra, CouchDB, MongoDB, node.js, Python, Groovy, Ruby on Rails, RoR, Scala, Clojure, JVM, NetKernel, Resource Oriented Computing, ROC, neo4j, redis

Current discussions: Hiring Hadoop leaders, challenges with big data, job postings/
Members: 3,846
Group owner: Steven Englander – twitter: @recsci
Group stats: Active – 23 discussions this month > more info
Demographics of members:

  • LOCATION – 25% San Francisco Bay Area
  • FUNCTION – 44% Engineering
  • INDUSTRY – 48% Computer Software
  • SENIORITY – 42% Senior

About Jen Cohen Crompton

Jen Cohen Crompton is a SAP Blogging Correspondent reporting on big data, cloud computing, enterprise mobility, analytics, sports and tech, and anything else innovation-related. When she's not blogging, she can be caught marketing, using social media and/or presenting at conferences around the world. Disclosure: Jen is being compensated by SAP to produce a series of articles on the innovation topics covered on this site. The opinions reflected here are her own.