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Training Session: A Beginner’s Guide to Big Data Analytics with Hadoop

You must sign up HERE: Responding via is not sufficient.


Excited about big data, and want to get hands-on playing with data sets and popular data tools? It’s time to Code Big or Go Home!

  • Date / time: Session 1: 6:30pm - 8pm Session 2: 8:30pm - 10pm
  • Location: hack/reduce (275 3rd St, Cambridge, MA 02142)
  • Cost: free (limited to 50 attendees)


Sign up now:



  • Background: Basic programming skills (e.g. with Java or Python). Knowledge on Big Data or Hadoop is NOT required.
  • Laptop: Bring a Linux or Mac laptop with the software tools mentioned in the Prerequisites section here preinstalled. Users of a Windows laptop can install a Linux virtual machine (e.g. see notes here).
  • Mindset: Excited to learn new tools and gain relevant skill sets



In this session, we will teach you how to program and operate Hadoop, the poster child technology enabler of Big Data. Why should you care? Take a look at this exploding chart of Hadoop job trends. Even CEOs are starting to care about Hadoop.  Oh by the way, it’s open source and free to use.

By attending this session, you will be able to:

  • Gain hands-on big data experiences with the experts
  • Learn a cutting-edge tool that may help you tackle open problems at your current job, or open up new career opportunities
  • Network with fellow hack / reduce technologists and find ways to work together on big data problems

For tickets:


Session Agenda

In this 90-minute session, we will cover the following ground:

  • Write and execute Java-based Map Reduce (MR) jobs to analyze the data at hand
  • Program MR jobs with other languages (e.g. python, ruby) via Hadoop Streaming
  • Basic usage of HDFS, the Hadoop file system to deploy and run MR jobs
  • Introduction to monitoring and performance tuning on Hadoop
  • Declarative data processing on Hadoop via HIVE

By the end of this session, you will be able to program and run Hadoop jobs on your own computer as well as on the cloud.



Mingsheng Hong

Chief Data Scientist at Hadapt

hack / reduce Contributor

Mingsheng Hong is Chief Data Scientist at Hadapt, driving the product roadmap and incubating analytic use cases. Prior to this role, Mingsheng was Field CTO at Vertica, an HP company, and was instrumental in its product development and positioning.

Mingsheng obtained his Computer Science Ph.D. degree at Cornell University, where he built Cayuga, the world's first expressive and scalable CEP engine. Mingsheng also co-founded the Microsoft CEDR event processing project, which became the Microsoft StreamInsight technology shipped with SQL Server 2008 and 2012.

Mingsheng is a frequent speaker on Big Data, and has given talks, lectures and demos at Hadoop World, TDWI conferences, the Cube and Harvard Business School.


Greg Lu

Software Engineer at Hopper

Founding Member of hack / reduce Hackathons

Greg Lu is a software engineer at Hopper, a travel search engine company. He is well versed in Java, Hadoop/Mapreduce (distributed filesystem and computation), Cassandra and HBase (distributed databases), Heritrix (web crawling), and Solr/Lucene (search and indexing).

Greg is also the technical organizer of HackReduce (, where he implemented an automated cluster management system in EC2 for creating and expanding the multiple Hadoop clusters [masked] instances), as well as mentoring the participants during the one day hackathon events.

Greg began his software career as a web developer for over 6 years, starting with PHP and then Ruby on Rails for the later 5. He has also worked with many other languages and technologies throughout my own explorations and studies.

Join or login to comment.

  • A former member
    A former member

    Are the materials from this presentation available?

    February 19, 2013

  • Douglas M.

    Thank you Greg and Mingsheng for your time and skill in presenting a complex subject in such a short time.

    December 5, 2012

  • Mathew

    Got what I came for.

    December 5, 2012

  • Joe F.

    The information presented was exactly as advertised. "Hands on" sessions are always a challenge since you of course need to keep to a timeline, yet a minor error on the part of a participant can cause him to fall behind. Consider smaller sessions or more assistants.

    December 5, 2012

  • Kiran K.

    I cannot remember whether I signed up through Eventbrite or not.
    Is there any way to figure it out? I cannot seem to logon to Eventbrite to get my history for this event

    December 4, 2012

    • Greg L.

      You should've received an e-mail about which session you're assigned to. Either session 1 at 6:30 - 8:00 or session 2 at 8:30 - 10:00.

      1 · December 4, 2012

    • A former member
      A former member

      Hi Kiran, It shows that you're attending this event as per the meetup page. However, the next best way to know is to follow Greg L's advice.

      December 4, 2012

  • S K.

    Is the session at 8:30-10 also full? I dont see a registration for this time at EventBrite.

    December 4, 2012

    • Greg L.

      If you weren't able to sign up by Eventbrite or through Meetup, then it's all full. Keep a look out because we plan on running these events regularly.

      December 4, 2012

  • Joseph K.

    Do I need an eventbrite ticket or just a yes RSVP here to attend?

    December 2, 2012

    • Greg L.

      You need to have signed up and gotten a ticket through Eventbrite. Sorry if you weren't able to get one this time! We're trying to keep this event small so that us mentors (only 2 of us) will be able to help people individually, if needed. We'll be hosting these much more regularly than our monthly hackathons, so watch out for the next one!

      December 2, 2012

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