• Big Data in Practice with Cassandra and Spark


    Start Time:

    Sep 10, 2015 5:00 PM

    End Time:

    Sep 10, 2015 7:30 PM

    Location:
    Constant Contact Reservoir Place
    1601 Trapelo Road Waltham MA 021451
    8


    Speakers: Vineet Sinha Brian Tarbox Craig Lubin Justin Sun

    With the ever increasing need to extract information from large data sources, "Big Data" is becoming very hot. We will have a set of presentations showing how the big data technologies line up for to solve problems. We will cover industry use-cases, challenges driving technologies in this space, architectures for using these technologies, and what some of the main technology options are. 

    We will also dive into two particular technologies: We will introduce Cassandra as an option for storage - in particular for when you need high scalability and for fault-tolerance on commodity hardware (or cloud infrastructure). For processing options we will introduce Spark for fast large-scale data processing using an intuitive and unified API.

    Speaker Biography

    Vineet Sinha

    Vineet Sinha leads innovation prototyping efforts exploring the use of Emerging Tech for enterprises at Salesforce and is the lead on the open-source Violet Framework. He blogs at http://i3labs.org/


    Brian Tarbox

    Brian started coding in Fortran on a PDP-11 and is currently an Amazon Certified Solutions Architect - Associate coding in Java, Scala and Salt.  He's won Oracle's Rock Star and Duke's Choice awards holds multiple patents and writes for several magazines.


    Craig Lubin

    Craig Lubin is a Full Stack Developer and Functional Programming Evangelist. Combining a mix of passion, and love of software development, Craig has designed and developed several software systems in the financial, e-commerce, and education sectors. Craig specializes in leveraging best of breed open source software to create software infrastructure to drive efficient product creation. Coding well, learning by doing, and building great teams are also his drivers for success. Craig holds a Masters in Physics from the City University of New York.


    Justin Sun

    Justin Sun is a Software Engineering Manager leading a team of backend developers who are revolutionizing the travel industry with microservices. He has previously worked as a Principal Software Engineer and Architect and has been building Java-based systems for over 15 years. Justin holds a Master of Science degree in Computer Science from the University of Maryland Baltimore County.




NEJUG Calendar

Recent Events
  • You’ve probably heard of MicroProfile, but how do you go from buzz to production? In this code-heavy, interactive presentation, we’ll describe how to use OpenTracing (http://opentracing.io/) with Jaeger (https://www.jaegertracing.io/)  and annotations in MicroProfile and other Microservice architectures to reliably improve and deploy updated versions your applications to OpenShift and Kubernetes in the cloud.  Topics include best practices for performance analysis, maintaining delivery pipelines using the Linux command line, plus tips on the best free OpenTracing tools and SDKs available on GitHub.

     

    NOTE: This meeting is NOT on our normal "second-Thursday" schedule.

     

  • The popularity of Amazon's Alexa and Google Home has been inspiring both developers and businesses to think about Voice computing. From a banking assistant on your phone to grocery shopping on your TV - it is truly exciting to see how Voice Interfaces could be used. The challenge, however, is that most Voice Apps are fairly limited in what they can do.

    In this talk, Vineet shares experiences from prototyping and building over a dozen Voice Apps. He shows how practical decisions can make implementing great apps easy, reviews existing tools that have been built and talks about Violet (http://helloviolet.ai/) an Open-Source Voice App Framework designed to help developers create Voice Apps. Violet uses an approach inspired by Angular and React to simplify the complexity needed when manually building using other lower-level frameworks, while providing for more flexibility than the drag-and-drop non-technical tools on the market.

  • Learning a new programming language doesn’t have to be hard. Sure, there’s a lot of new stuff to wrap your head around: syntax, keywords and symbols, conventions, how to define variables and methods, arrays, and the list go on and on! But what if there were a technique and toolkit you could use to master a new language fast?

    In this session, Richard Kasperowski introduces mob programming and code koans. Mobbing is about getting all the best minds working on the same computer at the same time. Code koans are a series of micro-puzzles that teach you the new language in little chunks, using test-driven development. We’ll mob together on a set of code koans to learn a new language. Even better, we’ll decide on the language together! Current choices include C++, Java, JavaScript, Python, and Ruby.

    Who should attend? Anyone who wants to learn about mob programming and how to learn a new language.

     

    We would like to thank our event host Chewy.com for all the support for making this event possible in Downtown Boston. 

     

    • The venue will open at 5:30 PM for networking, so come early and meet everyone else. 
    • Pizza, drinks (including beer!)  sponsored by Chewy --- there will be some Gluten free pizza as well.
    • There will be a 15 minutes Lighting Talk at 6:00 by Marco Ferrer, Software Engineer at Chewy.

     

    If you have any questions, feel free contact Mahesh Acharya (Nejug Event Coordinator) at 617 767 Three One Seven One.

    We would like to thank the following volunteers:

    Photography: George Yazbeck

    Videography:  Francis Solis Olivares

     

     

  • Resilient architecture is crucial for all cloud implementations. In this talk, we explore different design patterns to make a distributed application more resilient. 

    As part of this journey, for any process, we need to ask what if something goes wrong? Then, plan a course of action to the process auto heal without any human intervention and how to lower risks by performing canary deployments. Design starts with at first understanding of requirements and performing empathy map and value chain analysis. 

    Thinking application as stateless for all the API calls makes the system available most of the time requires creating a cache for common distributed data. Next, we examine how to deal with cascading failures, and timeouts scenarios.  Applications, as part of auto-healing, need to Detect, Prevent, Recover, Mitigate, Complement so that the service is resilient. 

    Key takeaways for the audience are as follows:

    • Resiliency is essential for any feature in cloud
    • Understanding the value chain is critical to identify failure points
    • Challenges come in identifying if there is a failure and design the system for auto healing
    • Focus should be first to prevent a failure to occur. 
    • Identifying key challenges in your company and tools and techniques to auto-heal and provide a sustainable solution