• Lunch and Learn with a presentation by HORTONWORKS

    DST Systems Inc

    Hear an exciting presentation from HORTONWORKS

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  • Big Data Summit 2017 Oct 18-19 Bartle Hall

    Kansas City Convention Center

    Hi all, The Big Data Summit is on and ready to go Oct 18-19 at Bartle Hall. Come interact with some of the newest, coolest big data technology companies and thought-leaders. Go to www.bigdatasummitkc.org to see details, agenda, speakers, sponsors, and the link to get tickets. Use discount code meetup20 to get your member discount. Betty Ann will be at next Tuesday's meetup to register you for the Big Data Summit. I look forward to seeing you there. Don

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  • Applying Machine Learning to Real-time Sensor Data on Spark and Kafka

    Join Talend as they bring a deep discussion on the real-world technologies that underlie IoT (Internet of Things). Working with real-time, streaming data from mobile phone sensors, and using tools that you can use yourself, we walk through the process of building a machine learning solution with Spark and Kafka to collect and analyze user activity. If you are using Kafka, Spark, or any real-time data technologies, or even if you are just trying to get a better understanding of them, this event is for you.

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  • Talking NoSQL with Couchbase - Case Studies & Tech Overview

    Couchbase Intro and Customer Stories/Use Cases - Justin Tuggle (Enterprise Account Executive) Couchbase Technical Overview - Doug Juaregui (Sr. Solutions Engineer) Developers around the world build enterprise web, mobile, and IoT applications on the Couchbase data management platform to support massive data volumes in real time. The Couchbase platform includes Couchbase Server, Couchbase Lite - the first mobile NoSQL database, and Couchbase Sync Gateway. Couchbase makes it easy for developers to build enterprise applications on NoSQL using N1QL, a declarative query language that extends SQL for JSON. Couchbase also makes it easy to operate at any scale, with elastic scalability and configurable cross data center replication to increase data locality and availability. All Couchbase products are open source projects.

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  • An Elephant in your lap? Run a Hadoop cluster as docker containers!

    Presenters: Atul Khachar, VP Solutions Engineering, Yotabites Consulting Mani Raman, CTO, Yotabites Consulting Normally VM images on your laptop turns out to be impractical often due to resource constraints and the "all or nothing" configuration of the image. We will demonstrate how to customize docker images with only the Hadoop components and services you need and deploy docker containers as a Hadoop cluster! Pizza and beverages will be served!

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  • Using Vertica’s open analytical architecture in your big data portfolio

    Vertica at its core is a SQL-based MPP analytical database. However, it also integrates across the big data portfolio with Hadoop, Kafka, Spark, and more. This presentation will provide an overview of Vertica and will demonstrate some of the ways it can provide value and integration with other big data tools. Vertica will provide lunch. Guest Speakers: Dave Thompson: Dave has many years of experience in the world of data including database administration, consulting, IBM worldwide best practices, and Netezza technical account management. He is currently with Vertica. Tuan Pham: Tuan has been with Vertica for 7 years and has over 10 years of experience building data applications on top of various databases and search engine technologies.

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  • Big Data Pipelines/Flows, Use case driven comparison: Apache NiFi & StreamSets

    Join us for lunch for the final meetup of 2016! Lunch and beverages will be provided by Yotabites. Yotabites Consulting will present an in-depth technical comparison and demo of some of the popular data flow and pipelining tools in the market - Apache NiFi and StreamSets - using both batch and streaming datasets. Data flows reflect the real world reality that application processing is a set of asynchronous processes with data exchanged between them. In the domain of Big Data, continuous ingestion streams as well as batch ingestion is very common. Using examples of both, Yotabites experts will present a comparison of data flow using both Apache NiFi and StreamSets. Speakers: Atul Khachar, Yotabites, Solution Architecture and Delivery Atul has over 15 years of rich experience in the data technology space. Atul spent a lot of his career at IBM, where he served as the Software Architect and Sr.Manager for IBM's Netezza MPP product line as well as IBM's Informix database. Harshal Sadhankar, Yotabites, DevOps Engineer As part of Yotabites' Big Data engineering team, Harshal focuses on automation and research.

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  • Using Data Quality to Support Analytics in Hadoop (Overland Park Happy Hour)

    KU Edwards Campus BEST Conference Center

    Information Builders (IBI) is doing a double! This is a happy hour session at the KU Edwards Campus BEST conference center in Overland Park. Abstract Many of your peers, and possibly you are challenged with your Big Data projects taking too long and requiring too many resources to deliver value. Attend this popular presentation to learn how our platform removes the barriers of hand coding in Hadoop to enable your agile Big Data development, and how powerful visualization tools can significantly streamline your data management and data delivery efforts. Review Hadoop native ingest and transform capabilities. After getting your data in shape, see a live demonstration of the most powerful visualization and analytics platform on the market. You will see how you can quickly and automatically uncover valuable insights within your Big Data and share with the entire organization. Speakers Chris Klaus Chris Klaus is an Information Builders Solution Architect based in Chicago. His responsibilities primarily involve designing master data management and big data solutions for prospective customers. Chris has over two decades of experience as a data scientist with his research published in peer reviewed journals as well as a book chapter. Peter Morris Peter Morris is Information Builders Midwest Director of Data Management Solutions. He has been working with Business Intelligence, analytics, master data, and big data for over 25 years. His experience in helping customers in manufacturing, banking, financial services and healthcare demonstrates a keen understanding of how to deliver value early and often in the development life cycle.

  • Title: Using Data Quality to Support Analytics in Hadoop (lunch session)

    Information Builders (IBI) is doing a double! This is a lunch session at DST Systems (location information : 333 West 11th Street, Kansas City, MO). Abstract: Many of your peers, and possibly you are challenged with your Big Data projects taking too long and requiring too many resources to deliver value. Attend this popular presentation to learn how our platform removes the barriers of hand coding in Hadoop to enable your agile Big Data development, and how powerful visualization tools can significantly streamline your data management and data delivery efforts. Review Hadoop native ingest and transform capabilities. After getting your data in shape, see a live demonstration of the most powerful visualization and analytics platform on the market. You will see how you can quickly and automatically uncover valuable insights within your Big Data and share with the entire organization. Speakers Chris Klaus Chris Klaus is an Information Builders Solution Architect based in Chicago. His responsibilities primarily involve designing master data management and big data solutions for prospective customers. Chris has over two decades of experience as a data scientist with his research published in peer reviewed journals as well as a book chapter. Peter Morris Peter Morris is Information Builders Midwest Director of Data Management Solutions. He has been working with Business Intelligence, analytics, master data, and big data for over 25 years. His experience in helping customers in manufacturing, banking, financial services and healthcare demonstrates a keen understanding of how to deliver value early and often in the development life cycle.

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  • Talend: Integrating Realtime data streams with Spark and Kafka

    Integrating Realtime Data Streams with Spark and Kafka for Video and Data-Stream Analysis Join Talend as they bring you a deep, technical discussion on the real-world data science that underlies modern sport. Working from actual data collected in the English Premier league, and using tools that you can use yourself, we will walk through the process of building an analytics package using Spark and Kafka to collect real-time instrumentation data and produce meaningful results in minutes. The code, tools, and content for this session are readily available online and you can apply them to your own analytics projects to accelerate your own real-time analytics. If you are using Kafka, Spark, or any real-time technologies, or even if you are just trying to get a better understanding of them, this event is for you. Presenter: Chris Harrold, Talend

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