TYPESAFE TOGETHER - SUBSCRIBER TRAINING. Training Classes
|
|
- Jayson Sutton
- 8 years ago
- Views:
Transcription
1 TYPESAFE TOGETHER - SUBSCRIBER TRAINING Training Classes As your business goes Reactive, a ton of development work lays ahead. Now, more than ever, the knowledge and skills of your staff has a direct impact on the success of your business. Ensure your developers are empowered to become effective change agents with training from Typesafe. Typesafe instructor-led training is available as an additional fee for Typesafe Together members. Our hands-on, lab-based approach to learning keeps students at their keyboard for as much as 80% of a course and maximizes the retention of skills they ll use every day. The following courses and workshops are available from Typesafe.
2 Apache Spark: An Introductory Workshop For Developers This two-day workshop is designed to teach developers how to implement efficient data analytics using Apache Spark for Reactive applications. In this workshop, developers will use hands-on exercises to learn the principles of Spark programming and idioms for specific problems, such as event stream processing, SQL-based analysis on structured data, and the basics of integration with Mesos and Hadoop. The underlying compute model and how to exploit it for optimal performance are also covered. understand how Spark works understand how to use the Spark Scala API to implement various data analytics algorithms for offline (batch-mode) and event-streaming applications understand how to test and deploy Spark applications understand the basics of integrating Spark with Akka and Hadoop
3 Fast Track to Scala This two-day course is designed to give experienced developers proficient in Java, C++, C# or Ruby the know-how to confidently start programming in Scala. The course ensures you will have a solid understanding of the fundamentals of the language, the tooling and the development process as well as a good appreciation of the more advanced features. If you already have Scala programming experience, then this course could be a useful refresher, yet no previous knowledge of Scala is assumed. be a competent user of Scala for application development know and be able to apply the functional programming style in Scala know how to use the fundamental Scala tools be confident to start using Scala in production applications
4 Advanced Scala If you already have programming experience with Scala and want to understand its advanced features, this two-day course is for you. It is designed to help developers fully understand topics such as advanced object-functional programming, the power of Scala s type system, implicits, etc. The course also covers how to leverage these features to create well-designed libraries or DSL s utilizing proven best practices. Prerequisites: A basic knowledge of Scala as covered in the Fast Track to Scala course with at least two months practical experience in developing with Scala. understand all aspects of the object-functional approach know and be able to apply advanced features of Scala s type system fully understand implicits and type classes be confident to create libraries and DSLs with Scala
5 Fast Track to Akka with Scala This two-day course introduces experienced application developers to the reactive Akka toolkit and runtime and the methodologies that enable the creation of real-world actor-based systems in Scala on a single JVM. Prerequisites: Code examples and exercises will be written in Scala, so a basic knowledge of Scala as covered in the Fast Track to Scala course is required. know how to design scalable and fault-tolerant applications using Akka s actors know how to configure, test and tune Akka applications know best practices for designing asynchronous, event-driven systems using Akka be confident to start using Akka in production systems
6 Advanced Akka with Scala This is a two-day advanced course on building distributed reactive applications using Akka and Scala. It is intended for developers who already have a strong understanding of the fundamentals of building applications using Akka and Scala on a single JVM and are looking to learn how to scale out to multiple nodes. Prerequisites: A basic knowledge of Akka as covered in the Fast Track with Akka and Scala course as well as a basic knowledge of Scala as covered in the Fast Track to Scala course with at least two months practical experience in developing with Akka and Scala. know how to use Akka s remoting and clustering features understand how to integrate 3rd party systems know how to create a RESTful HTTP layer be confident to start using Akka on large scale
7 Fast Track to Play with Scala This two-day course introduces experienced web-developers to the design-patterns and methodology essential to building reactive, scalable web applications with Play Framework and Scala. An introduction to Slick, a typesafe and modern database query and access library for Scala is also part of agenda. Prerequisites: Code examples and exercises will be written in Scala, so a basic knowledge of Scala as covered in the Fast Track to Scala course is required, as is experience with HTML and JavaScript. know how to build fully fledged web applications using Play know best practices for developing web applications using Play be confident to start using Scala and Play applications in production
8 Fast Track to Play with Java This two-day course introduces experienced web-developers to the design-patterns and methodology essential to building reactive, scalable web applications with Play Framework and Java. Prerequisites: Code examples and exercises will be written in Java, so previous experience with Java is required, as is experience with HTML and JavaScript. know how to build fully fledged web applications using Play know best practices for developing web applications using Play be confident to start using Java and Play applications in production
9 Typesafe is dedicated to helping developers build Reactive applications on the JVM. Backed by Greylock Partners, Shasta Ventures, Bain Capital Ventures and Juniper Networks, Typesafe is headquartered in San Francisco with offices in Switzerland and Sweden. To start building Reactive applications today, download Typesafe Activator. San Francisco USA (HQ) Lausanne SWITZERLAND Uppsala SWEDEN 625 Market Street 10th Floor San Francisco, CA Typesafe Switzerland Sàrl EPFL Innovation Park Bâtiment D 1015 Lausanne Switzerland Typesafe AB Dag Hammarskjölds väg Uppsala Sweden 2014 Typesafe
Building Scalable Big Data Infrastructure Using Open Source Software. Sam William sampd@stumbleupon.
Building Scalable Big Data Infrastructure Using Open Source Software Sam William sampd@stumbleupon. What is StumbleUpon? Help users find content they did not expect to find The best way to discover new
More informationMonitoring Hadoop with Akka. Clint Combs Senior Software Engineer at Collective
Monitoring Hadoop with Akka Clint Combs Senior Software Engineer at Collective Collective - The Audience Engine Ad Technology Company Heavy Investment in Hadoop and Other Scalable Infrastructure Need to
More informationDeveloping Scalable Smart Grid Infrastructure to Enable Secure Transmission System Control
Developing Scalable Smart Grid Infrastructure to Enable Secure Transmission System Control EP/K006487/1 UK PI: Prof Gareth Taylor (BU) China PI: Prof Yong-Hua Song (THU) Consortium UK Members: Brunel University
More informationResponsive, resilient, elastic and message driven system
Responsive, resilient, elastic and message driven system solving scalability problems of course registrations Janina Mincer-Daszkiewicz, University of Warsaw jmd@mimuw.edu.pl Dundee, 2015-06-14 Agenda
More informationNextRow - AEM Training Program Course Catalog
NextRow - AEM Training Program Course Catalog Adobe Experience Manager Training Program Course Catalog NextRow provides Adobe CQ training solutions designed to meet your unique project demands. To optimize
More informationDatabricks. A Primer
Databricks A Primer Who is Databricks? Databricks vision is to empower anyone to easily build and deploy advanced analytics solutions. The company was founded by the team who created Apache Spark, a powerful
More informationDatabricks. A Primer
Databricks A Primer Who is Databricks? Databricks was founded by the team behind Apache Spark, the most active open source project in the big data ecosystem today. Our mission at Databricks is to dramatically
More informationShark Installation Guide Week 3 Report. Ankush Arora
Shark Installation Guide Week 3 Report Ankush Arora Last Updated: May 31,2014 CONTENTS Contents 1 Introduction 1 1.1 Shark..................................... 1 1.2 Apache Spark.................................
More informationCRITEO INTERNSHIP PROGRAM 2015/2016
CRITEO INTERNSHIP PROGRAM 2015/2016 A. List of topics PLATFORM Topic 1: Build an API and a web interface on top of it to manage the back-end of our third party demand component. Challenge(s): Working with
More informationIn-Memory BigData. Summer 2012, Technology Overview
In-Memory BigData Summer 2012, Technology Overview Company Vision In-Memory Data Processing Leader: > 5 years in production > 100s of customers > Starts every 10 secs worldwide > Over 10,000,000 starts
More informationCopyright 2013 Splunk Inc. Introducing Splunk 6
Copyright 2013 Splunk Inc. Introducing Splunk 6 Safe Harbor Statement During the course of this presentation, we may make forward looking statements regarding future events or the expected performance
More informationxpaaerns on Spark, Shark, Tachyon and Mesos
xpaaerns on Spark, Shark, Tachyon and Mesos Spark Summit 2014 Claudiu Barbura Sr. Director of Engineering A>geo Agenda xpa&erns Architecture From Hadoop to BDAS & our contribu
More informationHow Companies are! Using Spark
How Companies are! Using Spark And where the Edge in Big Data will be Matei Zaharia History Decreasing storage costs have led to an explosion of big data Commodity cluster software, like Hadoop, has made
More informationReactive Applications: What if Your Internet of Things has 1000s of Things?
Reactive Applications: What if Your Internet of Things has 1000s of Things? dean.wampler@typesafe.com @deanwampler Photographs licensed from istock unless otherwise noted. Characteristics of Large IoT
More information2012 LABVANTAGE Solutions, Inc. All Rights Reserved.
LABVANTAGE Architecture 2012 LABVANTAGE Solutions, Inc. All Rights Reserved. DOCUMENT PURPOSE AND SCOPE This document provides an overview of the LABVANTAGE hardware and software architecture. It is written
More informationSwiftScale: Technical Approach Document
SwiftScale: Technical Approach Document Overview This document outlines a technology embodiment of the SwiftScale application including the technology, deployment and application architectures. Technology
More informationIn-memory data pipeline and warehouse at scale using Spark, Spark SQL, Tachyon and Parquet
In-memory data pipeline and warehouse at scale using Spark, Spark SQL, Tachyon and Parquet Ema Iancuta iorhian@gmail.com Radu Chilom radu.chilom@gmail.com Buzzwords Berlin - 2015 Big data analytics / machine
More informationAkka Streams. Dr. Roland Kuhn @rolandkuhn Typesafe
Akka Streams Dr. Roland Kuhn @rolandkuhn Typesafe Why Streams? processing big data with finite memory real-time data processing (CEP) serving numerous clients simultaneously with bounded resources (IoT,
More informationYARN, the Apache Hadoop Platform for Streaming, Realtime and Batch Processing
YARN, the Apache Hadoop Platform for Streaming, Realtime and Batch Processing Eric Charles [http://echarles.net] @echarles Datalayer [http://datalayer.io] @datalayerio FOSDEM 02 Feb 2014 NoSQL DevRoom
More informationDRIVING INNOVATION THROUGH DATA ACCELERATING BIG DATA APPLICATION DEVELOPMENT WITH CASCADING
DRIVING INNOVATION THROUGH DATA ACCELERATING BIG DATA APPLICATION DEVELOPMENT WITH CASCADING Supreet Oberoi VP Field Engineering, Concurrent Inc GET TO KNOW CONCURRENT Leader in Application Infrastructure
More informationSAP HANA Cloud Platform
SAP HANA Cloud Platform Introduction Rui Nogueira, SAP AG - TIP CORE June 12 th, 2013 Building An Application For The Cloud 2013 SAP AG or an SAP affiliate company. All rights reserved. 2 Building an Enterprise-Ready
More informationHow To Create A Data Visualization With Apache Spark And Zeppelin 2.5.3.5
Big Data Visualization using Apache Spark and Zeppelin Prajod Vettiyattil, Software Architect, Wipro Agenda Big Data and Ecosystem tools Apache Spark Apache Zeppelin Data Visualization Combining Spark
More informationSO WHAT IS NETSCIENTIUM?
Bangalore, India New Jersey, USA SO WHAT IS NETSCIENTIUM? Netscientium is one-stop solution for your niche and specialized training requirements. Netscientium is the brainchild of Netscitus Corporation,
More informationCase Study : 3 different hadoop cluster deployments
Case Study : 3 different hadoop cluster deployments Lee moon soo moon@nflabs.com HDFS as a Storage Last 4 years, our HDFS clusters, stored Customer 1500 TB+ data safely served 375,000 TB+ data to customer
More informationA REVIEW PAPER ON THE HADOOP DISTRIBUTED FILE SYSTEM
A REVIEW PAPER ON THE HADOOP DISTRIBUTED FILE SYSTEM Sneha D.Borkar 1, Prof.Chaitali S.Surtakar 2 Student of B.E., Information Technology, J.D.I.E.T, sborkar95@gmail.com Assistant Professor, Information
More informationScaling Progress OpenEdge Appservers. Syed Irfan Pasha Principal QA Engineer Progress Software
Scaling Progress OpenEdge Appservers Syed Irfan Pasha Principal QA Engineer Progress Software Michael Jackson Dies and Twitter Fries Twitter s Fail Whale 3 Twitter s Scalability Problem Takeaways from
More informationLambda Architecture for Batch and Real- Time Processing on AWS with Spark Streaming and Spark SQL. May 2015
Lambda Architecture for Batch and Real- Time Processing on AWS with Spark Streaming and Spark SQL May 2015 2015, Amazon Web Services, Inc. or its affiliates. All rights reserved. Notices This document
More informationLeveraging Mesos as the Ultimate Distributed Data Science Platform
However, Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb is a rather long title, yet the best movie ever (IMHO) Leveraging Mesos as the Ultimate Distributed Data Science Platform (such
More informationMesos: A Platform for Fine- Grained Resource Sharing in Data Centers (II)
UC BERKELEY Mesos: A Platform for Fine- Grained Resource Sharing in Data Centers (II) Anthony D. Joseph LASER Summer School September 2013 My Talks at LASER 2013 1. AMP Lab introduction 2. The Datacenter
More informationClient Overview. Engagement Situation. Key Requirements
Client Overview Our client is one of the leading providers of business intelligence systems for customers especially in BFSI space that needs intensive data analysis of huge amounts of data for their decision
More informationMonitis Project Proposals for AUA. September 2014, Yerevan, Armenia
Monitis Project Proposals for AUA September 2014, Yerevan, Armenia Distributed Log Collecting and Analysing Platform Project Specifications Category: Big Data and NoSQL Software Requirements: Apache Hadoop
More informationHow To Write A Trusted Analytics Platform (Tap)
Trusted Analytics Platform (TAP) TAP Technical Brief October 2015 TAP Technical Brief Overview Trusted Analytics Platform (TAP) is open source software, optimized for performance and security, that accelerates
More informationApache Ignite TM (Incubating) - In- Memory Data Fabric Fast Data Meets Open Source
Apache Ignite TM (Incubating) - In- Memory Data Fabric Fast Data Meets Open Source DMITRIY SETRAKYAN Founder, PPMC http://www.ignite.incubator.apache.org #apacheignite Agenda Apache Ignite (tm) In- Memory
More informationScaling Up & Out with Actors: Introducing Akka
Scaling Up & Out with Actors: Introducing Akka Akka Tech Lead Email: viktor.klang@typesafe.com Twitter: @viktorklang The problem It is way too hard to build: 1. correct highly concurrent systems 2. truly
More informationWhat s Cooking in KNIME
What s Cooking in KNIME Thomas Gabriel Copyright 2015 KNIME.com AG Agenda Querying NoSQL Databases Database Improvements & Big Data Copyright 2015 KNIME.com AG 2 Querying NoSQL Databases MongoDB & CouchDB
More informationScaling Out With Apache Spark. DTL Meeting 17-04-2015 Slides based on https://www.sics.se/~amir/files/download/dic/spark.pdf
Scaling Out With Apache Spark DTL Meeting 17-04-2015 Slides based on https://www.sics.se/~amir/files/download/dic/spark.pdf Your hosts Mathijs Kattenberg Technical consultant Jeroen Schot Technical consultant
More informationEmbracing Spark as the Scalable Data Analytics Platform for the Enterprise
Embracing Spark as the Scalable Data Analytics Platform for the Enterprise Matthew J. Glickman GS.com/Engineering Spark Summit East 2015 1 How did we get here today? Strata + Hadoop World October 2014
More informationCreate and Drive Big Data Success Don t Get Left Behind
Create and Drive Big Data Success Don t Get Left Behind The performance boost from MapR not only means we have lower hardware requirements, but also enables us to deliver faster analytics for our users.
More information<Insert Picture Here> Michael Hichwa VP Database Development Tools michael.hichwa@oracle.com Stuttgart September 18, 2007 Hamburg September 20, 2007
Michael Hichwa VP Database Development Tools michael.hichwa@oracle.com Stuttgart September 18, 2007 Hamburg September 20, 2007 Oracle Application Express Introduction Architecture
More informationHadoop MapReduce and Spark. Giorgio Pedrazzi, CINECA-SCAI School of Data Analytics and Visualisation Milan, 10/06/2015
Hadoop MapReduce and Spark Giorgio Pedrazzi, CINECA-SCAI School of Data Analytics and Visualisation Milan, 10/06/2015 Outline Hadoop Hadoop Import data on Hadoop Spark Spark features Scala MLlib MLlib
More informationUnderstanding Your Customer Journey by Extending Adobe Analytics with Big Data
SOLUTION BRIEF Understanding Your Customer Journey by Extending Adobe Analytics with Big Data Business Challenge Today s digital marketing teams are overwhelmed by the volume and variety of customer interaction
More informationMonitor Your Key Performance Indicators using WSO2 Business Activity Monitor
Published on WSO2 Inc (http://wso2.com) Home > Stories > Monitor Your Key Performance Indicators using WSO2 Business Activity Monitor Monitor Your Key Performance Indicators using WSO2 Business Activity
More informationTitolo del paragrafo. Titolo del documento - Sottotitolo documento The Benefits of Pushing Real-Time Market Data via a Web Infrastructure
1 Alessandro Alinone Agenda Introduction Push Technology: definition, typology, history, early failures Lightstreamer: 3rd Generation architecture, true-push Client-side push technology (Browser client,
More informationHadoop on Windows Azure: Hive vs. JavaScript for Processing Big Data
Hive vs. JavaScript for Processing Big Data For some time Microsoft didn t offer a solution for processing big data in cloud environments. SQL Server is good for storage, but its ability to analyze terabytes
More informationJReport Server Deployment Scenarios
JReport Server Deployment Scenarios Contents Introduction... 3 JReport Architecture... 4 JReport Server Integrated with a Web Application... 5 Scenario 1: Single Java EE Server with a Single Instance of
More informationI/O Considerations in Big Data Analytics
Library of Congress I/O Considerations in Big Data Analytics 26 September 2011 Marshall Presser Federal Field CTO EMC, Data Computing Division 1 Paradigms in Big Data Structured (relational) data Very
More informationWELCOME TO OPEN SOURCE STORAGE (OSS)
WELCOME TO OPEN SOURCE STORAGE (OSS) COMPLETE SOLUTIONS FOR YOUR DATA MANAGEMENT TM THE OSS DIFFERENTIATION FACTOR_ Open Source Storage is led by Eren Niazi, a technology visionary. He is the thought leader
More informationApache Storm vs. Spark Streaming Two Stream Processing Platforms compared
Apache Storm vs. Spark Streaming Two Stream Platforms compared DBTA Workshop on Stream Berne, 3.1.014 Guido Schmutz BASEL BERN BRUGG LAUSANNE ZÜRICH DÜSSELDORF FRANKFURT A.M. FREIBURG I.BR. HAMBURG MUNICH
More informationWisdom from Crowds of Machines
Wisdom from Crowds of Machines Analytics and Big Data Summit September 19, 2013 Chetan Conikee Irfan Ahmad About Us CloudPhysics' mission is to discover the underlying principles that govern systems behavior
More informationWEBAPP PATTERN FOR APACHE TOMCAT - USER GUIDE
WEBAPP PATTERN FOR APACHE TOMCAT - USER GUIDE Contents 1. Pattern Overview... 3 Features 3 Getting started with the Web Application Pattern... 3 Accepting the Web Application Pattern license agreement...
More informationTrend Micro Big Data Platform and Apache Bigtop. 葉 祐 欣 (Evans Ye) Big Data Conference 2015
Trend Micro Big Data Platform and Apache Bigtop 葉 祐 欣 (Evans Ye) Big Data Conference 2015 Who am I Apache Bigtop PMC member Apache Big Data Europe 2015 Speaker Software Engineer @ Trend Micro Develop big
More information3 Reasons Enterprises Struggle with Storm & Spark Streaming and Adopt DataTorrent RTS
. 3 Reasons Enterprises Struggle with Storm & Spark Streaming and Adopt DataTorrent RTS Deliver fast actionable business insights for data scientists, rapid application creation for developers and enterprise-grade
More informationHadoop. MPDL-Frühstück 9. Dezember 2013 MPDL INTERN
Hadoop MPDL-Frühstück 9. Dezember 2013 MPDL INTERN Understanding Hadoop Understanding Hadoop What's Hadoop about? Apache Hadoop project (started 2008) downloadable open-source software library (current
More informationApache Ignite TM (Incubating) - In- Memory Data Fabric Fast Data Meets Open Source
Apache Ignite TM (Incubating) - In- Memory Data Fabric Fast Data Meets Open Source DMITRIY SETRAKYAN Founder, PPMC http://www.ignite.incubator.apache.org @apacheignite @dsetrakyan Agenda About In- Memory
More informationArchitectures for massive data management
Architectures for massive data management Apache Spark Albert Bifet albert.bifet@telecom-paristech.fr October 20, 2015 Spark Motivation Apache Spark Figure: IBM and Apache Spark What is Apache Spark Apache
More informationREACTIVE systems [1] currently lie on the final frontier
1 Comparing Akka and Spring JMS Mati Vait Abstract Reactive systems [1] need to be built in a certain way. Specific requirements that they have, call for certain kinds of programming techniques and frameworks.
More informationLeveraging the Power of SOLR with SPARK. Johannes Weigend QAware GmbH Germany pache Big Data Europe September 2015
Leveraging the Power of SOLR with SPARK Johannes Weigend QAware GmbH Germany pache Big Data Europe September 2015 Welcome Johannes Weigend - CTO QAware GmbH - Software architect / developer - 25 years
More informationPreface. Motivation for this Book
Preface Asynchronous JavaScript and XML (Ajax or AJAX) is a web technique to transfer XML data between a browser and a server asynchronously. Ajax is a web technique, not a technology. Ajax is based on
More informationBayesian networks - Time-series models - Apache Spark & Scala
Bayesian networks - Time-series models - Apache Spark & Scala Dr John Sandiford, CTO Bayes Server Data Science London Meetup - November 2014 1 Contents Introduction Bayesian networks Latent variables Anomaly
More informationRakam: Distributed Analytics API
Rakam: Distributed Analytics API Burak Emre Kabakcı May 30, 2014 Abstract Today, most of the big data applications needs to compute data in real-time since the Internet develops quite fast and the users
More informationAn Industrial Perspective on the Hadoop Ecosystem. Eldar Khalilov Pavel Valov
An Industrial Perspective on the Hadoop Ecosystem Eldar Khalilov Pavel Valov agenda 03.12.2015 2 agenda Introduction 03.12.2015 2 agenda Introduction Research goals 03.12.2015 2 agenda Introduction Research
More informationLambda Architecture. Near Real-Time Big Data Analytics Using Hadoop. January 2015. Email: bdg@qburst.com Website: www.qburst.com
Lambda Architecture Near Real-Time Big Data Analytics Using Hadoop January 2015 Contents Overview... 3 Lambda Architecture: A Quick Introduction... 4 Batch Layer... 4 Serving Layer... 4 Speed Layer...
More informationHADOOP IN ENTERPRISE FUTURE-PROOF YOUR BIG DATA INVESTMENTS WITH CASCADING. Supreet Oberoi Nov. 4-6, 2014 Big Data Expo Santa Clara
DRIVING INNOVATION THROUGH DATA HADOOP IN ENTERPRISE FUTURE-PROOF YOUR BIG DATA INVESTMENTS WITH CASCADING Supreet Oberoi Nov. 4-6, 2014 Big Data Expo Santa Clara ABOUT ME I am a Data Engineer, not a Data
More informationTHE ENTERPRISE GAMING COOKBOOK
THE ENTERPRISE GAMING COOKBOOK Learn how game studios in our Ecosystem are using Bluemix to build the world s most advanced serious games We break down the web services needed to develop a variety of experiences
More informationDell* In-Memory Appliance for Cloudera* Enterprise
Built with Intel Dell* In-Memory Appliance for Cloudera* Enterprise Find out what faster big data analytics can do for your business The need for speed in all things related to big data is an enormous
More informationSource SOA JEFF DAVIS UNIVERSITATSB1BLIOTHEK HANNOVER TECHNISCHE INFORMATIONSBIBLIOTHEK MANNING. (74 w. long.) Greenwich
Source SOA JEFF DAVIS TECHNISCHE INFORMATIONSBIBLIOTHEK UNIVERSITATSB1BLIOTHEK HANNOVER 11 MANNING Greenwich (74 w. long.) contents preface xv acknowledgments xvii about this book xix Part I History and
More informationCS555: Distributed Systems [Fall 2015] Dept. Of Computer Science, Colorado State University
CS 555: DISTRIBUTED SYSTEMS [SPARK] Shrideep Pallickara Computer Science Colorado State University Frequently asked questions from the previous class survey Streaming Significance of minimum delays? Interleaving
More informationAbove the Clouds: Introducing Akka
Above the Clouds: Introducing Akka Jonas Bonér CTO Typesafe Email: jonas@typesafe.com Twitter: @jboner The problem It is way too hard to build: 1. correct highly concurrent systems 2. truly scalable systems
More informationExploring Oracle E-Business Suite Load Balancing Options. Venkat Perumal IT Convergence
Exploring Oracle E-Business Suite Load Balancing Options Venkat Perumal IT Convergence Objectives Overview of 11i load balancing techniques Load balancing architecture Scenarios to implement Load Balancing
More informationEmbedded Analytics & Big Data Visualization in Any App
Embedded Analytics & Big Data Visualization in Any App Boney Pandya Marketing Manager Greg Harris Systems Engineer Follow us @Jinfonet Our Mission Simplify the Complexity of Reporting and Visualization
More informationScalable and Reactive Programming for Semantic Web Developers
Proceedings of the ESWC2015 Developers Workshop 47 Scalable and Reactive Programming for Semantic Web Developers Jean-Paul Calbimonte LSIR Distributed Information Systems Lab, EPFL, Switzerland. firstname.lastname@epfl.ch
More informationAn Experimental Workflow Development Platform for Historical Document Digitisation and Analysis
An Experimental Workflow Development Platform for Historical Document Digitisation and Analysis Clemens Neudecker, Mustafa Dogan, Sven Schlarb (IMPACT) Paolo Missier, Shoaib Sufi, Alan Williams, Katy Wolstencroft
More informationOUR COURSES 19 November 2015. All prices are per person in Swedish Krona. Solid Beans AB Kungsgatan 32 411 19 Göteborg Sweden
OUR COURSES 19 November 2015 Solid Beans AB Kungsgatan 32 411 19 Göteborg Sweden Java for beginners JavaEE EJB 3.1 JSF (Java Server Faces) PrimeFaces Spring Core Spring Advanced Maven One day intensive
More informationA Brief Introduction to Apache Tez
A Brief Introduction to Apache Tez Introduction It is a fact that data is basically the new currency of the modern business world. Companies that effectively maximize the value of their data (extract value
More informationHadoop Ecosystem Overview. CMSC 491 Hadoop-Based Distributed Computing Spring 2015 Adam Shook
Hadoop Ecosystem Overview CMSC 491 Hadoop-Based Distributed Computing Spring 2015 Adam Shook Agenda Introduce Hadoop projects to prepare you for your group work Intimate detail will be provided in future
More informationWeb Cloud Architecture
Web Cloud Architecture Introduction to Software Architecture Jay Urbain, Ph.D. urbain@msoe.edu Credits: Ganesh Prasad, Rajat Taneja, Vikrant Todankar, How to Build Application Front-ends in a Service-Oriented
More informationWhat s next for the Berkeley Data Analytics Stack?
What s next for the Berkeley Data Analytics Stack? Michael Franklin June 30th 2014 Spark Summit San Francisco UC BERKELEY AMPLab: Collaborative Big Data Research 60+ Students, Postdocs, Faculty and Staff
More informationQuantifind s story: Building custom interactive data analytics infrastructure
Quantifind s story: Building custom interactive data analytics infrastructure Ryan LeCompte @ryanlecompte Scala Days 2015 Background Software Engineer at Quantifind @ryanlecompte ryan@quantifind.com http://github.com/ryanlecompte
More informationThe Learn-Verified Full Stack Web Development Program
The Learn-Verified Full Stack Web Development Program Overview This online program will prepare you for a career in web development by providing you with the baseline skills and experience necessary to
More informationITG Software Engineering
IBM WebSphere Administration 8.5 Course ID: Page 1 Last Updated 12/15/2014 WebSphere Administration 8.5 Course Overview: This 5 Day course will cover the administration and configuration of WebSphere 8.5.
More informationProfessional Hadoop Solutions
Brochure More information from http://www.researchandmarkets.com/reports/2542488/ Professional Hadoop Solutions Description: The go-to guidebook for deploying Big Data solutions with Hadoop Today's enterprise
More informationE6893 Big Data Analytics Lecture 2: Big Data Analytics Platforms
E6893 Big Data Analytics Lecture 2: Big Data Analytics Platforms Ching-Yung Lin, Ph.D. Adjunct Professor, Dept. of Electrical Engineering and Computer Science Mgr., Dept. of Network Science and Big Data
More informationINTERNET PROGRAMMING AND DEVELOPMENT AEC LEA.BN Course Descriptions & Outcome Competency
INTERNET PROGRAMMING AND DEVELOPMENT AEC LEA.BN Course Descriptions & Outcome Competency 1. 420-PA3-AB Introduction to Computers, the Internet, and the Web This course is an introduction to the computer,
More informationSpark Job Server. Evan Chan and Kelvin Chu. Date
Spark Job Server Evan Chan and Kelvin Chu Date Overview Why We Needed a Job Server Created at Ooyala in 2013 Our vision for Spark is as a multi-team big data service What gets repeated by every team: Bastion
More informationOpenbus Documentation
Openbus Documentation Release 1 Produban February 17, 2014 Contents i ii An open source architecture able to process the massive amount of events that occur in a banking IT Infraestructure. Contents:
More information2311A: Advanced Web Application Development using Microsoft ASP.NET Course 2311A Three days Instructor-led
2311A: Advanced Web Application Development using Microsoft ASP.NET Course 2311A Three days Instructor-led Introduction This three-day, instructor-led course provides students with the knowledge and skills
More informationSpark ΕΡΓΑΣΤΗΡΙΟ 10. Prepared by George Nikolaides 4/19/2015 1
Spark ΕΡΓΑΣΤΗΡΙΟ 10 Prepared by George Nikolaides 4/19/2015 1 Introduction to Apache Spark Another cluster computing framework Developed in the AMPLab at UC Berkeley Started in 2009 Open-sourced in 2010
More informationPulsar Realtime Analytics At Scale. Tony Ng April 14, 2015
Pulsar Realtime Analytics At Scale Tony Ng April 14, 2015 Big Data Trends Bigger data volumes More data sources DBs, logs, behavioral & business event streams, sensors Faster analysis Next day to hours
More informationAdvanced Web Application Development using Microsoft ASP.NET
Key Data Course #: 2311A Number of Days: 3 Format: Instructor-Led Certification Exams: Exam 70-305: Developing and Implementing Web Applications with Microsoft Visual Basic.NET and Microsoft Visual Studio.NET
More informationHiBench Introduction. Carson Wang (carson.wang@intel.com) Software & Services Group
HiBench Introduction Carson Wang (carson.wang@intel.com) Agenda Background Workloads Configurations Benchmark Report Tuning Guide Background WHY Why we need big data benchmarking systems? WHAT What is
More informationJVM Performance Study Comparing Oracle HotSpot and Azul Zing Using Apache Cassandra
JVM Performance Study Comparing Oracle HotSpot and Azul Zing Using Apache Cassandra January 2014 Legal Notices Apache Cassandra, Spark and Solr and their respective logos are trademarks or registered trademarks
More informationBig Data Analysis: Apache Storm Perspective
Big Data Analysis: Apache Storm Perspective Muhammad Hussain Iqbal 1, Tariq Rahim Soomro 2 Faculty of Computing, SZABIST Dubai Abstract the boom in the technology has resulted in emergence of new concepts
More informationHYBRID. Course Packet
HYBRID Course Packet TABLE OF CONTENTS 2 HYBRID Overview 3 Schedule 4 Prerequisites 5 Admissions Process 6 What is a Full Stack? 7 Why Become a Full Stack Developer? 8 Inside the 3 Full Stacks: LAMP 9
More informationIntegrate Master Data with Big Data using Oracle Table Access for Hadoop
Integrate Master Data with Big Data using Oracle Table Access for Hadoop Kuassi Mensah Oracle Corporation Redwood Shores, CA, USA Keywords: Hadoop, BigData, Hive SQL, Spark SQL, HCatalog, StorageHandler
More informationOracle Big Data Building A Big Data Management System
Oracle Big Building A Big Management System Copyright 2015, Oracle and/or its affiliates. All rights reserved. Effi Psychogiou ECEMEA Big Product Director May, 2015 Safe Harbor Statement The following
More informationUsing an In-Memory Data Grid for Near Real-Time Data Analysis
SCALEOUT SOFTWARE Using an In-Memory Data Grid for Near Real-Time Data Analysis by Dr. William Bain, ScaleOut Software, Inc. 2012 ScaleOut Software, Inc. 12/27/2012 IN today s competitive world, businesses
More informationHadoop Ecosystem B Y R A H I M A.
Hadoop Ecosystem B Y R A H I M A. History of Hadoop Hadoop was created by Doug Cutting, the creator of Apache Lucene, the widely used text search library. Hadoop has its origins in Apache Nutch, an open
More informationBig Graph Analytics on Neo4j with Apache Spark. Michael Hunger Original work by Kenny Bastani Berlin Buzzwords, Open Stage
Big Graph Analytics on Neo4j with Apache Spark Michael Hunger Original work by Kenny Bastani Berlin Buzzwords, Open Stage My background I only make it to the Open Stages :) Probably because Apache Neo4j
More informationUnified Big Data Processing with Apache Spark. Matei Zaharia @matei_zaharia
Unified Big Data Processing with Apache Spark Matei Zaharia @matei_zaharia What is Apache Spark? Fast & general engine for big data processing Generalizes MapReduce model to support more types of processing
More information