Maximizing Your MarkLogic and Java Investments Scott A. Stafford, Principal Sales Engineer, MarkLogic
|
|
- Nickolas Lang
- 5 years ago
- Views:
Transcription
1 Maximizing Your MarkLogic and Java Investments Scott A. Stafford, Principal Sales Engineer, MarkLogic COPYRIGHT 13 June 2017MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
2 Photo attributed to smittenkitchen.com SLIDE: 2
3 Photo attributed to smittenkitchen.com SLIDE: 3
4 Photo attributed to disgruntled husband who had to clean oven SLIDE: 4
5 MarkLogic Java Recipes Build and Deploy Run automated testing Load data from a relational database Demo BAM! SLIDE: 5
6 SLIDE: 6
7 REST API SLIDE: 7
8 JAVA CLIENT API REST API SLIDE: 8
9 Build and Deploy
10 MarkLogic v4.1 v5 v6 v7 v8 v9 Mgmt API 1.0 (Read) Client API 1.0 Mgmt API 2.0 (Read/Write) Mgmt API 2.0 (Read/Write) Java Client API v1.0 v2.0 v3.0 v4.0 Mgmt API 2.0 (Read/Write) Content Pump v1.0 v7 v8 v9 Roxy v1.0 v1.5 v1.75 CORB v1.0 v2.0 v2.2 v2.3.2 ml-app-deployer v1.0 v2.6 ml-gradlle v1.0 v2.6 SLIDE: 10
11 HTTP Wrapper Management REST API SLIDE: 11
12 Configuration Coordinator HTTP Wrapper Management REST API SLIDE: 12
13 #!/bin/bash Management REST API SLIDE: 13
14 MarkLogic Python API Management REST API SLIDE: 14
15 Configuration Coordinator ml-app-deployer <java> Management REST API SLIDE: 15
16 ml-app-deployer <java> Management REST API SLIDE: 16
17 java application maven ml-gradle ml-app-deployer Management REST API SLIDE: 17
18 Run automated testing
19 Single Deploy Configuration cookbook:8200 cookbook-modules cookbook-content SLIDE: 19
20
21 Single Deploy Configuration cookbook:8200 XML cookbook-modules cookbook-content SLIDE: 21
22 Single Deploy Configuration cookbook:8200 XML XML cookbook-modules cookbook-content SLIDE: 22
23 Multiple Deploy Configuration Local Deploy cookbook:8200 CI Deploy cookbook-test:8201 cookbook-modules TEST DELETE REPEAT cookbook-content cookbook-test-content SLIDE: 23
24 Use Spring to inject DatabaseClient Remove documents from database before test execution SLIDE: 24
25 Load data from a relational database
26 CONTENT PUMP SLIDE: 26
27 SLIDE: 27
28 Performance Status Reliable Failover SLIDE: 28
29 Basic Job Life-Cycle DataMovement-Based Java Application MarkLogic Cluster Create, Configure, Start Job Threads ML Host Batcher Work Batcher Work Response ML Host Notifications Respose ML Host Listeners-sepcific action Listeners SLIDE: 29
30 SLIDE: 30
31 Demo Time!
32 RECAP MarkLogic Java Recipes Build and Deploy Run automated testing Load data from a relational database SLIDE: 32
33 Scott Stafford SLIDE: 33
34 Backup/Brainstorm
35 MarkLogic Architectures Three Tier - Spring Boot Powered Front End, Spring MVC, MarkLogic Orchestration Framework ingestion/streaming - MarkLogic Spring Batch Microservices - Apache Kafka + MarkLogic SLIDE: 35
36 ROADMAP Continuous Innovation MarkLogic 2 Clustering Document collections Enhanced search (stemming, thesaurus, wildcard) WebDAV support Document locking Backup and restore MarkLogic 3.1 Wildcard queries Directories Forward compatibility XML Contentbase Connector (XCC) 2005 MarkLogic Replication Failover Database Rollback Compartment Security Search Optimizations Search API REST capabilities SSL support Schema Validation Japanese added MarkLogic 6 Accessibility SQL/BI Java/REST/JSON UDFs/Analytics mlcp Hadoop updates MarkLogic 8 JSON storage Server-side JavaScript Semantics Bitemporal Samplestack Java Client API Node.js Client API Management API Incremental backup Flexible replication Enhanced HTTP Server 2015 Cerisent XQE Server 1 ACID transactions Text-based search Linux support Web-based protocols HTTP and XDBC XQuery XDBC support Role-based security MarkLogic 3 Advanced Search Content Processing (including PDF, Word, Excel, PPT) HTTP calls Support for Linux, Windows Server,.NET Facets, co-occur., value lexicons, bucketing Failover MarkLogic 4 Alerting Entity enrichment Geospatial Modular documents Security auditing HA: forest-level failover MarkLogic 5 Database Replication Multi-statement and distributed transactions Point-in-time recovery Search API enhanced Monitoring API/Dashboard Hadoop Integration MarkLogic 7 Semantics foundation Next-gen infrastructure support Elasticity Tiered storage Run on HDFS SLIDE: 36
37 CI Process 1. Deploy container with fresh MarkLogic install 2. Run gradle commands for MarkLogic initialization (mlinit, mlinstalladmin) 3. Load application system data (taxonomies, lookups, system data) 4. Deploy container with middle tier (i.e. Spring Boot, nginx, nodejs) 5. Run tests (gradle test) 6. Run user interface tests SLIDE: 37
38
39 One HTTP request per document to a single host
40 DMSDK
41 Application Context Reader Processor Writer Application Context
42 INITIALIZATION READER PROCESSOR WRITER POST PROCSESING
43 SLIDE: 43
44 [ hip, hip ]
45 SLIDE: 45
46 Get a gallon of milk If (eggs == true) { null; } Get a dozen SLIDE: 46
47 Some people, when confronted with a problem, think, 'I know, I'll use threads' - and then two they hav erpoblesms.
48 Immutability changes everything
49 Knock knock. Race condition. Who's there?
50 There are only two hard problems in distributed systems: 2. Exactly-once delivery 1. Guaranteed order of messages 2. Exactly-once delivery
MarkLogic 8 Overview of Key Features COPYRIGHT 2014 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
MarkLogic 8 Overview of Key Features Enterprise NoSQL Database Platform Flexible Data Model Store and manage JSON, XML, RDF, and Geospatial data with a documentcentric, schemaagnostic database Search and
More informationMarkLogic Server. Administrator s Guide. MarkLogic 9 May, Copyright 2017 MarkLogic Corporation. All rights reserved.
Administrator s Guide 1 MarkLogic 9 May, 2017 Last Revised: 9.0-3, September, 2017 Copyright 2017 MarkLogic Corporation. All rights reserved. Table of Contents Table of Contents Administrator s Guide 1.0
More informationMarkLogic Server. Security Guide. MarkLogic 9 May, Copyright 2017 MarkLogic Corporation. All rights reserved.
Security Guide 1 MarkLogic 9 May, 2017 Last Revised: 9.0-3, September, 2017 Copyright 2017 MarkLogic Corporation. All rights reserved. Table of Contents Table of Contents Security Guide 1.0 Introduction
More informationMarkLogic Server. Reference Application Architecture Guide. MarkLogic 9 May, Copyright 2017 MarkLogic Corporation. All rights reserved.
Reference Application Architecture Guide 1 MarkLogic 9 May, 2017 Last Revised: 9.0-1, May, 2017 Copyright 2017 MarkLogic Corporation. All rights reserved. Table of Contents Table of Contents Reference
More informationStudy Guide. MarkLogic Professional Certification. Taking a Written Exam. General Preparation. Developer Written Exam Guide
Study Guide MarkLogic Professional Certification Taking a Written Exam General Preparation Developer Written Exam Guide Administrator Written Exam Guide Example Written Exam Questions Hands-On Exam Overview
More informationConfiguration Management. Norman Walsh, Lead Engineer 01 May 2012
Configuration Management Norman Walsh, Lead Engineer 01 May 2012 Introduction Motivation What is the current configuration of this cluster? Is this cluster the same as that one? How are they different?
More informationMarkLogic Server. Java Application Developer s Guide. MarkLogic 9 May, Copyright 2017 MarkLogic Corporation. All rights reserved.
Java Application Developer s Guide 1 MarkLogic 9 May, 2017 Last Revised: 9.0-3, October, 2017 Copyright 2017 MarkLogic Corporation. All rights reserved. Table of Contents Table of Contents Java Application
More informationRunning MarkLogic in Containers (Both Docker and Kubernetes)
Running MarkLogic in Containers (Both Docker and Kubernetes) Emma Liu Product Manager, MarkLogic Vitaly Korolev Staff QA Engineer, MarkLogic @vitaly_korolev 4 June 2018 MARKLOGIC CORPORATION Source: http://turnoff.us/image/en/tech-adoption.png
More informationJUMPSTART: THE BASICS FOR GETTING STARTED WITH MARKLOGIC Ruth Stryker, Senior Courseware Developer and Technical Instructor, MarkLogic
JUMPSTART: THE BASICS FOR GETTING STARTED WITH MARKLOGIC Ruth Stryker, Senior Courseware Developer and Technical Instructor, MarkLogic So we know that MarkLogic Is an enterprise NoSQL database Can be used
More informationDeveloping Microsoft Azure Solutions (70-532) Syllabus
Developing Microsoft Azure Solutions (70-532) Syllabus Cloud Computing Introduction What is Cloud Computing Cloud Characteristics Cloud Computing Service Models Deployment Models in Cloud Computing Advantages
More informationRealtime visitor analysis with Couchbase and Elasticsearch
Realtime visitor analysis with Couchbase and Elasticsearch Jeroen Reijn @jreijn #nosql13 About me Jeroen Reijn Software engineer Hippo @jreijn http://blog.jeroenreijn.com About Hippo Visitor Analysis OneHippo
More informationREGULATORY REPORTING FOR FINANCIAL SERVICES
REGULATORY REPORTING FOR FINANCIAL SERVICES Gordon Hughes, Global Sales Director, Intel Corporation Sinan Baskan, Solutions Director, Financial Services, MarkLogic Corporation Many regulators and regulations
More informationBEYOND THE RDBMS: WORKING WITH RELATIONAL DATA IN MARKLOGIC
BEYOND THE RDBMS: WORKING WITH RELATIONAL DATA IN MARKLOGIC Rob Rudin, Solutions Specialist, MarkLogic Agenda Introduction The problem getting relational data into MarkLogic Demo how to do this SLIDE:
More informationDistributed Content Processing in MarkLogic
Distributed Content Processing in MarkLogic Olav Schwering, Senior Technical Consultant 2nd May 2012 Slide 1 MarkLogic version Some features that have been introduced with version 5 could have been helpful
More informationMicroservices mit Java, Spring Boot & Spring Cloud. Eberhard Wolff
Microservices mit Java, Spring Boot & Spring Cloud Eberhard Wolff Fellow @ewolff What are Microservices? Micro Service: Definition > Small > Independent deployment units > i.e. processes or VMs > Any technology
More informationMarkLogic Server. Release Notes. MarkLogic 7 November, Copyright 2016 MarkLogic Corporation. All rights reserved.
Release Notes 1 MarkLogic 7 November, 2013 Last Revised: 7.0-6, January, 2016 Copyright 2016 MarkLogic Corporation. All rights reserved. Table of Contents Table of Contents Release Notes 1.0 Introduction...6
More informationA Distributed System Case Study: Apache Kafka. High throughput messaging for diverse consumers
A Distributed System Case Study: Apache Kafka High throughput messaging for diverse consumers As always, this is not a tutorial Some of the concepts may no longer be part of the current system or implemented
More informationDeveloping Microsoft Azure Solutions (70-532) Syllabus
Developing Microsoft Azure Solutions (70-532) Syllabus Cloud Computing Introduction What is Cloud Computing Cloud Characteristics Cloud Computing Service Models Deployment Models in Cloud Computing Advantages
More informationSunday, May 1,
1 Governing Services, Data, Rules, Processes and more Randall Hauch Project Lead, ModeShape Kurt Stam Project Lead, Guvnor @rhauch @modeshape @guvtalk 2 Scenario 1 Build business processes using existing
More informationMarkLogic Technology Briefing
MarkLogic Technology Briefing Edd Patterson CTO/VP Systems Engineering, Americas Slide 1 Agenda Introductions About MarkLogic MarkLogic Server Deep Dive Slide 2 MarkLogic Overview Company Highlights Headquartered
More informationMarkLogic Server. Database Replication Guide. MarkLogic 6 September, Copyright 2012 MarkLogic Corporation. All rights reserved.
Database Replication Guide 1 MarkLogic 6 September, 2012 Last Revised: 6.0-1, September, 2012 Copyright 2012 MarkLogic Corporation. All rights reserved. Database Replication Guide 1.0 Database Replication
More informationModern Stream Processing with Apache Flink
1 Modern Stream Processing with Apache Flink Till Rohrmann GOTO Berlin 2017 2 Original creators of Apache Flink da Platform 2 Open Source Apache Flink + da Application Manager 3 What changes faster? Data
More informationWHITEPAPER. MemSQL Enterprise Feature List
WHITEPAPER MemSQL Enterprise Feature List 2017 MemSQL Enterprise Feature List DEPLOYMENT Provision and deploy MemSQL anywhere according to your desired cluster configuration. On-Premises: Maximize infrastructure
More informationEnterprise Open Source Databases
Enterprise Open Source Databases WHITE PAPER MariaDB vs. Oracle MySQL vs. EnterpriseDB MariaDB TX Born of the community. Raised in the enterprise. MariaDB TX, with a history of proven enterprise reliability
More informationMastering Data Access with the Optic API & Template-Driven Extraction
Mastering Data Access with the Optic API & Template-Driven Extraction Erik Hennum, Principal Engineer, MarkLogic Fayez Saliba, Staff Engineer, MarkLogic COPYRIGHT 13 June 2017MARKLOGIC CORPORATION. ALL
More informationMarkLogic Server. Glossary, Copyright, and Support. MarkLogic 9 May, Copyright 2018 MarkLogic Corporation. All rights reserved.
, Copyright, and Support 1 MarkLogic 9 May, 2017 Last Revised: 9.0-4, January, 2018 Copyright 2018 MarkLogic Corporation. All rights reserved. Table of Contents Table of Contents, Copyright, and Support
More informationJava Architectures A New Hope. Eberhard Wolff
Java Architectures A New Hope Eberhard Wolff http://ewolff.com What happens with a talk titled like this? Architecture of Enterprise Java Apps How can I implement a new feature??? ! ECommerce System
More informationArcGIS for Server: Administration and Security. Amr Wahba
ArcGIS for Server: Administration and Security Amr Wahba awahba@esri.com Agenda ArcGIS Server architecture Distributing and scaling components Implementing security Monitoring server logs Automating server
More informationMarkLogic Server. Database Replication Guide. MarkLogic 9 May, Copyright 2017 MarkLogic Corporation. All rights reserved.
Database Replication Guide 1 MarkLogic 9 May, 2017 Last Revised: 9.0-3, September, 2017 Copyright 2017 MarkLogic Corporation. All rights reserved. Table of Contents Table of Contents Database Replication
More informationMarkLogic Server. Flexible Replication Guide. MarkLogic 9 May, Copyright 2018 MarkLogic Corporation. All rights reserved.
Flexible Replication Guide 1 MarkLogic 9 May, 2017 Last Revised: 9.0-1, May, 2017 Copyright 2018 MarkLogic Corporation. All rights reserved. Table of Contents Table of Contents Flexible Replication Guide
More informationMaintaining a Microsoft SQL Server 2005 Database Course 2780: Three days; Instructor-Led
Maintaining a Microsoft SQL Server 2005 Database Course 2780: Three days; Instructor-Led Introduction This three-day instructor-led course provides students with product knowledge and skills needed to
More informationDeep Dive Amazon Kinesis. Ian Meyers, Principal Solution Architect - Amazon Web Services
Deep Dive Amazon Kinesis Ian Meyers, Principal Solution Architect - Amazon Web Services Analytics Deployment & Administration App Services Analytics Compute Storage Database Networking AWS Global Infrastructure
More informationMarkLogic Server. Application Developer s Guide. MarkLogic 9 May, Last Revised: 9.0-4, January 2018
Application Developer s Guide 1Application Developer s Guide MarkLogic 9 May, 2017 Last Revised: 9.0-4, January 2018 Copyright 2018 MarkLogic Corporation. All rights reserved. Table of Contents Table of
More informationWeb and API Apps in Azure
4 th November 2015 Web and API Apps in Azure Vishesh Vish Oberoi Technical Evangelist, Microsoft @ovishesh visho@microsoft.com Microsoft Student Accelerator Student Internships over Summer Innovative
More informationSAS Viya Platform: VDMML, Open APIs, Etc.
SAS Viya Platform: VDMML, Open APIs, Etc. Mike Frost Sr. Manager, Product Management SAS #AnalyticsX UNIFYING OUR ARCHITECTURE 2010 Development Timelines SAS High-Performance Architecture 2011 2013 SAS
More informationMarkLogic Server. Node.js Application Developer s Guide. MarkLogic 8 February, Copyright 2016 MarkLogic Corporation. All rights reserved.
Node.js Application Developer s Guide 1 MarkLogic 8 February, 2015 Last Revised: 8.0-5, March, 2016 Copyright 2016 MarkLogic Corporation. All rights reserved. Table of Contents Table of Contents Node.js
More informationDeveloping Microsoft Azure Solutions (70-532) Syllabus
Developing Microsoft Azure Solutions (70-532) Syllabus Cloud Computing Introduction What is Cloud Computing Cloud Characteristics Cloud Computing Service Models Deployment Models in Cloud Computing Advantages
More informationebay s Architectural Principles
ebay s Architectural Principles Architectural Strategies, Patterns, and Forces for Scaling a Large ecommerce Site Randy Shoup ebay Distinguished Architect QCon London 2008 March 14, 2008 What we re up
More information@joerg_schad Nightmares of a Container Orchestration System
@joerg_schad Nightmares of a Container Orchestration System 2017 Mesosphere, Inc. All Rights Reserved. 1 Jörg Schad Distributed Systems Engineer @joerg_schad Jan Repnak Support Engineer/ Solution Architect
More informationMaking Non-Distributed Databases, Distributed. Ioannis Papapanagiotou, PhD Shailesh Birari
Making Non-Distributed Databases, Distributed Ioannis Papapanagiotou, PhD Shailesh Birari Dynomite Ecosystem Dynomite - Proxy layer Dyno - Client Dynomite-manager - Ecosystem orchestrator Dynomite-explorer
More informationIncrease Value from Big Data with Real-Time Data Integration and Streaming Analytics
Increase Value from Big Data with Real-Time Data Integration and Streaming Analytics Cy Erbay Senior Director Striim Executive Summary Striim is Uniquely Qualified to Solve the Challenges of Real-Time
More informationOverview. Prerequisites. Course Outline. Course Outline :: Apache Spark Development::
Title Duration : Apache Spark Development : 4 days Overview Spark is a fast and general cluster computing system for Big Data. It provides high-level APIs in Scala, Java, Python, and R, and an optimized
More informationMarkLogic Server. Concepts Guide. MarkLogic 9 May, Copyright 2018 MarkLogic Corporation. All rights reserved.
Concepts Guide 1 MarkLogic 9 May, 2017 Last Revised: 9.0-4, January, 2018 Copyright 2018 MarkLogic Corporation. All rights reserved. Table of Contents Table of Contents Concepts Guide 1.0 Overview of MarkLogic
More informationStreaming data Model is opposite Queries are usually fixed and data are flows through the system.
1 2 3 Main difference is: Static Data Model (For related database or Hadoop) Data is stored, and we just send some query. Streaming data Model is opposite Queries are usually fixed and data are flows through
More informationAPI-First: An Agile Approach to Data Management ERIK HENNUM
API-First: An Agile Approach to Data Management ERIK HENNUM Principal Engineer, MarkLogic @ehennum 4 June 2018 MARKLOGIC CORPORATION Stress on the business Excess inventory levels Competitive pressure
More informationAt Course Completion Prepares you as per certification requirements for AWS Developer Associate.
[AWS-DAW]: AWS Cloud Developer Associate Workshop Length Delivery Method : 4 days : Instructor-led (Classroom) At Course Completion Prepares you as per certification requirements for AWS Developer Associate.
More informationebay Marketplace Architecture
ebay Marketplace Architecture Architectural Strategies, Patterns, and Forces Randy Shoup, ebay Distinguished Architect QCon SF 2007 November 9, 2007 What we re up against ebay manages Over 248,000,000
More informationEvent Streams using Apache Kafka
Event Streams using Apache Kafka And how it relates to IBM MQ Andrew Schofield Chief Architect, Event Streams STSM, IBM Messaging, Hursley Park Event-driven systems deliver more engaging customer experiences
More informationModernization and how to implement Digital Transformation. Jarmo Nieminen Sales Engineer, Principal
Modernization and how to implement Digital Transformation Jarmo Nieminen Sales Engineer, Principal jarmo.nieminen@progress.com 2 Reinvented 8000 years old tool...? Leveraxe!! 3 In this Digital Economy...
More informationNPP & Blockchain Have you thought about the data? Ken Krupa, CTO, MarkLogic
NPP & Blockchain Have you thought about the data? Ken Krupa, CTO, MarkLogic Hello SLIDE: 2 14 COPYRIGHT November 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. A QUICK LOOK New Payments Platform Open
More informationAzure Certification BootCamp for Exam (Developer)
Azure Certification BootCamp for Exam 70-532 (Developer) Course Duration: 5 Days Course Authored by CloudThat Description Microsoft Azure is a cloud computing platform and infrastructure created for building,
More informationBlended Learning Outline: Developer Training for Apache Spark and Hadoop (180404a)
Blended Learning Outline: Developer Training for Apache Spark and Hadoop (180404a) Cloudera s Developer Training for Apache Spark and Hadoop delivers the key concepts and expertise need to develop high-performance
More informationScience-as-a-Service
Science-as-a-Service The iplant Foundation Rion Dooley Edwin Skidmore Dan Stanzione Steve Terry Matthew Vaughn Outline Why, why, why! When duct tape isn t enough Building an API for the web Core services
More information17/05/2017. What we ll cover. Who is Greg? Why PaaS and SaaS? What we re not discussing: IaaS
What are all those Azure* and Power* services and why do I want them? Dr Greg Low SQL Down Under greg@sqldownunder.com Who is Greg? CEO and Principal Mentor at SDU Data Platform MVP Microsoft Regional
More informationConfiguring and Deploying a Private Cloud DURATION: Days
Configuring and Deploying a Private Cloud DURATION: Days DESCRIPTION This course equips students with the skills they require to configure and deploy a cloud using Microsoft System Center 2012 R2. OBJECTIVE
More informationMySQL High Availability
MySQL High Availability InnoDB Cluster and NDB Cluster Ted Wennmark ted.wennmark@oracle.com Copyright 2016, Oracle and/or its its affiliates. All All rights reserved. Safe Harbor Statement The following
More informationDOCKER 101 FOR JS AFFICIONADOS. Christian Ulbrich, Zalari UG
DOCKER 101 FOR JS AFFICIONADOS Christian Ulbrich, Zalari UG AGENDA Docker what is all the craze about? Docker is hard One-Liners Orchestration Outlook Links DOCKER WTF? DOCKER WTF? Docker is light-weight
More informationMarkLogic Server. mlcp User Guide. MarkLogic 9 May, Copyright 2018 MarkLogic Corporation. All rights reserved.
mlcp User Guide 1 MarkLogic 9 May, 2017 Last Revised: 9.0-4, January 2018 Copyright 2018 MarkLogic Corporation. All rights reserved. Table of Contents Table of Contents mlcp User Guide 1.0 Introduction
More informationActive Endpoints. ActiveVOS Platform Architecture Active Endpoints
Active Endpoints ActiveVOS Platform Architecture ActiveVOS Unique process automation platforms to develop, integrate, and deploy business process applications quickly User Experience Easy to learn, use
More informationModern Datacenter Architecture Patterns - Foundational
Modern Datacenter Architecture Patterns - Foundational Azure Search Tier 25-Mar-15 Version 1.0 Prepared by Liam Cavanagh, Mark Massad, Tom Shinder i Revision and Signoff Sheet Change Record Date Author
More informationMarkLogic Server. Application Developer s Guide. MarkLogic 7 November, Last Revised: 7.0-6, January, 2016
Application Developer s Guide 1Application Developer s Guide MarkLogic 7 November, 2013 Last Revised: 7.0-6, January, 2016 Copyright 2016 MarkLogic Corporation. All rights reserved. Table of Contents Table
More information/ Cloud Computing. Recitation 5 February 14th, 2017
15-319 / 15-619 Cloud Computing Recitation 5 February 14th, 2017 1 Overview Administrative issues Office Hours, Piazza guidelines Last week s reflection Project 2.1, OLI Unit 2 modules 5 and 6 This week
More informationLet s say that hosting a cloudbased application is like car ownership
Let s say that hosting a cloudbased application is like car ownership Azure App Service App Service Features & Capabilities All features and capabilities are shared across all of App Service application
More informationIBM Planning Analytics Workspace Local Distributed Soufiane Azizi. IBM Planning Analytics
IBM Planning Analytics Workspace Local Distributed Soufiane Azizi IBM Planning Analytics IBM Canada - Cognos Ottawa Lab. IBM Planning Analytics Agenda 1. Demo PAW High Availability on a Prebuilt Swarm
More informationThe Evolution of Big Data Platforms and Data Science
IBM Analytics The Evolution of Big Data Platforms and Data Science ECC Conference 2016 Brandon MacKenzie June 13, 2016 2016 IBM Corporation Hello, I m Brandon MacKenzie. I work at IBM. Data Science - Offering
More informationMicrosoft Big Data and Hadoop
Microsoft Big Data and Hadoop Lara Rubbelke @sqlgal Cindy Gross @sqlcindy 2 The world of data is changing The 4Vs of Big Data http://nosql.mypopescu.com/post/9621746531/a-definition-of-big-data 3 Common
More informationOracle 10g and IPv6 IPv6 Summit 11 December 2003
Oracle 10g and IPv6 IPv6 Summit 11 December 2003 Marshal Presser Principal Enterprise Architect Oracle Corporation Agenda Oracle Distributed Computing Role of Networking IPv6 Support Plans Early IPv6 Implementations
More informationExam : Implementing Microsoft Azure Infrastructure Solutions
Exam 70-533: Implementing Microsoft Azure Infrastructure Solutions Objective Domain Note: This document shows tracked changes that are effective as of January 18, 2018. Design and Implement Azure App Service
More informationThe course modules of MongoDB developer and administrator online certification training:
The course modules of MongoDB developer and administrator online certification training: 1 An Overview of the Course Introduction to the course Table of Contents Course Objectives Course Overview Value
More informationIngress Kubernetes Tutorial
Ingress Kubernetes Tutorial 1 / 6 2 / 6 3 / 6 Ingress Kubernetes Tutorial Edit This Page. Ingress. An API object that manages external access to the services in a cluster, typically HTTP. Ingress can provide
More informationMonitoring and Operating a Private Cloud with System Center 2012 (70-246) Course Outline Module 1: Introduction to the Private Cloud
Monitoring and Operating a Private Cloud with System Center 2012 10750 246 Configuring and Deploying a Private Cloud with System Center 2012 10751 247 Duration : 40 Hrs /module Course 10750A: Monitoring
More informationRoadmap to Cloud with Cloud Application Foundation
Roadmap to Cloud with Cloud Application Foundation Maciej Gruszka Oracle FMW PM, EMEA Copyright 2014, Oracle and/or its affiliates. All rights reserved. Safe Harbor Statement The preceding is intended
More informationWhy software defined storage matters? Sergey Goncharov Solution Architect, Red Hat
Why software defined storage matters? Sergey Goncharov Solution Architect, Red Hat sgonchar@redhat.com AGENDA Storage and Datacenter evolution Red Hat Storage portfolio Red Hat Gluster Storage Red Hat
More informationMarkLogic Server Glossary, Copyright, and Support
, Copyright, and Support 1 MarkLogic 8 February, 2015 Last Revised: 8.0-8, January, 2018 Table of Contents Table of Contents, Copyright, and Support 1.0...2 2.0 Technical Support...49 3.0 Copyright...50
More informationApp Service Overview. Rand Pagels Azure Technical Specialist - Application Development US Great Lakes Region
App Service Overview Quickly create powerful cloud apps using a fully-managed platform Rand Pagels Azure Technical Specialist - Application Development US Great Lakes Region Security & Management Platform
More informationOracle Big Data Connectors
Oracle Big Data Connectors Oracle Big Data Connectors is a software suite that integrates processing in Apache Hadoop distributions with operations in Oracle Database. It enables the use of Hadoop to process
More informationMASTERS COURSE IN FULL STACK WEB APPLICATION DEVELOPMENT W W W. W E B S T A C K A C A D E M Y. C O M
MASTERS COURSE IN FULL STACK WEB APPLICATION DEVELOPMENT W W W. W E B S T A C K A C A D E M Y. C O M COURSE OBJECTIVES Enable participants to develop a complete web application from the scratch that includes
More informationGo Faster: Containers, Platforms and the Path to Better Software Development (Including Live Demo)
RED HAT DAYS VANCOUVER Go Faster: Containers, Platforms and the Path to Better Software Development (Including Live Demo) Paul Armstrong Principal Solutions Architect Gerald Nunn Senior Middleware Solutions
More informationDATA SCIENCE USING SPARK: AN INTRODUCTION
DATA SCIENCE USING SPARK: AN INTRODUCTION TOPICS COVERED Introduction to Spark Getting Started with Spark Programming in Spark Data Science with Spark What next? 2 DATA SCIENCE PROCESS Exploratory Data
More informationMarkLogic Server. Installation Guide for All Platforms. MarkLogic 9 May, Copyright 2018 MarkLogic Corporation. All rights reserved.
Installation Guide for All Platforms 1 MarkLogic 9 May, 2017 Last Revised: 9.0-4, January, 2018 Copyright 2018 MarkLogic Corporation. All rights reserved. Table of Contents Table of Contents Installation
More informationAmazon Web Services (AWS) Solutions Architect Intermediate Level Course Content
Amazon Web Services (AWS) Solutions Architect Intermediate Level Course Content Introduction to Cloud Computing A Short history Client Server Computing Concepts Challenges with Distributed Computing Introduction
More informationContainer 2.0. Container: check! But what about persistent data, big data or fast data?!
@unterstein @joerg_schad @dcos @jaxdevops Container 2.0 Container: check! But what about persistent data, big data or fast data?! 1 Jörg Schad Distributed Systems Engineer @joerg_schad Johannes Unterstein
More informationRed Hat Enterprise Virtualization (RHEV) Backups by SEP
Red Hat Enterprise Virtualization (RHEV) Backups by SEP info@sepusa.com www.sepusa.com Table of Contents INTRODUCTION AND OVERVIEW AGENT BASED BACKUP IMAGE LEVEL BACKUP VIA RHEV API RHEV BACKUP WITH SEP
More informationAlexander Klein. #SQLSatDenmark. ETL meets Azure
Alexander Klein ETL meets Azure BIG Thanks to SQLSat Denmark sponsors Save the date for exiting upcoming events PASS Camp 2017 Main Camp 05.12. 07.12.2017 (04.12. Kick-Off abends) Lufthansa Training &
More informationAWS Lambda. 1.1 What is AWS Lambda?
Objectives Key objectives of this chapter Lambda Functions Use cases The programming model Lambda blueprints AWS Lambda 1.1 What is AWS Lambda? AWS Lambda lets you run your code written in a number of
More informationDistributed Data on Distributed Infrastructure. Claudius Weinberger & Kunal Kusoorkar, ArangoDB Jörg Schad, Mesosphere
Distributed Data on Distributed Infrastructure Claudius Weinberger & Kunal Kusoorkar, ArangoDB Jörg Schad, Mesosphere Kunal Kusoorkar Director Solutions Engineering, ArangoDB @neunhoef Jörg Schad Claudius
More informationSecurity and Performance advances with Oracle Big Data SQL
Security and Performance advances with Oracle Big Data SQL Jean-Pierre Dijcks Oracle Redwood Shores, CA, USA Key Words SQL, Oracle, Database, Analytics, Object Store, Files, Big Data, Big Data SQL, Hadoop,
More informationCO MySQL for Database Administrators
CO-61762 MySQL for Database Administrators Summary Duration 5 Days Audience Administrators, Database Designers, Developers Level Professional Technology Oracle MySQL 5.5 Delivery Method Instructor-led
More informationRelational to NoSQL: Getting started from SQL Server. Shane Johnson Sr. Product Marketing Manager Couchbase
Relational to NoSQL: Getting started from SQL Server Shane Johnson Sr. Product Marketing Manager Couchbase Today s agenda Why NoSQL? Identifying the right application Modeling your data Accessing your
More informationMarkLogic Server. Loading Content Into MarkLogic Server. MarkLogic 9 May, Copyright 2017 MarkLogic Corporation. All rights reserved.
Loading Content Into MarkLogic Server 1 MarkLogic 9 May, 2017 Last Revised: 9.0-1, May, 2017 Copyright 2017 MarkLogic Corporation. All rights reserved. Table of Contents Table of Contents Loading Content
More informationPostgreSQL as REST API Server without coding. Priya
PostgreSQL as REST API Server without coding Priya Ranjan @ranjanprj API Future of Application Development APIs are prerequisite for innovation Microservices provide APIs in a bounded context Existing
More informationMarkLogic Server. Release Notes. MarkLogic 6 September, Copyright 2015 MarkLogic Corporation. All rights reserved.
Release Notes 1 MarkLogic 6 September, 2012 Last Revised: 6.0-6, June, 2015 Copyright 2015 MarkLogic Corporation. All rights reserved. Table of Contents Table of Contents Release Notes 1.0 Introduction...5
More informationDeveloping Enterprise Cloud Solutions with Azure
Developing Enterprise Cloud Solutions with Azure Java Focused 5 Day Course AUDIENCE FORMAT Developers and Software Architects Instructor-led with hands-on labs LEVEL 300 COURSE DESCRIPTION This course
More informationAGILE RELIABILITY WITH RED HAT IN THE CLOUDS YOUR SOFTWARE LIFECYCLE SPEEDUP RECIPE. Lutz Lange - Senior Solution Architect Red Hat
AGILE RELIABILITY WITH RED HAT IN THE CLOUDS YOUR SOFTWARE LIFECYCLE SPEEDUP RECIPE Lutz Lange - Senior Solution Architect Red Hat Digital Transformation It requires an evolution in. Applications Infrastructure
More informationAnswer the following questions PART II
Cluster A A1 FOUNDATIONS OF DATA SCIENCE Time : Three hours Maximum : 75 marks. PART I questions 5 X 5 = 25 M 1. What is sampling for modeling and validation? 2. Explain evaluating clustering model? 3.
More informationBuilding a Data Strategy for a Digital World
Building a Data Strategy for a Digital World Jason Hunter, CTO, APAC Data Challenge: Pushing the Limits of What's Possible The Art of the Possible Multiple Government Agencies Data Hub 100 s of Service
More informationEMC Documentum System
EMC Documentum System Version 7.2 Deployment Quick Start Guide EMC Corporation Corporate Headquarters: Hopkinton, MA 01748-9103 1-508-435-1000 www.emc.com Legal Notice Copyright 2012-2015 EMC Corporation.
More informationSAS Platform Strategy Prepared for FANS usergroup. Mike Frost, Director, Product Management Fiona McNeill, Global Product Marketing
SAS Platform Strategy Prepared for FANS usergroup Mike Frost, Director, Product Management Fiona McNeill, Global Product Marketing Information is subject to change. Q1 2017 Q2 2017 Q3 2017 Q4 2017 H1
More informationVoldemort. Smruti R. Sarangi. Department of Computer Science Indian Institute of Technology New Delhi, India. Overview Design Evaluation
Voldemort Smruti R. Sarangi Department of Computer Science Indian Institute of Technology New Delhi, India Smruti R. Sarangi Leader Election 1/29 Outline 1 2 3 Smruti R. Sarangi Leader Election 2/29 Data
More informationInteroperable Cloud Storage with the CDMI Standard. Mark Carlson, SNIA TC and Oracle Co-Chair, SNIA Cloud Storage TWG
Interoperable Cloud Storage with the CDMI Standard Mark Carlson, SNIA TC and Oracle Co-Chair, SNIA Cloud Storage TWG SNIA Legal Notice The material contained in this tutorial is copyrighted by the SNIA.
More information