TECHNOLOGY SOLUTION EVOLUTION

Similar documents
Big Data Technology Ecosystem. Mark Burnette Pentaho Director Sales Engineering, Hitachi Vantara

Jitterbit is comprised of two components: Jitterbit Integration Environment

Instant Data Warehousing with SAP data

Informatica Cloud Data Integration Winter 2017 December. What's New

Etlworks Integrator cloud data integration platform

JAVASCRIPT CHARTING. Scaling for the Enterprise with Metric Insights Copyright Metric insights, Inc.

Tableau Online. Understanding Data Updates

Part 1: Indexes for Big Data

Getting Started With Intellicus. Version: 7.3

The Technology of the Business Data Lake. Appendix

Intro to BI Architecture Warren Sifre

Getting Started with Intellicus. Version: 16.0

Enterprise Data Catalog Fixed Limitations ( Update 1)

Developing Microsoft Azure Solutions (70-532) Syllabus

Detailed Course Modules for Oracle BI Publisher Online Training:

WHITEPAPER. MemSQL Enterprise Feature List

Informatica Enterprise Information Catalog

Spotfire: Brisbane Breakfast & Learn. Thursday, 9 November 2017

Integration and Extensibility

Low Friction Data Warehousing WITH PERSPECTIVE ILM DATA GOVERNOR

Oracle GoldenGate for Big Data

Best Practices for Choosing Content Reporting Tools and Datasources. Andrew Grohe Pentaho Director of Services Delivery, Hitachi Vantara

FAQs. Business (CIP 2.2) AWS Market Place Troubleshooting and FAQ Guide

QLIK INTEGRATION WITH AMAZON REDSHIFT

Cognos Analytics Reporting User Interface

Fusion Registry 9 SDMX Data and Metadata Management System

Review. Fundamentals of Website Development. Web Extensions Server side & Where is your JOB? The Department of Computer Science 11/30/2015

INDEPTH Network. Introduction to ETL. Tathagata Bhattacharjee ishare2 Support Team

Spotfire for the Enterprise: An Overview for IT Administrators

Developing Microsoft Azure Solutions (70-532) Syllabus

Intellicus Enterprise Reporting and BI Platform

How to choose the right approach to analytics and reporting

Ian Choy. Technology Solutions Professional

ThingWorx Relational Databases Connectors Extension User Guide

Release notes for version 3.9.2

Data 101 Which DB, When. Joe Yong Azure SQL Data Warehouse, Program Management Microsoft Corp.

SQT03 Big Data and Hadoop with Azure HDInsight Andrew Brust. Senior Director, Technical Product Marketing and Evangelism

Technical Overview. Access control lists define the users, groups, and roles that can access content as well as the operations that can be performed.

Product Overview. Technical Summary, Samples, and Specifications

What does SAS Data Management do? For whom is SAS Data Management designed? Key Benefits

Spotfire Data Science with Hadoop Using Spotfire Data Science to Operationalize Data Science in the Age of Big Data

microsoft

Move Exchange 2010 Database To Another Drive Powershell

Oracle Big Data Connectors

JOB SCHEDULING CHECKLIST

CloudSwyft Learning-as-a-Service Course Catalog 2018 (Individual LaaS Course Catalog List)

Azure Data Factory VS. SSIS. Reza Rad, Consultant, RADACAD

1 Copyright 2013, Oracle and/or its affiliates. All rights reserved.

Getting Started With Data Sync

Informatica Cloud Data Integration Spring 2018 April. What's New

Innovations in Business Solutions. SAP Analytics, Data Modeling and Reporting Course

Your New Autonomous Data Warehouse

AWS Database Migration Service

Developing Microsoft Azure Solutions (70-532) Syllabus

Automated Netezza to Cloud Migration

#mstrworld. Analyzing Multiple Data Sources with Multisource Data Federation and In-Memory Data Blending. Presented by: Trishla Maru.

Intellicus Getting Started

Přehled novinek v SQL Server 2016

Stages of Data Processing

Welcome! Power BI User Group (PUG) Copenhagen

Copyright 2016 Datalynx Pty Ltd. All rights reserved. Datalynx Enterprise Data Management Solution Catalogue

Copyright 2014, Oracle and/or its affiliates. All rights reserved.

17/05/2017. What we ll cover. Who is Greg? Why PaaS and SaaS? What we re not discussing: IaaS

The SAS Platform. Georg Morsing

Interstage Business Process Manager Analytics V11.1. Overview. Windows/Solaris/Linux

Cloud Analytics and Business Intelligence on AWS

Apparo Fast Edit Edit Data Version management 3 in an IBM Cognos environment Technical Document

Safe Harbor Statement

DiskSavvy Disk Space Analyzer. DiskSavvy DISK SPACE ANALYZER. User Manual. Version Dec Flexense Ltd.

Database Questions. Then we need to set Bulk Loader's "Path to the psql client" property, we can use ${psql_path}

Introduction to Worklight Integration IBM Corporation

Activator Library. Focus on maximizing the value of your data, gain business insights, increase your team s productivity, and achieve success.

Connect and Transform Your Digital Business with IBM

Comparison of SmartData Fabric with Cloudera and Hortonworks Revision 2.1

Using Cohesity with Amazon Web Services (AWS)

Crystal Reports. Overview. Contents. How to report off a Teradata Database

Best practices for building a Hadoop Data Lake Solution CHARLOTTE HADOOP USER GROUP

The age of Big Data Big Data for Oracle Database Professionals

The information system for the State Archives of the Ministry of Interior of the responsibilities

Evaluation Checklist Data Warehouse Automation

Alexander Klein. #SQLSatDenmark. ETL meets Azure

Course Outline. Advanced Automated Administration with Windows PowerShell Course 10962: 3 days Instructor Led

Syncsort DMX-h. Simplifying Big Data Integration. Goals of the Modern Data Architecture SOLUTION SHEET

Extend NonStop Applications with Cloud-based Services. Phil Ly, TIC Software John Russell, Canam Software

Visualizing PI System Data with Dashboards and Reports

Architecting Microsoft Azure Solutions (proposed exam 535)

iserve Business Runs on I.T. I.T. Runs on iserve Software PRODUCT BRIEF

Introduction Welcome to the User Guide for Oracle Metadata Management (OMM).

Introduction to Sencha Ext JS

Accelerate Your Data Pipeline for Data Lake, Streaming and Cloud Architectures

QMF Analytics v11: Not Your Green Screen QMF

IBM Spectrum Protect Plus

ncode Automation 8 Maximizing ROI on Test and Durability Product Details Key Benefits: Product Overview: Key Features:

DURATION : 03 DAYS. same along with BI tools.

Performance and Scalability Overview

FEATURES BENEFITS SUPPORTED PLATFORMS. Reduce costs associated with testing data projects. Expedite time to market

Five critical features

EBOOK: VMware Cloud on AWS: Optimized for the Next-Generation Hybrid Cloud

Data integration made easy with Talend Open Studio for Data Integration. Dimitar Zahariev BI / DI Consultant

Migrate from Netezza Workload Migration

Transcription:

JAR PLATFORM JORVAK

TECHNOLOGY SOLUTION EVOLUTION 1990s Build Your Own Time to Production Present Time Highly Configurable Hybrid Platforms Universal Connectivity Application Screens Integrations/Reporting 2000s Off the Shelf Total Cost

WHAT IS JAR PLATFORM? Jorvak Analytics and Reporting (JAR) is a web based cloud ready integrated toolkit for: Data Integration Database, FTP, Network Shares, Loaders, Extractors and more Application Screens - Front end UI creation with full role based row/column level security Analytics and reporting XML and Excel based templates for Data visualization Cloud Management Integration with Amazon Web Services (S3, Redshift etc.) and Google Analytics for tracking and analyzing web traffic JAR can connect to any database which has JDBC driver available (Nearly all databases have a Java driver) Currently tested on popular databases like Oracle, Exadata, Teradata, SQL Server, AWS Redshift, IBM DB2, MySQL and more JAR utilizes open source/common technologies (Excel, SQL, XML, HTML, CSS and JavaScript) JAR configuration is set up through XML or Properties files, no Java coding is required JAR capabilities can seamlessly be combined to enable complete solutions

JAR INTEGRATED ARCHITECTURE - Integrations Simplified - Full replacement for shell scripting with AWS, FTP, Network and Database commands. - Automated error management and notifications Load any format - Flat Files CSVs, Fixed etc. - Database Links - Outlook Calendars JAR Export Data in any format: CSV, Tab, Custom etc. - Adhoc or scheduled Full integration with Google Analytics and Amazon Web Services S3 storage and Redshift Data Warehouses Fully configurable data management front end screens built entirely using XML configuration Fact Table Management - HTML Reporting with built in - Automated Sources - Versioning, replace and load, incremental etc. - Partition based instant loads - Partition based built in archiving Built in scheduler for everything. Scripts, Loaders, extractors, reporting etc. left and right click drillable visualizations (graphs etc.) - Full Excel template based exports and dashboards

JAR FEATURES AND CAPABILITIES Enterprise Features High Performance Security Scheduling of Jobs / Processes Scalable Reduce Development Time Data Warehouse Native Connections XML Based Configuration Time to Deliver Cost Cut integration development and time by ~33% Leverage client analysts and eliminated the need for developers Reduced SDLC Documentation Performance (Examples) Excel Export Performance without significant memory usage: Extract 100,000 rows x 50 cols wide (5 Million cells) in 45 secs Extract 1 Million rows x 50 cols wide (50 Million cells) in 6 mins Extract 802K rows x 149 cols (119.5 Million cells) in 11.5 minutes Load into Oracle: 237M rows x 165 cols (39.1 Billion cells) in 1 hr. 14 secs. Extracted from Database, zipped and sent to AWS S3 Teradata 7.3 Million rows x 15 cols wide (109 Million cells) in 7 mins Oracle - 276M rows x 151 cols (41.6 Billion cells) in 4 hrs. 51 mins. Rapid Reporting Rapidly create reports using Excel templates for executive dashboards, reporting and application screens supporting graphs, pivot tables and pivot charts and macros embedded directly in the Excel template. Reporting & Analytics Business Process (UI) Process Storage Platform Dashboards Configurable UI Rules Engine Object Storage Reports Data Database(s) Other BI Tools Notifications Data Blending Data Lake / DWH On Premise Processes REST JDBC Outlook Security Load Balance r Scheduling

JAR SECURITY AUTOMATION AND 2-CLICK HELP REQUEST Workflow based Security Account/Role Management Screenshot based 2-click built in Help Request No IT or operational involvement for security account/role management. Significantly simplifies audit

JAR FEATURES AND CAPABILITIES Component Reporting & Analytics Business Process (UI) Integration Scheduling Scripting Process/Extractor Warehouse Mgmt Example Alternatives Cognos, Qlik, Tableau, Power BI UI Frameworks & BPM Solutions (Tibco, Appian, etc.) Talend, Informatica, Pentaho Data Integration Autosys Scheduler, Quartz Scheduler, Spring Batch Ansible, Chef, Puppet, PowerShell Talend, Informatica, Pentaho Data Integration Native to Data Warehouse features and many third party add-ons

JAR IMPLEMENTATIONS AT TOP 5 PHARMA COMPANY Application Component Data Steward Membership Analytics Cloud Analytics Medicaid Liability Analytic Reporting Payments Unstructured Data Analytics Editing Cloud Integrations Robotic Process Automation Loading Extracting Scheduling Reporting Scripting Cloud Integration Warehouse Management Help Request Management