anzo smart data integration february 2015

©2015 Cambridge Semantics Inc. All rights reserved. Company Confidential.

Anzo Smart Data Integrator

Cambridge Semantics Contact:

Marty Loughlin

Vice President, Financial Services

Cambridge Semantics

141 Tremont St., 6th Floor, Boston, MA

www.cambridgesemantics.com

[email protected]

(o) 617.855.9565

http://www.cambridgesemantics.com/

mailto:[email protected]

©2015 Cambridge Semantics Inc. All rights reserved. Company Confidential

Introduction to Cambridge Semantics (CSI)

The Anzo Smart Data Platform is used to create data analytics and management solutions with diverse data from varied sources

Company:

Founded in 2007 by senior team from IBM’s Advanced Internet Technology Group Privately Funded Select customers:

Software:

Market leading Anzo software suite is built on open Semantic Web standards

Currently 3rd generation of the product in production use

Business Intelligence / Analytics Solutions

2013(Winner) 2014(Finalist) 2014 Innovation Showcase


Data Integration Scenarios

Customer Data On-boarding

Data aggregation for regulatory reporting

Data Lake

Cloud Migration

Mergers and Acquisitions


Anzo Smart Data Integrator Overview

Anzo Smart Data Integration uses common, conceptual models

with existing ETL tools

to increase the speed and decrease the cost of completing high-quality, governed data integration

projects

by 10 times or more.


The Data Integration Challenge

Customer 360

EnterpriseWarehouse

BusinessData Marts

Compliance andRegulatory Reporting

Source Systems

Lead(SFA system)

Quote(Quote system)

Order(OMS system)

Contract(CMS system)

Target SystemsS x T

ETL Jobs

Each Job

DefineMapping

Requirements

Code ETL Job

Test & Deploy

Business Analyst Developers QA & OpsEach ETL Project:• Manually coded• Requires source

& target SMEs• Many hand-offs


The Common Model is “Data Glue”

Lead(SFA system)

Quote(Quote system)

Order(OMS system)


Common Model(“Data Glue”)

Source Systems

• Data is “glued” together by its underlying business meaning

• Potential to use industry standard models, e.g., FIBO, CDISC, HL7

Business Analysts and IT can use conceptual models to:• Create data services• Understand the data landscape• Track data lineage• Conduct downstream analytics


Anzo Smart Data Integration

Compliance andRegulatory Reporting

Each ETL Job:• Generated from map• Only source SME

required• Hours, not months

Customer 360

EnterpriseWarehouse

BusinessData Marts

Source Systems

Lead(SFA system)

Quote(Quote system)

Order(OMS system)


Target Systems

Each Job

Map Source toConceptual Model

Business Analyst

S + T Maps

Automatically Generate ETL

Anzo SDI

Common Model(“Data Glue”)


Map to/from conceptual

models

Combine maps &

automatically generate ETL

jobs

Create data marts and extracts

on-demand

Explore data provenance

Anzo Smart Data Integration Capabilities


Anzo Smart Data Integration Components

Model Manager

Data Connections

Schema Manager

Project Manager

Mapping Manager

Provenance Explorer


Anzo Smart Data Integration Demo

MySQL

Source System

HoldingsTable

Target SystemConceptualAsset

Model

• Map Holdings database to Conceptual Asset Model• Map Conceptual Asset Model to MySQL target database• Publish and run Pentaho job• Demonstrate Lineage

Scenario


ASDI Lead Customer Value

Existing Process

1 Business Analyst for 6 Months

4 Developers for 6 Months

3 Testers for 6 Months

Total Cost: ~$1.5M

• Projected value from a lead customer for a complex data integration project:

• Estimated development cost reduced from $1.5M to ~ $100K• Estimated development time reduced from over 6 months to ~1 month

New Anzo SDI Process

1 Business Analyst for 1 Month

1 Developer for 1 Month

1 Tester for 1 Month

Total Cost: ~$100K


Appendix

Ap

plic

atio

ns

Mid

dle

war

eEn

terp

rise

Dat

a Fa

bri

c

Anzo Server

Reasoning& Rules

WorkflowSemanticServices

Anzo Connect

Enterprise Directory Connect

Anzo Unstructured

Data Marts & Warehouses

EnterpriseApplications

Directory(LDAP, AD)

………

3rd Party Databases & Applications

Anzo Architecture & Capabilities

Exte

rnal

So

urc

es• User self-serve• Interactive• Conceptual model• Search, filter, BI

analytics, forms, alerts,…

• Cache or virtualize data based on W3C semantic standards

• Based on real-time event based architecture

• Embedded graph database

• Two-way integration to existing systems

• Anzo Unstructured pipeline allows easy plug-in of 3rd Party NLP and crawlers


Anzo Smart Data Integration Architecture

Smart Data Integrator(web application)

…includes:• Project manager• Schema manager• Model manager• Data feed manager• Governance dashboards

Data Mapper(Excel-based)

Conceptual Model Editor

Anzo Smart EDM Server

ETL Compiler

MappingRegistry

ConceptualModel Registry

Schema & Sample Data Registry

Data SourceRegistry

Data Feeds Catalog

Services:

• Sample data service• Data feed persistence service• Revision & audit service• Access control service

ETL Engine

• SQL• CSV/TSV• XML• Proprietary

• SQL• CSV/TSV• XML• Proprietary


ASDI Use Case: Creating a Data Lake

DataLake

Common Conceptual Model

Self-service Analytics

Self-service Data Extracts & Marts

Sources

Anzo Smart Data Integration

Anzo provides a platform –wide

common conceptual model

Anzo enables end-user self-service

using models

ASDI streamlines and automates data

ingestion


ASDI User Roles

•Defines projects and mappings

•Configures data sources & schemas

•Publishes projects to ETL tools

•Populates Data Catalog with Data Feeds

Full User

•Search and browse Data Catalog

•Creates on-demand data marts and extracts from Data Catalog

Data Consumer

•Manage models

•Browse and search projects

•Browse and search data lineage

Governance User

•Configures users and roles

•Configures dashboards and templates

Administrator


ASDI: Map to & from Conceptual Models

• ASDI Data Mapper– Built for Business Analysts– Uses an Excel-based interface to map systems to/from

conceptual models

• Supports mappings:– Physical-to-Conceptual– Conceptual-to-Conceptual– Physical-to-Physical


ASDI: Automatically Generate ETL Jobs

• Mappings are combined and reused to define projects

• Projects are automatically compiled into ETL jobs to run on Pentaho or Informatica– Support for SSIS, DataStage,

Ab Initio, Talend, and others to follow

• Generated jobs include automated quality checks and error handling


ASDI: Create Data Marts and Extracts On-demand

• Publish well-described data services into a shared, searchable data catalog

• Analysts use an “iTunes-like” interface to select data elements needed for analysis

• Populate existing or new data marts and extracts in minutes, as needed


ASDI: Support Data Lineage and Governance

• Automatically generated as a by-product of data integration projects

• Searched and browsed through governance dashboards

• Track and audit revisions of models and mappings

• Detect changes in the schemas of source databases

anzo smart data integration february 2015

Documents

data analytics

diverse data

data services

company confidential

etl jobscreate data

existing etl tools

source sme

source target smes