Analytix Mapping Manager Bigdata Edition Datasheet

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    Copyright 2014 AnalytiX Data Services

    www.analyt ixds. com

    DATA SHEET

    www.analytixds.com

    AnalytiX MappingManager Big Data Edition

    The Complete Mapping Lifecycle Management Solution

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    DATA SHEETAnalytiX Mapping Manager

    www.analytixds.com

    Overview

    AnalytiX Mapping Manager Big Data Edition enables organizations to

    reduce costs & accelerate project delivery by automating the data map-

    ping process thereby making it Faster, More Manageable & Collaborative

    while Auto-Generating ETL Jobs for leading ETL Tool Providers.

    AnalytiX Mapping Manager Big Data is a highly scalable product that

    provides the competence and usability to overcome the challenges and

    procure the benefits of big data.

    AnalytiX Mapping Manager Big Data provides a bridge between the

    structured (from traditional data sources) and unstructured data sources

    and helps accelerate decision making.

    Using the AnalytiX Mapping Manager Big Data Edition, you can man-

    age all operational system metadata including the unstructured data

    stores e.g. Hadoop (Hive), NoSQL databases such as Mongo DB and silosinside and outside the organization as well as manage the business and

    transformation rules in order to understand how this data is mapped and

    analyzed to support the corporate decision making process.

    AnalytiX Mapping Manager Big Data helps in harnessing the power of

    Big Data so that timely insights can be used to augment productivity ,

    maximize profits, lessen the risks and hence reduces the costs by provid-

    ing verified techniques to handle Big Data.

    Feature Highlights

    Packaged connectors to all major Big Data ecosphere databases

    (VoltDb, NuoDB, Mongo, Couch, Cassandra, PIG etc.)

    Packaged connectors to all major traditional dbms, columnar data-

    bases

    Packaged Big Data automation CATs (Code Automation Templates)

    PIG scripts

    PIG: Flat file Loader |Loads Flat files to HDFS

    PIG: Transformation Aggregation | Aggregates data

    ETL scripts for Talend, Informatica and others

    Benefits

    Deliver Faster & Better with

    higher quality deliverables

    Reduce Project Risks and big

    data management costs

    Deliver Instant Business Value

    Global visibility into Enterprise

    Projects

    Improvise performance by

    adopting Hadoop

    Focus on standards and proc-

    ess improvements

    Transform Big Data into useful

    data

    Meet regulatory, compliance

    and process audit

    Build repeatable processes and

    solutions

    Gain Better Control and Man-

    agement of data glossaries

    and the data mapping process

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    DATA SHEETAnalytiX Mapping Manager

    www.analytixds.com

    Key Features

    Centralized Repository

    Centrally store and govern metadata from a wide variety of

    sources- including Big Data systems such as

    Hadoop (Hive), NoSQL databases, flat files, rela-

    tional databases, modeling tools in a single web

    Accelerate Mapping Process

    Accelerate the Pre-ETL mapping process by using the drag/

    drop feature to create mapping

    specifications. Using the Drag/Drop

    process eliminates scope for any hu-

    man errors and brings over all meta-

    data information like data type, length, precision, scale etc.Reusability

    Create reusable mapping templates that can

    be moved between various environments.

    Data Lineage & Impact Analysis

    Generate end-to-end lineage all the way from the source

    layer to the reporting layer. View how a

    column/attribute is being transformed

    through the integration process and all

    instances where a column/attribute is

    being used as a source, target, in trans-

    formation rules etc.

    Audit Control

    View entire audit information like who

    created a mapping, who last versioned it

    etc. it gets even better! View who cre-

    ated or modified a particular row of a

    mapping as well.

    Data Profiling Capabilities

    Instantly preview data from various operational

    systems

    Version Control

    Version Mapping Specifications and track

    changes instantly using comparison features

    Shared Transformations

    Define a Transformation Rule at the en-

    terprise level and reuse across all inte-

    gration projects to enforce best prac-

    tices and standards.

    Integration with ETL Tools

    Easily integrate with leading ETL tools like Informatica,

    IBM Datastage, SSIS, Oracle Data Integrator, Talend etc.

    Two way integration is sup-

    ported i.e. Pre-ETL Mappings

    created in AMM can be exported

    out to all leading ETL tools and

    ETL mappings can be reverse-

    engineered into AMM for documentation as well.

    Improve Productivity

    Eliminate duplicate efforts from silo project

    teams and loss of knowledge capital due to

    attrition.

    Legacy Mappings/Metadata Support

    Easily bring in all your existing Mapping

    specifications and metadata from your

    spreadsheets.

    Reporting Capabilities

    Generate Instant Reports to track project

    status, resource availability, data truncation

    alerts. QA Testing Status, Mapping Valida-

    tions etc.

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    DATA SHEETAnalytiX Mapping Manager

    www.analytixds.com

    AnalytiX Mapping Manager helps in accelerating the Data Mapping Process by moving away from traditional

    spreadsheets. It provides an easy to use GUI for creating your source-target mappings. Your Mapping Process is ac-

    celerated by up to 70% and the entire mapping lifecycle management by 35%.

    Product Overview & Snapshots

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    DATA SHEETAnalytiX Mapping Manager

    www.analytixds.com

    Key Benefits

    Increase Productivity

    With Mapping Manager Big Data edition, your Business Analysts are more productive and more effi-

    cient leading to Increased manageability and control of mappings. Project delivery can be accelerated

    by up to 70%.

    Enable Automation and Leverage Industry Standards

    Enables automatic creation of system metadata (Data Dictionaries) Code Crosswalks , data mappings & en-

    ables reuse of transformations, code crosswalks and repeatable mapping process. Mapping manager lev-

    erages industry best practices and mapping standards to create a seamless process which does not re-

    quire resource re-training.

    Easy Adoption for Data Migration & Facilitation of Data Movement

    Enables easy scanning of metadata using inbuilt data access for Big Data systems, NoSQL databases and

    various heterogeneous systems which seamlessly fits in wherever a case for Data Migration arises. Map-

    ping Manager easily integrates with your in-house ETL tool for generating the ETL jobs and facilitating in

    the movement of data to the target systems.

    Gain Better Control and Management of data glossaries and the data mapping process

    Both the metadata and the data mappings are maintained in a single repository which provides ease of

    access to end users. All data is housed in a controlled environment and users from any location can access

    information with ease. Manage Enterprise Data Dictionaries and bring in better control and auditability to

    your data mapping process.

    Improves efficiency in processes, people and solution deployment

    This is not only applicable in the analysis, design and development phases of integration, but also in down-

    stream work flow management and regulatory compliance and reporting

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    Copyright 2014 AnalytiX Data Services

    www.analyt ixds. com

    DATA SHEET

    www.analytixds.com

    www.analytixds.comFor further information, please contact Analytix Data Services

    Corporate HQ

    14175 Sullyfield Circle, Suite # 400 Chantilly, VA 20151 USA

    Tel: 1+ (800)-656-9860,

    Email: [email protected]

    SALES

    For Sales - Please call (800)-603-4790 (9am-5pm EST) or Email: [email protected]

    SUPPORT

    For Product Support - Please call (800)-617-9620 or Email: [email protected]

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