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    Innovative AnalyticsUncover actionable insights and new opportunities with the

    Teradata® Aster Discovery Platform.

    by Brett Martin

    The Teradata® Aster Discovery Platform offers new features and capabilities to deliver

    powerful business insights. The integrated platform for big data analytics is composed

    of the Teradata Aster Big Analytics Appliance and the Teradata Aster Database, which

    are optimized to utilize all data and multiple analytics. To find out more about how the solution

    applies next-generation analytics, Teradata Magazine  spoke with Awny Al-Omari, Engineering

    Fellow at Teradata Labs.

    How does the TeradataAster Discovery Platform

    overcome the challenge of

    driving value from big data?

    Al-Omari: The discovery process

    involves the steps of data acquisition,

    data transformation, application of

    various analytics and results visualiza-

    tion. The Teradata Aster Discovery

    Platform allows the user to perform all

    of these steps in an explorative, itera-

    tive manner. The key is the integration

    of diverse data sources and execution

    engines under one platform, and using

    a single unified language.

    By integrating the discovery process

    components, the platform significantly

    reduces the data preparation efforts

    and bridges the skills gap required for

    the various stages and types of analyt-ics. The solution is faster, simpler and

    offers the most comprehensive discov-

    ery process with a single platform than

    any other solution.

    What are some of the

    discovery components that

    enable the analytics?

    Al-Omari: The Teradata Aster SNAP

    Framework ™ allows for discovery

    operations using SQL for relational,

    SQL-MapReduce™ [SQL-MR ™] for

    general, SQL-GR ™ for graph and R

    for statistical analytics. The data can

    reside locally in Teradata Aster tables

    for structured data or the distributed

    file system for unstructured data. The

    information can also reside on an

    external Teradata Database or ApaHadoop® system and be accessed v

    Teradata QueryGrid™ connectors.

    The discovery results can be

    reported and visualized via the

    Teradata Aster AppCenter™ or inte

    grated with third-party BI tools. T

    analytics can be performed and lev

    aged by a wide spectrum of enterp

    users ranging from developers and

    data scientists to business users.

    What is the Teradata Aste

    AppCenter and how are y

    customers using it?

    Al-Omari: The AppCenter is a

    framework that enables the buildin

    deployment and sharing of analyti

    apps and the visualization of result

    ASK THE EXPERTS

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    Analysts and business users can

    leverage the apps to analyze data and

    discover insights that they can share

    across the organization. The results are

    also materialized in tables in the data-

    base and ready for operationalization.

    The AppCenter portal provides

    the ability to parameterize, schedule

    and run the apps, and see the results

    using one of the various built-in

    visualization charts. The solution

    comes with ready-to-use apps such as

    the affinity analyzer, pattern finder,

    recommendation generator, email

    parser and cross validation. With the

    AppCenter, analytics are open to all

    potential consumers in the enterprise

    so more users can benefit.

    Can you describe some of

    the new problem-solving

    abilities that the platform

    offers to the broader group

    of users?

    Al-Omari: Organizations can

    use more than 100 built-in analytic

    functions or build their own busin

    specific functions using the open

    application programming interfac

    The platform can be used for colla

    orative filtering, clustering and reg

    sion to optimize business operatio

    Or the advanced path analytics can

    be used to maximize ROI, minimiz

    churn or detect anomalies and frau

    patterns. These are just a few exam

    Best of all is the combination of

    different analytics methods, which

    delivers a higher value than the sum

    THREE THINGS YOU

    DIDN’T KNOW ABOUT

    AWNY AL-OMARI

    { 1 }

    As an avid outdoorsman and

    hunter, he is skilled enough

    with his air gun to hit a

    penny from the length of a

    soccer field.

    { 2 }Inspired by Elzéard Bouffier

    (The Man Who Planted

    Trees), Al-Omari’s goal

    is to plant at least 1,000

    trees himself.

    { 3 }

    He has a passion for

    ancient poetry. As a child,

    he memorized more than

    20,000 lines.

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    ASK THE EXPERTS

    the parts. For example, businesses can

    use the sentiment analysis SQL-MR

    function combined with SQL-GR

    centrality to find satisfied customers

    who influence their networks. The

    various analytics methods are joined

    together under one platform without

    the need for resource-consuming datapreparation between different analyt-

    ics execution engines.

    The platform includes the

    Teradata Aster Big Analytics

    Appliance 4. What makes

    it unique?

    Al-Omari: The appliance is a com-

    plete, pre-configured and optimized

    discovery platform specially designed

    for big data analytics. It allows cus-

    tomers to mix and match a wide rangeof analytics by combining MapReduce,

    Graph, R and SQL engines with an

    optional, ready-to-run Hadoop data

    lake for big data storage and prepara-

    tion. The appliance makes big data

    problems manageable and offers busi-

    ness insights by being able to run any

    analytic on any data.

    What’s new in Teradata

    Aster Database 6.10?

    Al-Omari: The focus is on enterprise

    readiness and operational simplic-

    ity. As analysts and data scientists are

    enabled to deploy and share their

    discovery apps with a wider domain

    of business users, Teradata Aster 6.10

    offers hardened security and a more

    robust system under various workload

    operations. Moreover, the time to

    perform a system expansion has been

    reduced significantly, and the software

    upgrade process has been improved.

    Teradata Aster 6.10 also continues

    to strengthen Teradata Unified DataArchitecture™ features with improve-

    ments in connectors, enhanced

    integration with Teradata Viewpoint

    and support for new Teradata Studio

    features. Plus, with the introduction

    of R client integration, users can now

    leverage massive parallel processing to

    push popular R functions for scalable

    parallel execution, use Teradata Aster

    analytics functions and access tables as

    R data frames.

    The platform enables

    connection analytics. What

    is it and why is it important?

    Al-Omari: Most analytics algo-

    rithms drive insights by analyzing

    attributes related to individual entities

    and aggregates over sets of entities

    Connection analytics, by contrast,

    looks deeper into the relationship

    between entities and searches for

    insights based on networks. Notio

    such as paths, clusters, connectors,

    bridges and influencers are essenticonnection analytics, which looks

    how relationships influence outcom

    in networks of people, processes

    and products.

    The Teradata Aster Discovery

    Platform enables connection

    analytics via its SQL-GR engine

    and a growing set of built-in graph

    analytics functions. Functions like

    PageRank and Centrality are used

    find top influencer nodes in the gr

    Other functions like Closeness and

    AllPairShortestPath find the shorte

    paths between nodes and can be us

    for optimizing business operations

    Brett Martin is the editor-in-chief fo

    Teradata Magazine.

    INTEGRATE WITH A DATA WAREHOUSE

    “The Teradata® Aster Discovery Platform is designed for data scienti

    and business analysts to discover new insights with innovative analy

    More and more customers now want to deploy analytics results such

    customer scores or sentiment values uncovered through the discove

    process back into the production data warehouse. To achieve this, th

    discovery platform must meet the requirements for the production

    environment, including security, workload management and userscalability. The platform satisfies those requirements.”

    —Awny Al-Omari, Engineering Fellow at Teradata L

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