big data brochure - apps associatesassociates helps customers define their big data strategy and...

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www.appsassociates.com Enterprises across the globe are rapidly adopng big data analycs to idenfy paerns and enable beer decision making. Uncovering aconable insight from unstructured data helps organizaons to take advantage of new market opportunies, minimize risk, and drive down costs. However, it is important to have a well-defined strategy, and a robust IT infrastructure to exploit big data successfully. IT organizaons are increasingly turning to cloud compung as the preferred plaorm to support their big data projects. While enterprises oſten keep their most sensive data in-house, huge volumes of public data such as social media may be available and can be stored externally. Leveraging the Amazon Web Services (AWS) cloud and technical experse developed over a decade of managing and supporng BI soluons, Apps Associates helps customers define their big data strategy and deploy various technologies such as Hadoop, Amazon EMR, Redshiſt, Kinesis, Splunk, Jaspersoſt, and OBIEE. Big Data Services Apps Associates’ soluon architecture for big data analycs DATA CONNECTORS BigData Connectors Scribe API Flume Sqoop Mobile, Tablets, Other Devices AWS BIG DATA Oracle BigData Appliance BIGDATA HIVE, PIG OOZIE CASCADING ZOOKEEPER AVRO Hadoop (MapReduce & HDFS) HDFS (redundant, reliable storage) YARN (cluster resource management) MapReduce (data processing) Others (data processing) HADOOP 2.0 Hadoop (Hadoop Based) HBase AMAZON KINESIS AMAZON ELASTIC MAPREDUCE AMAZON REDSHIFT STRUCTURED DATA DNA GENOME UNSTRUCTURED DATA ERP, HCM INTERNET OF THINGS BIG ANALYTICS Developers End Users Business Analysts Data Sciensts Developer Environments Tableau Jaspersoſt QlikView OBIEE Hunk DATA SOURCES DATA LAKE ANALYTICS

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Page 1: Big Data Brochure - Apps AssociatesAssociates helps customers define their big data strategy and deploy various technologies such as Hadoop, Amazon EMR, Redshift, Kinesis, Splunk,

www.appsassociates.com

Enterprises across the globe are rapidly adopting big data analytics to identify patterns and enable better decision making. Uncovering actionable insight from unstructured data helps organizations to take advantage of new market opportunities, minimize risk, and drive down costs. However, it is important to have a well-defined strategy, and a robust IT infrastructure to exploit big data successfully.

IT organizations are increasingly turning to cloud computing as the preferred platform to support their big data projects. While enterprises often keep their

most sensitive data in-house, huge volumes of public data such as social media may be available and can be stored externally.

Leveraging the Amazon Web Services (AWS) cloud and technical expertise developed over a decade of managing and supporting BI solutions, Apps Associates helps customers define their big data strategy and deploy various technologies such as Hadoop, Amazon EMR, Redshift, Kinesis, Splunk, Jaspersoft, and OBIEE.

Big Data Services

Apps Associates’ solution architecture for big data analytics

DATACONNECTORS

BigDataConnectorsScribeAPIFlume Sqoop

Mobile, Tablets,Other Devices

AWS BIG

DATA

Oracle BigD

ataA

ppliance

BIGDATA

HIVE,PIG

OOZIECASCADING

ZOOKEEPERAVRO

Hadoop(MapReduce

& HDFS) HDFS(redundant, reliable storage)

YARN(cluster resource management)

MapReduce(data processing)

Others(data processing)

HADOOP 2.0

Hadoop

(HadoopBased)

HBase

AMAZONKINESIS

AMAZON ELASTIC MAPREDUCEAMAZONREDSHIFT

STRUCTURED DATA

DNA GENOME

UNSTRUCTUREDDATA

ERP, HCM

INTERNETOF THINGS

BIG ANALYTICS

DevelopersEnd Users

BusinessAnalysts

DataScientists

DeveloperEnvironments

Tableau

Jaspersoft

QlikView

OBIEE

Hunk

DATASOURCES DATA LAKE ANALYTICS

Page 2: Big Data Brochure - Apps AssociatesAssociates helps customers define their big data strategy and deploy various technologies such as Hadoop, Amazon EMR, Redshift, Kinesis, Splunk,

www.shipconsole.comwww.appsassociates.com

OUR STRATEGIC PARTNERS

Europe Asia North America (HQ)

ABOUT APPS ASSOCIATESApps Associates is a global IT services company that enables organizations to implement, adopt and manage Oracle Applications, Cloud Infrastructure, Salesforce, Analytics and Integration solutions. We partner with our customers to enable their journey to the cloud and deliver continuous business improvement with our managed services. We differentiate through our relentless attention to delivery excellence and customer care. Apps Associates is an Oracle Platinum Partner, a Premier Consulting Partner with Amazon Web Services and a Salesforce Silver Consulting Partner.

© Copyright 2018, V7.0-0415, Apps Associates LLC. All rights reserved.

Big Data Services

Big Data Strategy & Roadmap

• Defining a business case for big data

• Identifying sources of data

• Evaluating the technology of big data platforms and selecting suitable tools

Implementation Services

• Implementing defined business cases

• Migrating structured data from existing applications

• Collecting semi-structured/unstructured data from various sources

• Designing and building your big data platform

Managed Services

• Ongoing support, administration, and optimization of big data deployments

• Monitoring and managing the AWS cloud platform availability

• Optimizing cloud operations cost, security and performance

Big Data Visualization & Analytics

• Designing and developing an analytics framework for big data use cases

• Constructing dashboards and KPIs to meet business requirements

• Predictive modeling and advanced analytics

Apps Associates' Big Data Fast Start, as part of our Big Data Strategy and Roadmap Service, offers organizations the opportunity to execute a POC for their analytical requirements against large data sets, with clearly defined scope, in concise timeframes.

Big Data Fast Start

BusinessCase

Approval

Go / No GoDecision

Proof of Concept / Proof of Value

Business CaseDevelopment

Time:2 to 3 weeks

Activity:Study & ExploreBusiness Case DefinitionBusiness Case DevelopmentBusiness Case Review

Deliverables:Business Case SelectionBusiness Case POV/POC Definition

Time:2 to 3 weeks

Activity:Technology SelectionData CollectionPOC/POV ImplementationPOC/POV Review

Deliverables:POV/POC on AWS