SlideShare a Scribd company logo
BIG DATA SERVICES AT
FIDEL TECHNOLOGIES
6 Feb 2013




For any particular queries, dedicated center or partnership solutions
please do reach out to us at – infofidel@fideltech.com
Contact:
Sunil Kulkarni (Tokyo) – 81-90-8348-9892
Sushrut Potdar (India) – 91-20-66463203
Fidel Offerings
• We offer services around Big Data platforms and have in-
  house expertise on various technologies used to deliver
  Big Data solutions
• We partner with potential clients to build solutions
  together to gather business intelligence from the amassed
  Big Data and add value to their business
The Big Data Challenge
• Organizations have experienced tremendous explosion in data and
  have stored-up data for so many years
• Big Data is characterized by Volume (amount of data in bytes),
  velocity (the rate it is collected) and variety (different formats)
• Organizations are unable to cope up with all these three
  characteristics thereby unable to unlock the business value to the
  fullest.
• A recent Forrester survey found that the top reasons of why
  organizations are interested in big data were data volume (75 percent
  of respondents), analysis driven requirements (58 percent), data
  diversity (53 percent), velocity of change and scope, unpredictability
  of data (38 percent) and cost of big data being less expensive than
  traditional business intelligence and data warehouse solutions (30
  percent)
Big Data Opportunities
• Big Data helps us to extract insight and
  knowledge, identify trends and improve
  productivity which leads to competitive advantage
• Because many organizations are still not aware of
  the various possibilities of what they can do with
  the data, this is definitely the next frontier for
  innovation, competition and productivity
• Big Data answers the questions that were beyond
  reach in the past
Fidel’s Capabilities and Skills
• Hadoop                               • NoSQL Databases
   MapReduce                             MongoDB
   HDFS                                  Cassandra
   HiveQL, Pig                           HBase
   Oozie, Zookeeper                   • Big Data Platforms
   Data Collection (Flume, Sqoop)        Apache Hadoop
   Apache Mahout (Data Mining)           Cloudera
   Cluster Setup and Administration      MapR
Fidel Services
• Fidel OneProfile Service – creates an integrated view of
    profile based on various online profiles (Facebook,
    Twitter)
•   Big Data Infrastructure Management (Cluster deployment,
    configuration and monitoring)
•   Big Data Integration and Migration (Data Cleaning, Data
    Migration using Sqoop and Flume)
•   Application development using Big Data Technologies
    (Hadoop, Hive, Pig, Hbase)
•   Big Data Analytics (Data Mining, Predictive Analytics)
•   Big Data Visualization (Pentaho BI)
Fidel Solutions (potential ideas to partner
with clients) (to name a few) -1
• A solution to flag off possible cases for inside trading based
  on checks on the huge financial transaction data. This is not
  a fool-proof solution but flagging of such data surely can help
  financial institutions to show compliance authorities that they
  are taking steps to protect themselves
• A solution to find expiry date, case number, composition
  details, trace supply chain management for medicines and
  pharma products – thereby giving the power in the hands of
  consumer. Pharma companies can brand such solution and
  reach out to consumers.
Fidel Solutions (potential ideas to partner
with clients) (to name a few) -2
• A solution that mines patient Data (without confidential
  personal details) at key hospitals on a daily basis can help
  medical as well as state authorities to predict cases of
  epidemic well in advance & take corrective actions.
• A solution that can mine through multi-lingual data for airlines
  reservation, online product support, ecommerce product
  purchase data and help corporates to transfer back
  important customer feedback to internal departments & take
  corrective actions to generate more value
• A solution to mine customer sales POS or ecommerce data
  and apply this intelligence from the data to business thereby
  unlocking more value from the business
Engagement Models
• At Fidel, we are open to work on different engagement
  models namely: T&M, Turnkey project, Offshore
  development center (dedicated resources for a client) or a
  partnership model
• The partnership model is for cases where the client and
  Fidel jointly partner to develop a solution and share IPR
  as well as revenues.
Fidel Advantages
• Strong Technical Team and Expertise
• Flexibility on engagement models
• In-house Multi-lingual expertise (Japanese, English, Indian
  Languages, German, French, Spanish) and hence can
  mine through multi-lingual data
• Very cost effective
• Young and dynamic team – agility of a startup and maturity
  of a mid level company (ISO9001:2008 certified)
  For any particular queries, dedicated center or partnership solutions
  please do reach out to us at – infofidel@fideltech.com
  Contact:
  Sunil Kulkarni (Tokyo) – 81-90-8348-9892
  Sushrut Potdar (India) – 91-20-66463203

More Related Content

What's hot

Why Data Virtualization? By Rick van der Lans
Why Data Virtualization? By Rick van der LansWhy Data Virtualization? By Rick van der Lans
Why Data Virtualization? By Rick van der Lans
Denodo
 
Ensuring Data Quality and Lineage in Cloud Migration - Dan Power
Ensuring Data Quality and Lineage in Cloud Migration - Dan PowerEnsuring Data Quality and Lineage in Cloud Migration - Dan Power
Ensuring Data Quality and Lineage in Cloud Migration - Dan Power
Molly Alexander
 
Product Keynote: Denodo 8.0 - A Logical Data Fabric for the Intelligent Enter...
Product Keynote: Denodo 8.0 - A Logical Data Fabric for the Intelligent Enter...Product Keynote: Denodo 8.0 - A Logical Data Fabric for the Intelligent Enter...
Product Keynote: Denodo 8.0 - A Logical Data Fabric for the Intelligent Enter...
Denodo
 
How to Crunch Petabytes with Hadoop and Big Data Using InfoSphere BigInsights...
How to Crunch Petabytes with Hadoop and Big Data Using InfoSphere BigInsights...How to Crunch Petabytes with Hadoop and Big Data Using InfoSphere BigInsights...
How to Crunch Petabytes with Hadoop and Big Data Using InfoSphere BigInsights...
DATAVERSITY
 
¿En qué se parece el Gobierno del Dato a un parque de atracciones?
¿En qué se parece el Gobierno del Dato a un parque de atracciones?¿En qué se parece el Gobierno del Dato a un parque de atracciones?
¿En qué se parece el Gobierno del Dato a un parque de atracciones?
Denodo
 
Multi Cloud Data Integration- Manufacturing Industry
Multi Cloud Data Integration- Manufacturing IndustryMulti Cloud Data Integration- Manufacturing Industry
Multi Cloud Data Integration- Manufacturing Industry
alanwaler
 
From Foundation to Mastery – Building a Mature Analytics Roadmap - Manav Misra
From Foundation to Mastery – Building a Mature Analytics Roadmap - Manav MisraFrom Foundation to Mastery – Building a Mature Analytics Roadmap - Manav Misra
From Foundation to Mastery – Building a Mature Analytics Roadmap - Manav Misra
Molly Alexander
 
Three Big Data Case Studies
Three Big Data Case StudiesThree Big Data Case Studies
Three Big Data Case Studies
Atidan Technologies Pvt Ltd (India)
 
Accelerating Fast Data Strategy with Data Virtualization
Accelerating Fast Data Strategy with Data VirtualizationAccelerating Fast Data Strategy with Data Virtualization
Accelerating Fast Data Strategy with Data Virtualization
Denodo
 
HEALTHCARE ANALYTICS IN CLOUD
HEALTHCARE ANALYTICS IN CLOUDHEALTHCARE ANALYTICS IN CLOUD
HEALTHCARE ANALYTICS IN CLOUD
Nitai Partners Inc
 
Hiring and Developing Analytics Talent in the CPG and Retail Industry - Mohi...
 Hiring and Developing Analytics Talent in the CPG and Retail Industry - Mohi... Hiring and Developing Analytics Talent in the CPG and Retail Industry - Mohi...
Hiring and Developing Analytics Talent in the CPG and Retail Industry - Mohi...
Molly Alexander
 
The Top 5 Factors to Consider When Choosing a Big Data Solution
The Top 5 Factors to Consider When Choosing a Big Data SolutionThe Top 5 Factors to Consider When Choosing a Big Data Solution
The Top 5 Factors to Consider When Choosing a Big Data SolutionDATAVERSITY
 
Big data&DaaS
Big data&DaaSBig data&DaaS
Big data&DaaS
Constantin Giurea
 
Regulation and Compliance in the Data Driven Enterprise
Regulation and Compliance in the Data Driven EnterpriseRegulation and Compliance in the Data Driven Enterprise
Regulation and Compliance in the Data Driven Enterprise
Denodo
 
Unlocking value in your (big) data
Unlocking value in your (big) dataUnlocking value in your (big) data
Unlocking value in your (big) data
Oscar Renalias
 
How big data is transforming BI
How big data is transforming BIHow big data is transforming BI
How big data is transforming BI
DeZyre
 
Modern Integrated Data Environment - Whitepaper | Qubole
Modern Integrated Data Environment - Whitepaper | QuboleModern Integrated Data Environment - Whitepaper | Qubole
Modern Integrated Data Environment - Whitepaper | Qubole
Vasu S
 
Denodo DataFest 2016: Centralizing Data Security with Data Virtualization
Denodo DataFest 2016: Centralizing Data Security with Data VirtualizationDenodo DataFest 2016: Centralizing Data Security with Data Virtualization
Denodo DataFest 2016: Centralizing Data Security with Data Virtualization
Denodo
 
Asking the Right Questions of Your Data
Asking the Right Questions of Your DataAsking the Right Questions of Your Data
Asking the Right Questions of Your Data
DataWorks Summit
 
Rethink Analytics with an Enterprise Data Hub
Rethink Analytics with an Enterprise Data HubRethink Analytics with an Enterprise Data Hub
Rethink Analytics with an Enterprise Data Hub
Cloudera, Inc.
 

What's hot (20)

Why Data Virtualization? By Rick van der Lans
Why Data Virtualization? By Rick van der LansWhy Data Virtualization? By Rick van der Lans
Why Data Virtualization? By Rick van der Lans
 
Ensuring Data Quality and Lineage in Cloud Migration - Dan Power
Ensuring Data Quality and Lineage in Cloud Migration - Dan PowerEnsuring Data Quality and Lineage in Cloud Migration - Dan Power
Ensuring Data Quality and Lineage in Cloud Migration - Dan Power
 
Product Keynote: Denodo 8.0 - A Logical Data Fabric for the Intelligent Enter...
Product Keynote: Denodo 8.0 - A Logical Data Fabric for the Intelligent Enter...Product Keynote: Denodo 8.0 - A Logical Data Fabric for the Intelligent Enter...
Product Keynote: Denodo 8.0 - A Logical Data Fabric for the Intelligent Enter...
 
How to Crunch Petabytes with Hadoop and Big Data Using InfoSphere BigInsights...
How to Crunch Petabytes with Hadoop and Big Data Using InfoSphere BigInsights...How to Crunch Petabytes with Hadoop and Big Data Using InfoSphere BigInsights...
How to Crunch Petabytes with Hadoop and Big Data Using InfoSphere BigInsights...
 
¿En qué se parece el Gobierno del Dato a un parque de atracciones?
¿En qué se parece el Gobierno del Dato a un parque de atracciones?¿En qué se parece el Gobierno del Dato a un parque de atracciones?
¿En qué se parece el Gobierno del Dato a un parque de atracciones?
 
Multi Cloud Data Integration- Manufacturing Industry
Multi Cloud Data Integration- Manufacturing IndustryMulti Cloud Data Integration- Manufacturing Industry
Multi Cloud Data Integration- Manufacturing Industry
 
From Foundation to Mastery – Building a Mature Analytics Roadmap - Manav Misra
From Foundation to Mastery – Building a Mature Analytics Roadmap - Manav MisraFrom Foundation to Mastery – Building a Mature Analytics Roadmap - Manav Misra
From Foundation to Mastery – Building a Mature Analytics Roadmap - Manav Misra
 
Three Big Data Case Studies
Three Big Data Case StudiesThree Big Data Case Studies
Three Big Data Case Studies
 
Accelerating Fast Data Strategy with Data Virtualization
Accelerating Fast Data Strategy with Data VirtualizationAccelerating Fast Data Strategy with Data Virtualization
Accelerating Fast Data Strategy with Data Virtualization
 
HEALTHCARE ANALYTICS IN CLOUD
HEALTHCARE ANALYTICS IN CLOUDHEALTHCARE ANALYTICS IN CLOUD
HEALTHCARE ANALYTICS IN CLOUD
 
Hiring and Developing Analytics Talent in the CPG and Retail Industry - Mohi...
 Hiring and Developing Analytics Talent in the CPG and Retail Industry - Mohi... Hiring and Developing Analytics Talent in the CPG and Retail Industry - Mohi...
Hiring and Developing Analytics Talent in the CPG and Retail Industry - Mohi...
 
The Top 5 Factors to Consider When Choosing a Big Data Solution
The Top 5 Factors to Consider When Choosing a Big Data SolutionThe Top 5 Factors to Consider When Choosing a Big Data Solution
The Top 5 Factors to Consider When Choosing a Big Data Solution
 
Big data&DaaS
Big data&DaaSBig data&DaaS
Big data&DaaS
 
Regulation and Compliance in the Data Driven Enterprise
Regulation and Compliance in the Data Driven EnterpriseRegulation and Compliance in the Data Driven Enterprise
Regulation and Compliance in the Data Driven Enterprise
 
Unlocking value in your (big) data
Unlocking value in your (big) dataUnlocking value in your (big) data
Unlocking value in your (big) data
 
How big data is transforming BI
How big data is transforming BIHow big data is transforming BI
How big data is transforming BI
 
Modern Integrated Data Environment - Whitepaper | Qubole
Modern Integrated Data Environment - Whitepaper | QuboleModern Integrated Data Environment - Whitepaper | Qubole
Modern Integrated Data Environment - Whitepaper | Qubole
 
Denodo DataFest 2016: Centralizing Data Security with Data Virtualization
Denodo DataFest 2016: Centralizing Data Security with Data VirtualizationDenodo DataFest 2016: Centralizing Data Security with Data Virtualization
Denodo DataFest 2016: Centralizing Data Security with Data Virtualization
 
Asking the Right Questions of Your Data
Asking the Right Questions of Your DataAsking the Right Questions of Your Data
Asking the Right Questions of Your Data
 
Rethink Analytics with an Enterprise Data Hub
Rethink Analytics with an Enterprise Data HubRethink Analytics with an Enterprise Data Hub
Rethink Analytics with an Enterprise Data Hub
 

Viewers also liked

Activ Doctor Overview
Activ Doctor OverviewActiv Doctor Overview
Activ Doctor Overview
dbunker
 
Activ Developer Overview
Activ Developer OverviewActiv Developer Overview
Activ Developer Overview
dbunker
 
PostgreSQL performance monitoring
PostgreSQL performance monitoringPostgreSQL performance monitoring
PostgreSQL performance monitoring
guest3071c1c
 
Data Warehouse By Piyush
Data Warehouse By PiyushData Warehouse By Piyush
Data Warehouse By Piyush
astronish
 

Viewers also liked (6)

ITS-Fidel
ITS-FidelITS-Fidel
ITS-Fidel
 
Activ Doctor Overview
Activ Doctor OverviewActiv Doctor Overview
Activ Doctor Overview
 
Activ Developer Overview
Activ Developer OverviewActiv Developer Overview
Activ Developer Overview
 
Soccer
SoccerSoccer
Soccer
 
PostgreSQL performance monitoring
PostgreSQL performance monitoringPostgreSQL performance monitoring
PostgreSQL performance monitoring
 
Data Warehouse By Piyush
Data Warehouse By PiyushData Warehouse By Piyush
Data Warehouse By Piyush
 

Similar to Big dataservicesatfidel

02 a holistic approach to big data
02 a holistic approach to big data02 a holistic approach to big data
02 a holistic approach to big dataRaul Chong
 
BAR360 open data platform presentation at DAMA, Sydney
BAR360 open data platform presentation at DAMA, SydneyBAR360 open data platform presentation at DAMA, Sydney
BAR360 open data platform presentation at DAMA, Sydney
Sai Paravastu
 
Modern Data Challenges require Modern Graph Technology
Modern Data Challenges require Modern Graph TechnologyModern Data Challenges require Modern Graph Technology
Modern Data Challenges require Modern Graph Technology
Neo4j
 
Where HADOOP fits in and challenges
Where HADOOP fits in and challengesWhere HADOOP fits in and challenges
Where HADOOP fits in and challenges
Suvradeep Rudra
 
Keynote - Cloudera - Mike Olson - Hadoop World 2010
Keynote - Cloudera - Mike Olson - Hadoop World 2010Keynote - Cloudera - Mike Olson - Hadoop World 2010
Keynote - Cloudera - Mike Olson - Hadoop World 2010
Cloudera, Inc.
 
Cloudera - Mike Olson - Hadoop World 2010
Cloudera - Mike Olson - Hadoop World 2010Cloudera - Mike Olson - Hadoop World 2010
Cloudera - Mike Olson - Hadoop World 2010
Cloudera, Inc.
 
Creating a Next-Generation Big Data Architecture
Creating a Next-Generation Big Data ArchitectureCreating a Next-Generation Big Data Architecture
Creating a Next-Generation Big Data Architecture
Perficient, Inc.
 
Creatinganext generationbigdataarchitecture-141204150317-conversion-gate02
Creatinganext generationbigdataarchitecture-141204150317-conversion-gate02Creatinganext generationbigdataarchitecture-141204150317-conversion-gate02
Creatinganext generationbigdataarchitecture-141204150317-conversion-gate02
email2jl
 
Are You Prepared For The Future Of Data Technologies?
Are You Prepared For The Future Of Data Technologies?Are You Prepared For The Future Of Data Technologies?
Are You Prepared For The Future Of Data Technologies?
Dell World
 
Big-Data-Seminar-6-Aug-2014-Koenig
Big-Data-Seminar-6-Aug-2014-KoenigBig-Data-Seminar-6-Aug-2014-Koenig
Big-Data-Seminar-6-Aug-2014-KoenigManish Chopra
 
Big data for sales and marketing people
Big data for sales and marketing peopleBig data for sales and marketing people
Big data for sales and marketing people
Edward Chenard
 
Die Big Data Fabric als Enabler für Machine Learning & AI
Die Big Data Fabric als Enabler für Machine Learning & AIDie Big Data Fabric als Enabler für Machine Learning & AI
Die Big Data Fabric als Enabler für Machine Learning & AI
Denodo
 
Hadoop: Making it work for the Business Unit
Hadoop: Making it work for the Business UnitHadoop: Making it work for the Business Unit
Hadoop: Making it work for the Business UnitDataWorks Summit
 
Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...
Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...
Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...
Denodo
 
Five Attributes to a Successful Big Data Strategy
Five Attributes to a Successful Big Data StrategyFive Attributes to a Successful Big Data Strategy
Five Attributes to a Successful Big Data Strategy
Perficient, Inc.
 
Big Data's Impact on the Enterprise
Big Data's Impact on the EnterpriseBig Data's Impact on the Enterprise
Big Data's Impact on the Enterprise
Caserta
 
Create your Big Data vision and Hadoop-ify your data warehouse
Create your Big Data vision and Hadoop-ify your data warehouseCreate your Big Data vision and Hadoop-ify your data warehouse
Create your Big Data vision and Hadoop-ify your data warehouse
Jeff Kelly
 
Getting Started with Big Data for Business Managers
Getting Started with Big Data for Business ManagersGetting Started with Big Data for Business Managers
Getting Started with Big Data for Business Managers
Datameer
 
The Forrester Wave - Big Data Hadoop
The Forrester Wave - Big Data HadoopThe Forrester Wave - Big Data Hadoop
The Forrester Wave - Big Data Hadoop
IBM Software India
 

Similar to Big dataservicesatfidel (20)

02 a holistic approach to big data
02 a holistic approach to big data02 a holistic approach to big data
02 a holistic approach to big data
 
BAR360 open data platform presentation at DAMA, Sydney
BAR360 open data platform presentation at DAMA, SydneyBAR360 open data platform presentation at DAMA, Sydney
BAR360 open data platform presentation at DAMA, Sydney
 
Modern Data Challenges require Modern Graph Technology
Modern Data Challenges require Modern Graph TechnologyModern Data Challenges require Modern Graph Technology
Modern Data Challenges require Modern Graph Technology
 
Keyrus US Information
Keyrus US InformationKeyrus US Information
Keyrus US Information
 
Where HADOOP fits in and challenges
Where HADOOP fits in and challengesWhere HADOOP fits in and challenges
Where HADOOP fits in and challenges
 
Keynote - Cloudera - Mike Olson - Hadoop World 2010
Keynote - Cloudera - Mike Olson - Hadoop World 2010Keynote - Cloudera - Mike Olson - Hadoop World 2010
Keynote - Cloudera - Mike Olson - Hadoop World 2010
 
Cloudera - Mike Olson - Hadoop World 2010
Cloudera - Mike Olson - Hadoop World 2010Cloudera - Mike Olson - Hadoop World 2010
Cloudera - Mike Olson - Hadoop World 2010
 
Creating a Next-Generation Big Data Architecture
Creating a Next-Generation Big Data ArchitectureCreating a Next-Generation Big Data Architecture
Creating a Next-Generation Big Data Architecture
 
Creatinganext generationbigdataarchitecture-141204150317-conversion-gate02
Creatinganext generationbigdataarchitecture-141204150317-conversion-gate02Creatinganext generationbigdataarchitecture-141204150317-conversion-gate02
Creatinganext generationbigdataarchitecture-141204150317-conversion-gate02
 
Are You Prepared For The Future Of Data Technologies?
Are You Prepared For The Future Of Data Technologies?Are You Prepared For The Future Of Data Technologies?
Are You Prepared For The Future Of Data Technologies?
 
Big-Data-Seminar-6-Aug-2014-Koenig
Big-Data-Seminar-6-Aug-2014-KoenigBig-Data-Seminar-6-Aug-2014-Koenig
Big-Data-Seminar-6-Aug-2014-Koenig
 
Big data for sales and marketing people
Big data for sales and marketing peopleBig data for sales and marketing people
Big data for sales and marketing people
 
Die Big Data Fabric als Enabler für Machine Learning & AI
Die Big Data Fabric als Enabler für Machine Learning & AIDie Big Data Fabric als Enabler für Machine Learning & AI
Die Big Data Fabric als Enabler für Machine Learning & AI
 
Hadoop: Making it work for the Business Unit
Hadoop: Making it work for the Business UnitHadoop: Making it work for the Business Unit
Hadoop: Making it work for the Business Unit
 
Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...
Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...
Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...
 
Five Attributes to a Successful Big Data Strategy
Five Attributes to a Successful Big Data StrategyFive Attributes to a Successful Big Data Strategy
Five Attributes to a Successful Big Data Strategy
 
Big Data's Impact on the Enterprise
Big Data's Impact on the EnterpriseBig Data's Impact on the Enterprise
Big Data's Impact on the Enterprise
 
Create your Big Data vision and Hadoop-ify your data warehouse
Create your Big Data vision and Hadoop-ify your data warehouseCreate your Big Data vision and Hadoop-ify your data warehouse
Create your Big Data vision and Hadoop-ify your data warehouse
 
Getting Started with Big Data for Business Managers
Getting Started with Big Data for Business ManagersGetting Started with Big Data for Business Managers
Getting Started with Big Data for Business Managers
 
The Forrester Wave - Big Data Hadoop
The Forrester Wave - Big Data HadoopThe Forrester Wave - Big Data Hadoop
The Forrester Wave - Big Data Hadoop
 

Big dataservicesatfidel

  • 1. BIG DATA SERVICES AT FIDEL TECHNOLOGIES 6 Feb 2013 For any particular queries, dedicated center or partnership solutions please do reach out to us at – infofidel@fideltech.com Contact: Sunil Kulkarni (Tokyo) – 81-90-8348-9892 Sushrut Potdar (India) – 91-20-66463203
  • 2. Fidel Offerings • We offer services around Big Data platforms and have in- house expertise on various technologies used to deliver Big Data solutions • We partner with potential clients to build solutions together to gather business intelligence from the amassed Big Data and add value to their business
  • 3. The Big Data Challenge • Organizations have experienced tremendous explosion in data and have stored-up data for so many years • Big Data is characterized by Volume (amount of data in bytes), velocity (the rate it is collected) and variety (different formats) • Organizations are unable to cope up with all these three characteristics thereby unable to unlock the business value to the fullest. • A recent Forrester survey found that the top reasons of why organizations are interested in big data were data volume (75 percent of respondents), analysis driven requirements (58 percent), data diversity (53 percent), velocity of change and scope, unpredictability of data (38 percent) and cost of big data being less expensive than traditional business intelligence and data warehouse solutions (30 percent)
  • 4. Big Data Opportunities • Big Data helps us to extract insight and knowledge, identify trends and improve productivity which leads to competitive advantage • Because many organizations are still not aware of the various possibilities of what they can do with the data, this is definitely the next frontier for innovation, competition and productivity • Big Data answers the questions that were beyond reach in the past
  • 5. Fidel’s Capabilities and Skills • Hadoop • NoSQL Databases  MapReduce  MongoDB  HDFS  Cassandra  HiveQL, Pig  HBase  Oozie, Zookeeper • Big Data Platforms  Data Collection (Flume, Sqoop)  Apache Hadoop  Apache Mahout (Data Mining)  Cloudera  Cluster Setup and Administration  MapR
  • 6. Fidel Services • Fidel OneProfile Service – creates an integrated view of profile based on various online profiles (Facebook, Twitter) • Big Data Infrastructure Management (Cluster deployment, configuration and monitoring) • Big Data Integration and Migration (Data Cleaning, Data Migration using Sqoop and Flume) • Application development using Big Data Technologies (Hadoop, Hive, Pig, Hbase) • Big Data Analytics (Data Mining, Predictive Analytics) • Big Data Visualization (Pentaho BI)
  • 7. Fidel Solutions (potential ideas to partner with clients) (to name a few) -1 • A solution to flag off possible cases for inside trading based on checks on the huge financial transaction data. This is not a fool-proof solution but flagging of such data surely can help financial institutions to show compliance authorities that they are taking steps to protect themselves • A solution to find expiry date, case number, composition details, trace supply chain management for medicines and pharma products – thereby giving the power in the hands of consumer. Pharma companies can brand such solution and reach out to consumers.
  • 8. Fidel Solutions (potential ideas to partner with clients) (to name a few) -2 • A solution that mines patient Data (without confidential personal details) at key hospitals on a daily basis can help medical as well as state authorities to predict cases of epidemic well in advance & take corrective actions. • A solution that can mine through multi-lingual data for airlines reservation, online product support, ecommerce product purchase data and help corporates to transfer back important customer feedback to internal departments & take corrective actions to generate more value • A solution to mine customer sales POS or ecommerce data and apply this intelligence from the data to business thereby unlocking more value from the business
  • 9. Engagement Models • At Fidel, we are open to work on different engagement models namely: T&M, Turnkey project, Offshore development center (dedicated resources for a client) or a partnership model • The partnership model is for cases where the client and Fidel jointly partner to develop a solution and share IPR as well as revenues.
  • 10. Fidel Advantages • Strong Technical Team and Expertise • Flexibility on engagement models • In-house Multi-lingual expertise (Japanese, English, Indian Languages, German, French, Spanish) and hence can mine through multi-lingual data • Very cost effective • Young and dynamic team – agility of a startup and maturity of a mid level company (ISO9001:2008 certified) For any particular queries, dedicated center or partnership solutions please do reach out to us at – infofidel@fideltech.com Contact: Sunil Kulkarni (Tokyo) – 81-90-8348-9892 Sushrut Potdar (India) – 91-20-66463203