Big Data Engineering

Big Data Consulting Services

Access to quintillions of bytes of data every day provides organizations with the promise of insights that can turn their businesses around. However, to be able to leverage the insights requires a data management strategy. Apart from introducing an element of complexity to big data solutions, it also increases the cost of implementation and maintenance. Therefore, being able to sieve data, select the meaningful ones and to use them for smart decision making requires big data engineering capabilities.

big data

Big Data Engineering

Quality
Assurance

Advanced Analytics

Blockchain Solutions

Product Development

GAIN THE INDIUM ADVANTAGE!

Indium’s big data engineering solutions enable organizations to:

Plan, design and deploy a big data program across multiple domains and focus areas

Validate the data sources

Develop and implement big data solutions across business verticals

Maintain and manage big data services

Prepare them for scale and platform to drive vision and value

Create data lakes to leverage the data to get actionable insights

Identify, prevent and resolve big data security risks

Indium’s big data engineering solutions enable organizations to:

Plan, design and deploy a big data program across multiple domains and focus areas
Prepare them for scale and platform to drive vision and value
Validate the data sources
Create data lakes to leverage the data to get actionable insights
Develop and implement big data solutions across business verticals
Identify, prevent and resolve big data security risks
Maintain and manage big data services

We help organizations garner the right customer insights leading to newer revenue sources through cross sell and up sell, driving profitability. From strategy road map, tech evaluation, and proof of concept to platform customization and implementation, our experts are always at hand to help you navigate all stages of your big data journey.

Indium’s Service offering for Big Data Engineering include:

BIG DATA CONSULTING SERVICES

BIG DATA ASSESSMENT

STRATEGY FOR THE USE CASE OF BIG DATA PROBLEMS

Indium’s end-to-end service delivery model encompasses:

Consulting

Architecture Analysis

Cluster setup (on premise and on cloud)

Migration

Infrastructure sizing and provisioning

Platform support

DevOps Support

Application development

Application migration

Maintenance & Support

Performance tuning

Administration

Cluster monitoring

Backup & Recovery

Version/Patch management

Indium also offers packaged services with committed SLA and competitive pricing.

Indium’s Data Consulting

Indium offers a range of consulting services including:

Data Acquisition, Processing and Management through augmentation, technical architecture, managing ETL processes, facilitating application maintenance, and in regulatory compliance

Automation of services and provisioning of cloud storage.

Automated functional, data load and data validation testing

24/7 monitoring and end to end administration of data with support at various levels

Data security

Technologies we work with, include:

Hadoop

Native and distributed versions of Hadoop – Cloudera, HortonWorks and MapR

NoSQL Databases

Wide Column – HBase, Cassandra | Document – MongoDB | Key Value – Amazon Redis | Graph – Neo4j

Big Data Ecosystem components

Apache Spark (Streaming & Batch), Apache Storm, Apache Kafka, Apache SOLR, Elastic Search, Hive, Pig, Sqoop, Flume, Yarn, Oozie, ZooKeeper, Hue

Cloud

AWS (RDS, Redshift, EC2, S3), Google, Azure

Our Agile Management Services Framework helps us implement best practices in implementing Big Data Engineering Services, including:

Strategy

Work closely with business stakeholders and understand key business requirements.

Demonstrate business value through Big Data use cases (improve customer experience, optimize operations, reduce churn, manage risks etc.) that align with the business requirements.

Devise a strategic road map, evaluate and recommend technology choices, after analyzing existing infrastructure and performing readiness assessment.

Architecture

Conceptualize the Big Data Solution through solution architecture augmented with technologies and infrastructure that align with the business strategy.

Based on the quantum of enhancement/business alignment required, only implementation phase or both Pilot /Prototype and Implementation phases are iterated in every sprint.

Implementation

Develop the low-level and database designs

Extend the pilot/prototype application developed by writing additional program as required.

Integrate the existing systems and migrate data before deployment and testing

Obtain sign off from QA team

Pilot/Prototype

Deliver Proof of Concept (POC)

Test the pilot/prototype and then obtain sign-off from business.

Design and develop an end-to-end pilot/prototype application that demonstrates business value, technology capability, and gives a fair idea about the time-to-value

Production

Cut over activities would be performed and production environment would be setup in parallel.

The application signed off by the QA is then be moved to production

The application is maintained and administered for the warranty/maintenance period duration.

Framework Advantage

Some of the benefits of using the framework include:

Early risk reduction approach

Closer alignment with business needs

Iterative and incremental delivery of valuable chunks within weeks

More clarity and control over requirements

CALIFORNIA

Suite 210, 1250 Oakmead Parkway
Sunnyvale, CA – 94085, USA.
Fax: +1(408) 501-8808
Toll-free: 1-888-272-4720


NEW JERSEY

Suite 150, 300 Carnegie Center
Princeton, NJ – 08540, USA.
Toll-free: 1-888-272-4720

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Indium Software delivers exceptional customer-centric solutions for evolving business needs across Digital, QA and Gaming for Fortune 100 – Global 5000 Clients. We have spearheaded and supported many technology-led business transformation programs for our clients.

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