Big Data Solutions

Big data is now a must-have data management and processing solution to produce insights to gain competitive advantage for every business. Let Evoke help you define and deliver your big data strategy. Choose one of the below options to have Big Data in your enterprise.

  • Supplement to Existing Enterprise Data Warehouse

    Transactional and structured data will continue to be managed in EDW while interpretive and interactive data would be managed using the Big Data platform.

  • Alternate to Existing Enterprise Data Warehouse

    Big Data platform to be ONE Data Hub for all Data thereby helping enterprises meet the challenging analytical needs of the modern enterprise.

  • Building Enterprise-Ready Data Lake

    Helping enterprises setup a data lake which can be seen as a data source for the EDW and all enterprise wide applications.

Don't get buried. We have the experience, skills and tools you require to turn your business problems into business insights.

Solutions Offerings

Consulting Services

  • Enterprise Data Assessment
  • Big Data Strategy Definition
  • Big Data Lab On-demand
  • Use Case Identification
  • Idea to Implementation

Architecture and Design

  • Cluster Capacity Planning
  • Hadoop Cluster Setup
  • Reference Architecture
  • Data Modeling

Data Management (development)

  • Data ingestion Development
  • Custom Data Processing Development
  • Implement Data Lake and Data warehouse
  • Integration with Enterprise DW and Applications
  • Hadoop Administration and Support

Advanced Analytics

  • Traditional BI (Reporting and Visualization)
  • Predictive Analytics and Pattern Analysis (Using Machine Learning)

Technology Stack

  • Distributions

  • Hadoop cloudera
  • Hadoop mapr
  • Hadoop hortonworks
  • Hadoop Eco System

  • Hadoop mahout
  • Hadoop spark
  • Hadoop sqoop
  • Data Ingestion

  • flume
  • sqoop
  • nifi
  • presto
  • DWH & DB

  • hbase
  • hive
  • Querying Tools

  • loudera_impala
  • apache_drill
  • Pig
  • Streaming/Messaging

  • apache-kafka
  • flink
  • Coordination & Workflow

  • oozie1
  • Integrations
  • Administration & Monitoring

  • cloudera
  • Hadoop hortonworks
  • Hadoop hbase
  • Hadoop cassandra
  • Hadoop cassandra
  • Machine Learning (ML)

  • rml
  • Hadoop hortonworks

Evoke Data Edge

Evoke’s Data Center of Excellence (DCoE) consists of more than 60 experienced professionals with versatile capabilities in Data management and Data Analytics space.

We have launched a technology and subject matter expert initiative called Evoke Data Edge (EDE) which is one of the best data ecosystems that helps enterprise data teams to develop and enable industry-specific data management and processing ecosystems to exploit data and insights and act on them immediately. Further, the primary focus of the EDE team is to understand the rapid evolution and changes in technology, particularly in the Data space, explore through their labs and provide advanced solutions to deliver the best value.

Processing unstructured data, complementing and replacing current EDW with Big Data platform as one EDH (Enterprise Data Hub), as well as establishing Data Lake using Big Data platform which will be the source for all data needed – These are the key areas on which the customers are focusing to leverage Big Data Solution. Want to know more about our Evoke’s DCoE?

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Why Choose Evoke?

Our Big Data & Analytics Solutions helps businesses gain competitive edge through innovation, flexibility and agility.

Innovation Labs

R & D labs to accelerate innovation and provide business value to our clients

Rapid Deployment

Experience on emerging technologies helps us to rapidly build and deploy innovative solutions

Agile Practice

Dedicated Onshore/Offshore teams to minimize costs

Skilled Professionals

Dedicated Big Data practice and skilled resources to facilitate effective transformation

Big Data Insights

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Hadoop – Counters in MapReduce API with Example

Big data is a gaining massive popularity in today’s information driven era. It is considered as one of the hottest IT buzzword in 2015. It has the potential to solve key business.

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Sentiment Analysis Using R Language

Sentiment analysis (also known as opinion mining) refers to the use of natural language processing (NLP), text analysis and computational linguistics to identify and extract subjective.

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Contact Us

To know more about our Big Data & Analytics Solutions talk to our experts.

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