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Big Data

Big Data

Harnessing the Power of Big Data Analytics to Drive Better Business Decisions Application Development & Maintenance​​​​​​​​​​​​​​

Evoke Technologies > Private: services > Big Data

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To remain agile and flexible in changing business environments, enterprises need to rethink their approach to traditional enterprise data storage to utilize the Big Data strategies and harness the significant opportunities Big Data analytics offer.

Evoke Technologies Big Data services empower organizations to deploy a comprehensive & well-considered big data program across different domains and focus areas. Our Big Data specialists help our clients derive insights from mountains of diverse data while developing Big Data Engineering capabilities to drive vision and value.

We believe, Big data is now a must-have data management and processing solution to produce insights to gain a competitive advantage for every business. Let Evoke define and deliver your Big Data strategy. Choose one of our service offerings to apply the power of Big Data to your enterprise.

Service Offerings
Data Science Consulting

Consulting Services

 

  • Enterprise Data Assessment
  • Big Data Strategy Definition
  • Big Data Lab on demand
  • Usecase Identification
  • Idea to implementation
Data Science Consulting

Architecture & Design

 

  • Cluster Capacity Planning
  • Hadoop Cluster Setup
  • Reference Architecture
  • Data Modeling
machine learning development

Data Management (Development)

  • Data Ingestion Development
  • Custom Data Processing Development
  • Implement Data Lake and Data Warehouse
  • Integration with Enterprise DW and Applications
  • Hadoop Administration & Support
machine learning development

Advanced Analytics

 

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

Technology Specialization

Distributions

Hadoop Eco System

Data Ingestion

WH & DB

Querying Tools

Streaming/Messaging

Coordination & Workflow

Administration & Monitoring

Machine Learning (ML)

Packaged Solutions
UX Design Services, Evoke


Hadoop Administration and Support
  • Managing Cluster and Monitoring Cluster Health
  • Managing Users and Groups
  • Setting up Alerts, Alarms, and Checking Alarm
  • Setting Up Email Addresses and SMTP
  • Log Analysis
  • Monitoring Performance
  • Monitor and Analyze Job Metrics
  • Configuring Balancer Settings
  • Monitoring and Managing Cluster Resource Allocation
  • Memory Allocation for Nodes
  • Managing Roles and Services
  • Managing Licenses
  • Setting up the Metrics Database
  • Setting Quotas for Users and Groups
  • Auditing support
  • Monitor and Provide Service Metrics
  • Monitoring Node Metrics
  • Third-Party Monitoring Tools (If any)
  • Managing Licenses

Get Started

Single Page Application Development Services


Data Lake Setup
  • Infrastructure Setup (any Cloud)
  • Distribution Setup (Options: Cloudera, MapR, or Hortonworks)
  • Data Ingestion (Real-time/Historic data from any number of data sources)
  • Metadata Store
  • Indexing and Searching
  • Add-Ons
  • Data Modeling and Processing
  • Application Layer
  • Analytics and Visualization

Get Started

Progressive Web Application Development


Big Data PaaS
  • Infrastructure Setup (any Cloud)
  • Distribution Setup (Options: Cloudera, MapR, or Hortonworks)
  • Data Ingestion Setup Up to 3 Sources
  • Administration and Support
  • Add-Ons
  • Data Analysis
  • Data Ingestion
  • Data Processing
  • Data Reporting

Get Started

Progressive Web Application Development


Capacity Planning
  • XLS Based Tool
  • Takes per day raw data consumption as input
  • Takes per node configuration available (defaults basic configuration)
  • Produces the numbers of nodes required to start with and yearly increase

Get Started

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Case Studies

Data Lake & Brand Protection Predictive Model

Data Lake with 100TB of Storage with 7TB of data being ingested and processed weekly with a 2-class Boosted Decision Tree with 87.3% Accuracy.

Learn how Evoke gathered and processed large data sets related to brand infringement, trademark, and domains while leveraging an anti-phishing algorithm to assign proximity score and filter the probable phishing cases/URLs. Our solution helped the client to strengthen their brand’s credibility, streamline the mechanism to gather, analyze, and report customers’ brands and trademarks data on a day-to-day basis.

View

Related Resources
  • Blogs

Blogs

Next level of Digital Engineering

How to Bring your Business to its Next level of Digital Engineering

Introduction Most digital transformations don’t yield the benefits that enterprises expect. 53% of enterprises fail to provide any business value whatsoever from their digital transformation efforts, says an Everest Group…

Read more
Apache Spark Job

Techniques to Tune Apache Spark Job

To write a Spark program it is crucial to first understand Apache Spark’s underlying execution model. In this blog post, we will talk about some of the key aspects we…

Read more
Hadoop Combiners

Role of Hadoop Combiner in MapReduce API

In my previous blog, I discussed about Hadoop Counter. In this post, I would like to focus on Hadoop Combiner, a highly useful function offered by Hadoop. Similar to my previous…

Read more

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