Proactively and holistically monitor platforms with the Ximna Data Operations Workbench

Data Operations Service Overview

We are witnessing changing enterprise data platform needs due to exponential growth in the size of data to be processed, the need for real-time data processing, data in various structures and formats, an amalgamation of traditional BI and big data systems. These phenomena demand a completely new enterprise platform which is scalable, dynamic, data formats agnostic, quick to deploy and extremely cost efficient for the build as well as operations. Ximna Data and Analytics caters to this need via a focused Data Operations offering. An automation and innovation-driven approach will bring radical improvement to the way platforms are designed, built and supported.

Ximna Data Operations enables building a NexGen platform that caters to various data formats (structured, semi-structured & unstructured), with the right set of tools and technologies while managing the platform efficiently with low cost of ownership.

Data Operations Service Offerings

Data Operations / 01

Design Services

  • Infrastructure Consulting: Choosing the right Infra for the right platform, with virtualization and reference Hardware configurations
  • BI/Big Data Consulting: Assessment of the BI/BD roadmap with consulting regarding selecting the right BI stack / Hadoop distribution for organization needs
Data Operations / 02

Build-Engineering Services

  • Build: Design and build of the platform according to reference architecture, suitable for organization needs, including guidance on the tools and process setup
  • Security setup: Setting up appropriate security levels in accordance with organization controls and governance policies
  • Capacity Planning: Initial sizing and on-going utilization trend monitoring for capacity changes
Data Operations / 03

Operate – Managed/Shared Services

  • Managed Services: End to end operations management for the entire BI / BD platforms
  • Shared Services: Setting up a shared services team to support full stack BI / BD platforms (Ingestion/ETL – Data Stores – Reporting/Visualization)
  • Environment Management: Minor and Major upgrades, patching, failover/DR services
  • ITIL based support models
  • Continuous Automation

Challenges & solutions

Lack of flexibility to choose services based on business demand in BI platform and extensive infrastructure costs

Hadoop as a Service (HaaS) provides option to customer to choose from various services including Infrastructure, Advisory, On-boarding, Run and Operate services, to enable faster time to Market, and less TCO, along with Engineering solutions and Automations implemented across the life cycle to cater to business need.

Lack of scalability of the Big data platform to meet business needs

A Pioneered and proven solution for scalability with minimal impact to business; Big data Platform Scale is achieved by implementing Engineering solutions in Platform expansion, Shrinks and upgrades with the aid of extreme automations in Platform monitoring and maintenance.

Inefficiency in managing technologically diverse Platforms with similar operating model, resulting in high resource costs.

Implemented Shared Services operating model with cross-skilled common teams, supporting multiple technologies and LoBs, which resulted in considerable reduction of resource cost, enhanced support coverage and improved SLAs.

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