Big Data

The Challenge

There is a tremendous amount of information driven by the ever changing applications, from structured, unstructured, to semi-structure data. Conventional IT infrastructure is not built to handle the variety, velocity and volume of the data produced by social media networks, mobile applications, machine sensors and scientific researches, etc.

For Enterprises, utilizing big data analytics is no longer a question of when, it is a question of how. Hadoop, designed for the cost-effective storage and processing of large volumes of data, is born for this purpose. It can linearly scale up to thousands of servers and petabytes of storage.

How to take advantage of Hadoop technology and gain competitive edge

Enterprises deploying Hadoop solutions often spend large amount of resource searching for the best architecture and the most capable solution provider. This is where IDEL comes in to help.

The Challenge, Solutions & Advantage

Introducing Big Data clusters, a series of optimized big data solutions that provide high performance, high reliability and high scalability

Designed

from ground up with optimal server and cluster configurations that meet a variety of workloads

End-to-end

turnkey Hadoop clusters with completely integrated HW, SW and Global Support

Proven

solutions based on extensive lab testing and large scale production deployments

Enhanced

networking performance and redundancy with dual 10GbE / 25GbE / 40GbE / 100GbE options

Achieve

the best price/performance and the best price/capacity with industry leading server and storage platforms

Automated

full cluster testing guarantees build quality and delivery schedule

Big Data Use Cases

IT Services

Virtualization, Databases

M&E

Media Editing, Archive

Banking

High-Performance Block Storage

MSPs/CSPs

Dynamic Deployment on hardware

Insurance

Long Term Archive, Data Lakes

Healthcare

PACS Images, Data Lakes

EDU/Research

Physics/Astronomy Departments

GOV / Industry

Scale-Out & Scale-Up Configurator

Structured

Any data that can be stored, accessed and processed in the form of fixed format is termed as a ‘structured’ data

Unstructured

Any data with unknown form or the structure is classified as unstructured data. In addition to the size being huge

Semi-structured

Semi-structured data can contain both the forms of data. We can see semi-structured data as a structured in form but it is actually not defined