The Cloudera Data Platform - Making Easy, Optimized Analytics a Reality in the Hybrid Era

The Cloudera Data Platform - Making Easy, Optimized Analytics a Reality in the Hybrid Era

RELEASE DATE
25-Oct-2019
REGION
North America
Research Code: 9B0F-00-78-00-00
SKU: IT03951-NA-SF_23711

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Special Price $2,250.00 save 25 %

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SKU
IT03951-NA-SF_23711

$3,000.00

$2,250.00 save 25 %

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Description

As businesses tap new technologies to gain a competitive edge, they are increasingly adding next-generation services like advanced analytics, artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and blockchain to their applications. According to a 2019 Frost & Sullivan survey of IT decision-makers, adoption of these technologies is growing at robust rates:
·     63% of businesses worldwide have adopted artificial intelligence and machine learning, with 72% expecting to increase their investment over the next two years
·     65% have adopted IoT, with 72% anticipating an increase in their IoT spending by 2021
·     50% have deployed blockchain or distributed ledger technology (DLT), with another 64% expecting to adopt by 2021

These technologies involve massive amounts of data, which means that implementation requires a robust infrastructure that is optimized to process data at the intended levels. To achieve this, enterprises can implement a Big Data and Analytics platform, on premises or in the cloud; but most of these are proprietary stacks that are designed to specifically handle particular applications and data. Or they can deploy niche solutions that handle just one piece of the larger advanced analytics “puzzle.”

Additionally, enterprises need to find a way to apply consistent security profiles to data that extends across infrastructures (e.g., on the business premises, at edge location, or in the cloud).

Cloudera, an open-source-based data management and analytics company, has created a robust, open-sourced, cloud-based data platform that is designed to handle the heavy-duty processing of data using advanced analytics across multiple infrastructures, whether on the customer premises or in a public or private cloud.

This week’s SPIE looks at the market need for such a platform, specific features and functionality of the service, and the business benefits of such a platform.

Table of Contents

Introduction

Defining the Need for an Open-Source Data Processing Platform

The Cloudera Data Platform

Architecture

Security

CDP Benefits for Enterprises with Big Data Initiatives

Stratecast - The Last Word

About Stratecast

About Frost & Sullivan

Related Research
As businesses tap new technologies to gain a competitive edge, they are increasingly adding next-generation services like advanced analytics, artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and blockchain to their applications. According to a 2019 Frost & Sullivan survey of IT decision-makers, adoption of these technologies is growing at robust rates: · 63% of businesses worldwide have adopted artificial intelligence and machine learning, with 72% expecting to increase their investment over the next two years · 65% have adopted IoT, with 72% anticipating an increase in their IoT spending by 2021 · 50% have deployed blockchain or distributed ledger technology (DLT), with another 64% expecting to adopt by 2021 These technologies involve massive amounts of data, which means that implementation requires a robust infrastructure that is optimized to process data at the intended levels. To achieve this, enterprises can implement a Big Data and Analytics platform, on premises or in the cloud; but most of these are proprietary stacks that are designed to specifically handle particular applications and data. Or they can deploy niche solutions that handle just one piece of the larger advanced analytics “puzzle.” Additionally, enterprises need to find a way to apply consistent security profiles to data that extends across infrastructures (e.g., on the business premises, at edge location, or in the cloud). Cloudera, an open-source-based data management and analytics company, has created a robust, open-sourced, cloud-based data platform that is designed to handle the heavy-duty processing of data using advanced analytics across multiple infrastructures, whether on the customer premises or in a public or private cloud. This week’s SPIE looks at the market need for such a platform, specific features and functionality of the service, and the business benefits of such a platform.
More Information
No Index No
Podcast No
Author Karyn Price
Industries Information Technology
WIP Number 9B0F-00-78-00-00
Is Prebook No
GPS Codes 99E4-C1,9455,D562