A Great Use of the Cloud

Two Journeys to Teradata IntelliCloud™ for Disaster Recovery and Test / Dev Environments

INTRODUCTION

Recent trends in information management see companies shifting their focus to, or entertaining a notion for the first time of, a cloud-based solution. In the past, the only clear choice for most organizations has been on-premises data—oftentimes using an appliance-based platform. However, the costs of scale are gnawing away at the notion that this remains the best approach for all or some of a company’s analytical needs.

FACTORS DRIVING DATA PROJECTS TO THE CLOUD

1.

The business case to scale up additional appliances to expand storage, analytical workload capacity, or disaster recovery is sometimes difficult to sell

Appliances bring power and familiarity to companies, but the business case to scale up additional appliances to expand storage, analytical workload capacity, or disaster recovery is sometimes difficult to sell to those in the organization holding the purse strings. Clearly, cost in purchasing and maintaining an additional appliance can be a barrier to growing information management and analytical capabilities. Other concerns include the real estate needed for additional appliances and the complexity and in-house talent required. All the while, the need for warehouse appliance capacity is strong, because the business need and appetite for data remains.

2.

Significant amounts of important data are being sourced from the cloud

Internet-of-Things, social media, clickstream, e-commerce, and other valuable treasure troves of analytical data are born in a cloud. The sheer mass of data “out there” rather than “in here” is causing data gravity to shift outside of the organization. That means organizations who are pulling this data down from the cloud, integrating it, transforming it, and storing it on-premises is moving the heavier data load to the analytics, rather than simply taking the analytics to the data where it lives. This can be an overly-complex and unnecessary effort.

3.

Many organizations are simply overwhelmed by the data volumes and business needs and appetite for more and more information

On-premises enterprise data warehouses (EDWs) and analytical platforms are often operating near capacity in terms of storage or performance. To compound the issue, much of this data is considered highly valuable and mission-critical. Companies maintaining two or three appliances for disaster recovery and testing/development are grappling with data volume and performance overload as well as the cost of maintaining multiple environments.

Any organization considering a cloud-based information management solution should consider the following:

Data staging and change data capture processes
Quality assurance, data validation, profiling, and data quality
Exception handling processes, load job restarts, rollbacks, audits, and data traces
Data availability service-level agreements and windows for extraction
Security, privacy, and encryption
Disaster recovery

CASE STUDIES

Meredith Corporation: A Media and Marketing Services Company

Meredith Corporation: A Media and Marketing Services Company

Scale and disaster recovery surfaced as a key priority in deciding to implement Teradata IntelliCloud™

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A Multinational Agriculture Company

A Multinational Agriculture Company

Leveraging Teradata IntelliCloudTM for its disaster recovery strategy.

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Meredith Corporation: A Media and Marketing Services Company

Meredith Corporation: A Media and Marketing Services Company

Scale and disaster recovery surfaced as a key priority in deciding to implement Teradata IntelliCloud™

Read the Case Study ►

A Multinational Agriculture Company

A Multinational Agriculture Company

Leveraging Teradata IntelliCloud™ for its disaster recovery strategy.

Read the Case Study ►
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CASE STUDY #1
Meredith Corporation 
Meredith Corporation 
Meredith Corporation 
Introduction 
Key Deciding Factors 
Implementation 
Tips for Success 
CASE STUDY #2
A Multinational Agriculture Company 
A Multinational Agriculture Company 
A Multinational Agriculture Company 
Introduction 
Disaster Recovery Options 
Implementation 
Tips for Success