Название: Accelerating Enterprise Digital Transformation with a Next Generation Database
Автор: Steve Suehring
Издательство: O’Reilly Media, Inc.
Год: 2022-01-11
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Determining the best database infrastructure for digital transformation can be tricky. How your organization stores and provides access to data can determine the success or failure of the entire enterprise. Data silos can't properly serve all your organization's needs. Managing multiple databases requires more maintenance, costs, and complexity. How do you determine the right balance?

In this report, author Steve Suehring examines the need for next-generation databases and then guides you through the various attributes you need to consider when choosing the right platform for your company. With the increasing abundance and depth of data lakes, the ability to capitalize on real-time analytics becomes more difficult unless the database platform can support and accelerate enterprise digital transformation.

Database platforms and their identified use cases are sometimes divided into processing transactional data and processing analytical data. Transactional data needs to be fully available and have fast, frequently instant, response times. At times, transactional data exists only for the duration of a session or only for a short period, the length of the transaction itself. By definition then, transactional data is not always completely captured for analytical processing later. This is a missed opportunity.
New opportunities are found by analyzing data, but if analysis doesn’t occur until after an event, the potential gain is naturally reduced. Data analysis often requires migration to another system through an extract, transform, and load (ETL) process that is also often costly. Being able to extract knowledge and value from data in real time by combining elements of transactional and analytical processing into a single platform helps bridge the gap. The challenge is that the transactional-to-analytical bridge needs to exist even for multiterabyte datasets.

The need for HTAP databases has existed for years. However, the nature of business has changed so significantly and so rapidly that enterprises can no longer afford to operate with yesterday’s processes of moving data around. Along with the paradigm shift in databases are new measures of success that help define and delineate goals for database platforms in the enterprise.

This report shows you how.

Examine how data silos lead to a more complex environment incapable of serving all your organization's needs
Understand key drivers behind enterprise digital transformation and map those drivers to critical database infrastructure attributes
Make informed decisions about your next-generation database platform choice
Align your database infrastructure with your enterprise digital transformation and acceleration
Become a change agent and thought leader in business transformation