A Reference Architecture for Next Generation Big Data and Analytics
While Hadoop is great for processing and storing massive amounts of data, its architecture is woefully inadequate for interactive business data analysis and insufficient for business user adoption. Hadoop’s challenges when serving large numbers of users at business speed and its lack of a business user interface necessitate a new kind of data architecture.
Forward thinking companies that are adopting Hadoop in their next generation architecture need to adopt a Business Intelligence architecture that separates data storage and processing workloads from end-user analytical workloads. This architecture must create a user-oriented analytical data tier on top of Hadoop to aggregate and analytically refine data for browsing, exploration, and delivery throughout an organization.
A BI and analytics platform with a next generation data architecture, such as Birst’s, is required to fully leverage the power of Big Data. With the right BI tools, users can experience both sophisticated, interactive analytics as well as directly connect to Hadoop to access data at its deepest level of detail.
Together with its Network BI and Adaptive User Experience, Birst’s User Data Tier offers a fast, responsive, and high-concurrency analytic environment, empowering business groups to interact with Hadoop with rapid speed and in business terms.
In this whitepaper you will learn:
- The current state of Hadoop and its limitations in the enterprise data analytics landscape
- The architectural challenges of using Hadoop for data analytics and what is needed to overcome them
- How Birst has designed a next generation data architecture that utilizes Hadoop’s strengths to the fullest
- Where existing data warehouses fit within Birst’s next generation data architecture
Click here to learn more about Birst’s Big Data solution for your industry.