Real-time In-memory Technologies Do Not Make Data Warehousing Obsolete

The benefits of well thought-out architecture for designing and implementing large-scale DW environments are well-documented. Perhaps the best known of the DW architectures is the Corporate Information Factory. Since the creation of this architecture, there have been many technological advances, making its implementation faster, more scalable, and better performing. The data warehouse is no longer “off limits” to the business community; self-service BI, more sophisticated types of analytics, and true experimental (data science) analyses can now be performed with ease, and an increase in productivity and agility and flexibility of overall BI deployments is the result. Learn more in this white paper authored by one of the co-developers of the corporate information factory DW architecture.

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Enabling Real-Time Big Data Movement in the Constantly Connected World

Many forces in today's world of big data are driving applications to become more real-time. Data needs to go many places, be sorted and stored in different formats, and used in a wide variety of ways. Capturing high volume data streams inside and outside datacenters can be complicated and expensive using traditional software messaging middleware on general purpose servers. In order to realize the full value of “big data” some organizations are switching to real-time message-oriented middleware appliances... Read More

Delivering Information Faster: In-Memory Technology Reboots the Big Data Analytics World

  • Source: SAP
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In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing. See how it works and how to revolutionize the way you run your business.  Read More

Analytics: The Real-World Use of Big Data

  • Source: IBM
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Big data inspires new ways to transform processes, organizations, entire industries—and even society itself. Yet extensive media coverage and diverse opinions make it easy to perceive that big data is only for “big” organizations. So what is really happening? Our newest research finds that midsize organizations are just as likely to be using big data technologies to tap into existing data sources and get closer to their customers as any other company. Find out how. Read More

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Best Practices for a Data Warehouse on Oracle Database 11g

Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW performs and scales well, you need to get three things right: the hardware configuration, the data model, and the data loading process. Learn how designing these three things correctly can help you scale your EDW without constantly tuning or tweaking the system. Read More

Business Process Overview: Warehousing Solutions

  • Source: IBS
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Warehousing processes are critical for the success of a distribution business. These processes are highly visible to your customers, and have a direct impact on their opinion of your company. If you cannot get the goods to your customers in the most efficient way, you risk losing their business. Your warehousing and logistics operations must translate into reliability and service. Read More

Blending Transactions and Analytics in a Single In-Memory Platform: Key to the Real-Time Enterprise

  • Source: SAP
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This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. Rather than using separate transactional and analytical applications built on separate platforms, a single data management environment for both systems of record and systems of decision would yield numerous benefits. These include real-time data analysis and accelerated decision making, and the potential to transform and innovate... Read More
 
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