Seamless Access to All Data
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In
other news, IBM is announcing new database
software to brings simplicity to analyzing past, present and future trends and
data. Developed out of IBM's Silicon Valley
Lab, IBM is introducing new DB2 database software
for System z, that simplifies analyzing past, present and future data for
faster, more accurate decision-making. Typically, a timely and costly process
for database administrators to correlate, access and integrate information from
a variety of sources, DB2 10 enables seamless access to all data for
faster analytics. Because of the explosive growth of data it is more critical
now than ever before that businesses have high performance cost effective data
management systems. New DB2 10 database software delivers up to 40
percent performance improvements while also providing 10 times more scalability
to manage future growth. This translates into more efficient use of
systems resources and cost savings to System z clients.
The
automotive world's BMW Group is using DB2 for z/OS. DB2 for
z/OS plays a key role in managing BMW's global supply chain from manufacturing
to managing third-party suppliers and producing custom-ordered parts, the
company said. BMW has been evaluating DB2 10 and is already seeing significant
performance improvements of many of these critical production workloads, IBM
said in a press release. According to BMW, they have measured an almost 40
percent reduction in processing power required for insert-intensive workloads
for their data, which translates directly to lower costs for their IT
department. Also, the reduction in time to process critical supply chain
data helps BMW deliver its parts even more efficiently to its customers.
IBM
also has introduced a new version of its InfoSphere Information
Server, which acts as the data backbone for organizations, integrating all
relevant data resources and governing the quality and completeness of
information. For instance, new pop-up menus integrate data quality and lineage
information directly into business applications so users can monitor the
quality of their data before they use it, IBM
said. In addition, new quality capabilities improve how data is standardized
and combined, making it easier to integrate diverse sources of information into
a single view. For example, a business with operations in multiple countries
can now easily integrate customer data across systems in multiple languages and
ensure it adheres to consistent name and address standards.
And
IBM is showcasing a technology preview of
its InfoSphere
BigInsights portfolio running on IBM's
commercial Development & Test Cloud and launching the beta program for the
same software in on-premise deployments. Invented by IBM
researchers and software developers and powered by Apache Hadoop, an open-source technology
designed for analysis of big volumes of data, IBM's
Big Insights portfolio helps organizations analyze and visualize petabyte-size
quantities of structured and unstructured data.
The
preview highlights the benefits of a test cloud development model including
simplicity of set up, straight forward cost structure and lack of
infrastructure changes. Having this software on the IBM
Cloud environment makes it simple for an organization to get started with Big
Data analytics and determine how they can best use big data before bringing the
actual deployment in house for operations on sensitive data. By simply adding
their test data to the cloud they can get started with Big Data analytics and
show the long term benefits of enterprise Hadoop deployments.
IBM
continues to expand its multibillion dollar investment in the business
analytics and optimization market. Over the past five years, IBM
has invested more than $14 billion in 24 analytic-related acquisitions. Today,
more than 7,000 IBM industry consultants are
dedicated to analytics.
