Next Phase of Data Warehouse Management Demands a Response to
"Tera-flation" Through Intelligent Tiering of Data Warehouse
Boston, MA (ots)
- SAND Technology (NASDAQ: SNDT), an innovator in
analytic application infrastructure, today announced its Information
Lifecycle Management (ILM) strategy for Data Warehousing at the DCI
Business Intelligence and Data Warehouse Conference.
Most data warehouses today are doing far more than their design
ever anticipated. Since the relational warehouse model was developed
in the early 1990s, data volumes have soared, creating a
"tera-flation" that needs to be controlled. At the same time, the
changing business and regulatory climate requires that corporate data
be retained for longer periods than ever before. More business users
are demanding broader and more complex analytic access to the data.
Many observers view the growth of data warehouses as out of control,
with organizations struggling to keep up.
According to Gartner analyst Raymond Paquet, "Changes in
regulatory requirements have made building and managing tiered
storage infrastructures a major initiative, particularly within
industries that are subject to frequent lawsuits, such as finance and
healthcare. These regulations are driving storage growth as well as
new, more stringent retrieval time requirements. Thus, technologies
related to information lifecycle management (ILM) and data lifecycle
management (DLM) comprise the second fastest growing segment of the
storage software market."
SAND's ILM approach partitions warehouse data into three tiers --
the Online tier for frequently-used, high-value data that require
high-performance resources, the Nearline tier for lesser-used but
still active data that can be restored to the online server for
analysis, and the Offline tier for historic data that can be accessed
and analyzed outside the traditional warehouse.
"SAND Technology is introducing the Information Lifecycle
Management discipline to Data Warehousing so that IT management can
re-focus on the original mission of the warehouse as a responsive
source of information for the organization," said Arthur Ritchie,
SAND's Chief Executive Officer. "The challenge facing data warehouse
managers today is to continue improving users' ability to access the
data, when and how they need it, while controlling the cost of
managing the growing volume and complexity of that data. SAND's
mission is to reconcile these seemingly opposing goals."
SAND Technology's Information Lifecycle Management approach builds
on the strength of the existing data warehouse, by freeing it from
the need to support too much data and queries that are too complex
for its design. Since typically less than 30% of the data in a
warehouse is in active use, the inactive data can be more efficiently
stored in SAND Searchable Archive, reducing the warehouse footprint
and improving its performance. Complex analytics can be hosted on
SAND Analytic Server where the 'killer queries' will run more
efficiently, sparing the warehouse from the performance penalty
usually associated with them. The result: better levels of service to
all classes of users, and reduced overall warehouse size.
SAND Technology has documented this strategy in a white paper
entitled "Taming the Tera-flation: Information Life Cycle Management
for Data Warehousing," now available at the DCI Business Intelligence
and Data Warehouse Conference, Booth #105 or online at www.sand.com
About SAND Searchable Archive
SAND Searchable Archive is a highly compact analytic repository
that typically stores data in less than 10% of the space required by
an equivalent relational data warehouse. Early production
installations have yielded 80%-90% compression of input data, which
translates to at least 95% compression in comparison to a similar
indexed relational database.
SAND Searchable Archive's read-only archive files can be searched
using standard Business Intelligence tools and methods without
decompressing the data first. In nearline applications, the selected
data can be efficiently restored to the online warehouse or analytic
server. In offline configurations, the selected data is queried in
place without the need to restore it.
Users can configure the speed of data selection by adjusting the
available server and storage resources, using less expensive media
when storage cost is the underlying driver, and higher-performance
resources, disc and servers when speed of data access is critical.
Because the data access rate corresponds linearly with CPU usage,
query speeds against the compressed files can approach or even exceed
those achieved against the source warehouse.
SAND Searchable Archive can be deployed on Windows, Linux or UNIX
servers. Product pricing varies based on the amount of data being
stored in the archive.
About SAND Analytic Server
SAND Analytic Server is a high-performance multi-user platform
that facilitates the development and deployment of complex on-line
analytic applications. It is typically a third of the size of an
indexed relational data warehouse or data mart, but offers greater
flexibility and more efficient analytic performance. It does not
require specialized indexing, so it is faster to set up, faster to
accommodate changes in the business environment, and faster to
respond to user requests for data.
SAND Analytic Server works with industry-standard business
intelligence tools and runs on standard hardware, optimizing the
performance of both.
About SAND Technology®
SAND Technology provides organizations worldwide with a unique
vantage point from which to survey the competitive landscape. SAND's
advanced analytic data management products empower users with a
better understanding of their business environment through better
access to their business data.
SAND Technology-based solutions include CRM analytics, financial
analysis, regulatory compliance and specialized Business Intelligence
applications for government and security, healthcare,
telecom-munications, financial services, retail and other business
SAND Technology has offices in the United States, Canada, the
United Kingdom and Central Europe, and is traded on NASDAQ under the
symbol SNDT. For more information, visit www.sand.com
All Rights Reserved. SAND Technology and Nucleus are registered
trademarks, and SAND Analytic Server, SAND Searchable Archive, See
What's on the Horizon, analytics @ the speed of business, and all
related SAND- and Nucleus-based marks and designs, are trademarks of
SAND Technology Inc. Other trademarks are the property of their
Certain statements contained in this press release are
"forward-looking statements" within the meaning of the United States
Private Securities Reform Act of 1995 and are intended to be subject
to the safe harbour protection provided by this Act. Such
forward-looking statements are based on reasonable assumptions and
current expectations, but involve known and unknown risks and
uncertainties. Some assumptions may not materialize and unanticipated
events may occur which could cause actual results to differ
materially from any future results, performance or achievements
expressed or implied by such forward-looking statements. Competitive
pressures, availability and cost competitiveness of competing
products, timing of significant orders, management of potential
growth, risks of new business areas including our new business model,
international expansion, decreased demand for computer software and
services due to weakening economic conditions and market acceptance
of SAND products are important factors which could cause actual
results to differ materially from those projected. More information
about factors that potentially could affect SAND's financial results
is included in SAND's current Annual Report and in SAND's reports to
the Securities and Exchange Commission.
ots Originaltext: Sand Technology
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