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Posts Tagged ‘Database’


Reduce Transactional System Complexities to Fund Your Next Innovation

Businesses today cannot operate without data—not even for a moment.

  • Businesses once had the upper hand, but today consumers have gained tremendous power. Increased choices, lower switching costs and easier access to product information have empowered customers to make more informed decisions and compare alternatives more easily. It has become extremely important for organizations to understand and anticipate customer behavior and needs using all available sources of information, including social media.
  • The situation is further complicated as organizations are expected to do more with less. Organizations need to optimize their processes and IT resources to create new opportunities, to mitigate risk, and to increase efficiency.
  • Every day, incredible amounts of diverse data are being generated, ranging from online clicks, transactions and machine-generated sensor data to social media posts, emails and videos. Businesses understand that collecting, processing and embedding this constantly growing stream of both structured and unstructured data into daily operations is key to meeting emerging challenges and uncovering new opportunities. In short, analyzing big data brings success. This is the new reality. Embracing analytics is now a requirement for successful organizational performance.

What is needed for IT organizations to meet today’s top challenges?

  • Handle more data, faster
  • Simplify set up, use and maintenance
  • Support existing systems
  • Use existing skills and don’t require application code changes

In short, make it super fast, super easy…   …and have it deliver super savings.

PureData System for Transactions is a highly available, large scale database appliance that helps you reduce time, effort, cost and risk to design, procure, integrate, and deploy highly available transactional database services.

Database Appliance:

  • Reduce time, work effort, cost and risk to design, procure, integrate, and deploy non-stop data services
  • Fast deployment of high availability clusters and databases

High Availability / Scalability:

  • Improve uptime and reduce downtime costs
  • Simplified disaster recovery
  • Scale out to handle growing data

Infrastructure Efficiency:

  • Consolidate many databases onto a single system
  • Reduce data center costs: space, power, cooling
  • Reduce storage costs

IT Administrator Productivity:

  • Application transparency; no application changes
  • Simplified self-management lowers IT staff time
  • Leverage existing skills

Find out more about PureData System for Transaction. Attend one of our seminars on: “Reduce Transactional System Complexities to Fund Your Next Innovation.” Click here to see the dates, locations and agenda.

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Find out more: http://www.ibm.com/software/data/infosphere/warehouse/
Virtual Conference: https://events.unisfair.com/index.jsp?seid=33250&eid=556 

IBM InfoSphere Warehouse is a complete real-time data warehousing platform that delivers superior scalability and availability, design, build, and management tooling, and business analytics. It provides a complete, multipurpose environment that allows organizations to access, analyze and act on operational and historical information, whether structured or unstructured.

With InfoSphere Warehouse, organizations can gain the insight and agility they need to generate new opportunities, contain costs and satisfy customers. Unlike traditional data warehouse and BI solutions, which may be complex and inflexible, InfoSphere Warehouse simplifies the processes of selecting, deploying and maintaining an information management infrastructure while offering the flexibility for dynamically integrating and transforming data into actionable business insights. It enables organizations to centrally, accurately and securely analyze and deliver information as part of their operational and strategic business applications.

New and enhanced features of version 10:

One of the driving motivations behind this new version 10 is the desire to accelerate time-to-insight so that decision makers throughout an organization can make faster (and better) business decisions. Accelerating time-to-insight focuses on two key areas: 1) the latency of data ingest, and 2) the analytics latency – time to perform analytics and provide insights to decision makers.

Business value is realized when a decision is made or action taken.

Reducing Latency improves business value by being able to make decisions faster.

Continuous ingest

In more traditional warehouse environments, additional data is loaded once a day, once a week or perhaps even once a month. InfoSphere Warehouse continuously ingests data from multiple sources throughout the organization while optimizing resource utilization across all the data sources.

Continuous ingest of data optimizes loading of data – not once per day, not once per hour, but continuously. This ensures that the most up-to-date data is used all the time – no more waiting for a nightly ETL process and scheduled reports to be run the next morning. This is a significant feature for companies where being first is critical – ha, I can’t think of any company that wouldn’t want to analyze fresh data and take action before their competitors!

Multi-temperature data management

As warehouses grow in size, storage costs escalate. At the same time, service-level agreements (SLAs) for warehouse access are becoming tighter for certain mission-critical warehouse information. Multi-temperature data management enables warehouse data to be spread across multiple tiers of storage, defined by performance or cost. The optimizer and workload management features use information about data priority to enhance query performance for hot data while reducing resources for lower-priority queries that access archival or cold data.

Faster performance delivers insights faster. Pretty simple concept. Multi-storage data management puts high priority, frequently accessed data in the fastest (hot) storage available to the warehouse, and of course, less frequently accessed data in warm and cold storage. This accomplishes two things – 1) for end users, queries run faster, and 2) for IT, it optimizes performance, storage and costs.

Storage savings and enhanced performance through adaptive compression

Adaptive compression improves on the leading compression technology found in prior versions of InfoSphere Warehouse by adaptively determining the optimal compression between row- and page-based compression. Using InfoSphere Warehouse 10.1, organizations can improve the compression ratio by nearly 30 percent compared with prior versions. By combining InfoSphere Warehouse and the terabyte charge metric (in which organizations pay for only the post-compression data volume), organizations now can store more raw warehouse data with less storage while enjoying improved performance to query that data. Adaptive compression eliminates the need to completely rebuild compression dictionaries as data grows and reduces the requirement to periodically perform table reorganizations.

Time travel queries through Temporal Table support

The relevance of data within a warehouse often degrades significantly over time. For example, knowing the specific updates to a customer’s record throughout the day may provide valuable insight into a customer’s activity patterns. Two days later, however, it may no longer be necessary to store same-day activities data within the warehouse. Temporal Table support enables organizations to enhance table definitions to define the relevance of transitional changes within the rows stored in the table. After changes reach a predefined threshold, historical (temporal) changes are removed from the table. Organizations can use temporal analytics to gain new insights into the patterns and transitory activities of their business—insights that were previously too expensive to manage or store within the warehouse.

Improved efficiency and performance for BI queries

To improve the speed of BI queries, InfoSphere Warehouse provides industry-leading efficiency in collating multiple data formats, including unstructured data. The result is a 3x or better performance improvement for standard, star-schema types of complex BI queries. Intelligent analytic query optimization helps reduce I/O to minimize resource requirements for heavy workloads.

Advanced security through row and column access control

Advanced access control allows organizations to restrict data access to certain users or groups. Administrators can decide to present only the data that users are allowed to see, or they can mask certain data, such as all but the last four digits of credit card numbers. Quick setup and standardization of security features simplifies security, enabling organizations to control, monitor and help ensure enforcement of security by the database. These security policies help reduce complexity for organizations trying to manage these policies and procedures within applications and business groups. Fine-grain access control capabilities also enable organizations to host multitenant warehouses while limiting access to a single tenant’s information, thereby leveraging resources across multiple warehouse clients.

Real-time operational warehousing

Using the features and enhancements of InfoSphere Warehouse 10, organizations can realize the benefits of real-time data warehousing and deliver greater business value through faster access to time-critical data. Historical trend analysis using temporal tables allows finer insight into business and market trends. By maximizing the utilization and prioritization of resources, organizations can achieve those benefits at a lower total cost of ownership.

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