A Database is a collection of records stored in a computer in a systematic way, so that a computer program can consult it to answer questions. For better retrieval and sorting, each record is usually organized as a set of data elements (facts). The items retrieved in answer to queries become information that can be used to make decisions. The computer program used to manage and query a database is known as a database management system (DBMS).
If you’re responsible for delivery of a .NET application and your users have analytics requirements, you have some decisions to make. Watch Gigaom Research and our sponsor Izenda for “User Driven BI in the Cloud and Within Your Application,” a free recorded analyst webinar.
Big data requires ever more powerful means to process and analyze growing stores of data, being collected at more rapid rates, and with increasing diversity in the types of data being sought—both structured and unstructured. In-memory computing’s rapid rise in the marketplace has the big data community on alert.
Most data masking products can create masked data copies but not distribute or update them, resulting in projects that fail to live up to expectations. Learn why Delphix’s Agile Masking solution is the only product that solves both masked data creation and delivery challenges.
This white paper examines key approaches to application modernization and evolution for certain IBM mainframe applications with long life spans. It discusses the challenges of legacy applications and the available modernization approaches to handle these challenges. The paper also analyzes in some depth specific approaches that keep application logic largely intact or allow it to evolve incrementally and productively.
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
DB2 BLU By Other Databases And More Wayne Kernochan, Infostructure Associates September 2013 Analyst Wayne Kernochan of Infostructure Associates documents the analytics speed-up capability of DB2 with BLU Acceleration and explains how DB2 BLU compares with competitors. His conclusion after reviewing test results? ""Not surprisingly, the results verified a consistent, roughly order-of-magnitude speedup using BLU Acceleration, against DB2 pre-BLU and against some obvious competitors ..."". What is his advice to readers about DB2 BLU? ""... if your upcoming database needs are analytics/BI/reporting-related, why would you not use BLU Acceleration for them? In other words, what are you waiting for?
Big Data is not a new problem. Companies have always stored large amounts of data—structured like databases, unstructured like documents—in multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. It’s the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
If you specialize in relational database management technology, you’ve probably heard a lot about “big data” and the open source Apache Hadoop project. Perhaps you’ve also heard about IBM’s new Big SQL technology, which enables IBM® InfoSphere® BigInsights™ users to query Hadoop data using industry-standard SQL. Curious? This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
Discover what you need to know to successfully manage your diverse database infrastructures in this new white paper. Topics include:
• Balancing key business metrics
• Understanding a DBAs challenges
• Finding the right tools to monitor and manage the database environment
• ...and much more!
In an ever-changing world, DBAs are managing more complex, business-critical systems. With demands of high performance and around-the-clock uptime, how can they keep providing maximum service levels? Advanced performance management is the answer. Learn more – read this Dell Software white paper.
When application performance issues occur, it seems DBAs get blamed – even if databases aren’t the cause.
In this new white paper, see how to maintain peak database performance at all times – and how to prove, beyond a doubt, your databases aren’t causing the headaches! Read this paper today.
Go beyond one-dimensional virtual machine performance. Foglight for Virtualization helps you visualize, analyze and optimize your entire virtual infrastructure health. In this technical brief, learn how Foglight simplifies cross-platform database performance monitoring and management. Read it today.
In "Proactive Performance Management for Enterprise Databases," read about the inherent challenges of proactive database management, and what to look for when choosing the right management tool for your company. Get this white paper today.
Forrester benchmark data on current state of application availability and performance within the enterprise. In conducting a survey of 159 IT professionals with direct responsibility for business-critical applications, Forrester found that all enterprises surveyed had fundamental issues while managing the performance of these applications and business services. Read the report to learn the key findings of this study.
Avaya Aura Communication Manager is a vital component of an industry best-in-class redundant server solution that can support the available uptime today’s businesses demand. Do you demand more in your server solution?
Faced with trends like cloud and the rapid rise of mobile devices, IT needs a new, simpler model of building networks to support and optimize applications. In this Lippis Report, learn how the Cisco ISR Application Experience Router helps you improve application speed, security, and control.
Does your WAN provide sufficient performance and reliability for your remote-site users? In this guide, discover how to design a full-service network with secure, encrypted communications using Cisco Dynamic Multipoint VPN technology.
Download Design Guide
Analyst Wayne Kernochan of Infostructure Associates documents the analytics speed-up capability of DB2 with BLU Acceleration and explains how DB2 BLU compares with competitors. His conclusion after reviewing test results? Not surprisingly, the results verified a consistent, roughly order-of-magnitude speedup using BLU Acceleration, against DB2 pre-BLU and against some obvious competitors. What is his advice to readers about DB2 BLU? If your upcoming database needs analytics/BI/reporting-related, why would you not use BLU Acceleration for them? In other words, what are you waiting for?
In an ever-changing world, DBAs are managing more complex, business-critical systems. The problem is the business isn’t slowing down, and budgets are getting smaller. Advanced performance management is the answer. Learn more – read this Dell Software white paper.