Databases are used in many applications, spanning virtually the entire range of computer software. Databases are the preferred method of storage for large multiuser applications, where coordination between many users is needed.
Packed with everything you need to know about Hadoop analytics, this handy guide provides you with a solid understanding of the critical big data concepts and trends, and suggests ways for you to revolutionize your business operations through the implementation of cost-effective, high performance Hadoop technology.
Organizations of all sizes need help building clusters and grids to support compute- and data-intensive application workloads. Read how the Hartree Centre is building several high-performance computing clusters to support a variety of research projects.
This TDWI Best Practices report explains the benefits that Hadoop and Hadoop-based products can bring to organizations today, both for big data analytics and as complements to existing BI and data warehousing technologies.
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.
Your business is complex. Big data promises to manage this complexity to make better decisions. But the technology services that run your business are also complex. Many are too complex to manage easily, fueling more complexity, delays, and downtime. Forrester predicts this will inevitably get worse. To combat this onslaught, you can no longer just accelerate current practices or rely on human intelligence. You need machines to analyze conditions to invoke the appropriate actions. These actions themselves can be automated. To perform adaptive, full-service automation, you need IT analytics, a disruption to your
existing monitoring and management strategy.
Many companies still rely on a legacy, platform-specific data backup solution, even though it doesn't provide consistent backup across the enterprise. This outdated approach becomes especially risky when IT faces a data migration initiative. Organizations risk immense data loss and an expensive, intensive disaster recovery undertaking if they launch a data migration effort without first properly securing their data.
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.
IBM Big Data Stampede fuses the strength of IBM’s services, products and skills to minimize the barriers of Big Data initiatives and provide organizations with quick success. Your Big Data Stampede includes an assessment to identify the high value starting points with Big Data. We work with you to unearth trouble areas and complex problems for resolution through leveraging Big Data. Read this data sheet to learn more.
The IBM DB2 pureScale feature is designed to address your current and future business needs for continuous availability. This white paper introduces DB2 pureScale—what it looks like, where it comes from, and how it allows you to scale out your database on a set of servers in an active-active configuration that combines high availability with truly transparent application scaling.
Increasingly demanding IT requirements are necessitating change to the data center network (DCN). Like servers and storage, the network needs to evolve to deliver the flexibility and scalability required by a more virtualized IT environment. In this interview, Michele Girola, IBM network integration services product manager, explains how to enhance your DCN to support evolving technologies today and in the future. Listen to the full 12-minute interview or read the two-page abbreviated version to learn how IBM is working with clients to build a better data center network.
This new edition has a wider scope than the previous one, with 17 participants while retaining a similar maturity model as the previous one in order to help participants measure their progress year -on-year.
The global credit crunch that began in 2007 threw the financial industry into turmoil and highlighted the need for financial firms to improve their risk management practices. Today, the credit crisis is far from over. Markets remain volatile, and financial firms face waves of regulatory requirements intended to safeguard the solvency of individual firms and the stability of economies worldwide. These reforms will dramatically affect firms — burdening the profitability and growth of some, and the very survival of others.
Agile development teams and IT operations teams often become so consumed with their own daily challenges that collaboration between them is severely lacking or non-existent. The problem with this is that manageability requirements become an afterthought to the development process, and agile teams may roll out applications that IT ops can't effectively monitor and run.
While enabling cross-team collaboration is mutually beneficial— and ultimately improves the business' bottom line—, implementing it requires some effort at the organizational level to instill changes, and the right tools will help. Read this white paper to learn guidelines for adapting your application development and management model to enable Dev/Ops information sharing and collaboration, and learn how the cloud can be leveraged for this purpose.
Performance testing and benchmarking of cloud computing platforms is a complex task, compounded by the differences between providers and the use cases of cloud computing users. IaaS services are utilized by a large variety of industries and, performance metrics cannot be understood by simply representing cloud performance with a single value. When selecting a cloud computing provider, IT professionals consider many factors: compatibility, performance, cost, security and more. Performance is a key factor that drives many others including cost. In many cases, 3 primary bottlenecks affect server performance: central processing unit (CPU) performance, disk performance, and internal network performance.