Resource Library

Managing the change of DataStage components can often become a test of wills. Picture fitting a square peg in a round hole, and you might start to get the idea. The complexity of what is required to promote components from one environment to another during the development, testing, and eventual implementation in the production environments, should be and is often a controlled activity.

Resource management is always an issue in any project, especially when the stakeholders from whom we need time have operational duties to perform.  If our requirements team was at our disposal 100 percent, always completed activities on target, and worked a full eight hour day without distraction or a loss of productivity, then estimating time would be simple. In this paper, we explore standard approaches to time estimation, the dangers of multi-tasking, and estimation alternatives, which consider work habits and productivity norms.

Amazon Redshift opens up enterprise data warehouse (EDW) capabilities to even the smallest of businesses, yet its costs, security, and flexibility also make it appealing to the largest of enterprises. It allows companies to easily and conveniently scale their EDW needs both up and down, and as a managed service, it allows your team to offload all of the "undifferentiated heavy lifting" of building and maintaining an EDW. Its raw storage costs are about one-fifth to one-tenth of traditional in-house EDW, and AWS has taken great care to ensure its performance is still competitive with those in-house solutions. Before deciding to use Amazon Redshift, however, it's important to understand what it is and is not.

With Microsoft SQL Server 2016, you can distribute your data to the cloud using the Stretch Database feature to improve local access while allowing cloud access to large amounts of historical data. You can also provide transparent end-to-end security using Always Encrypted technology and track changes automatically through temporal data. Download this white paper to learn why these features and more make SQL Server 2016 Microsoft's most important release to date.

When designing a structured business analyst interview, it’s crucial to have a goal in mind, a clear set of questions planned, and an understanding of how those questions may deviate from the intended goal. An interview has an intended line of questioning; it may also have alternate lines of questioning and unanticipated paths where the interviewee has raised issues or answered questions in a way the business analyst had not considered or planned. In short, an interview is a social process.

Managing users' access to an organization's resources via portals is convenient with IBM's WebSphere Portal Scripting Interface. Compare tools available to the portal administrator and identify some use cases where IBM's Portal Scripting Interface may be the ideal choice. Review basic commands and find out how to create custom scripts.

Effective requirements collection at the outset of the project is the key step that will ensure that the project manager can deliver what is actually expected. In this respect, the business analyst must become a key ally and advisor to the project manager. Most project managers are not trained business analysts, so taking advantage of the skill set that a business analyst can offer can greatly enhance the possibility of project success.

Discover how the enhanced performance and reliability of Amazon Aurora will help AWS customers reduce performance bottlenecks in their applications. The relatively low cost of Aurora will tempt many customers to migrate workloads to this implementation of RDS.

Database Management Systems (DBMS) have been monolithic structures with their own dedicated hardware, storage arrays, and consoles. Amazon Web Services (AWS) realized that while each company can use unique methods of collecting and using data, the actual processes of building the management infrastructure are almost always the same. AWS remedies DBMS problems with its Amazon Relational Database Service (Amazon RDS).

Learning how to program and develop for the Hadoop platform can lead to lucrative new career opportunities in Big Data. But like the problems it solves, the Hadoop framework can be quite complex and challenging. Join Global Knowledge instructor and Technology Consultant Rich Morrow as he leads you through some of the hurdles and pitfalls students encounter on the Hadoop learning path. Building a strong foundation, leveraging online resources, and focusing on the basics with professional training can help neophytes across the Hadoop finish line.