Resource Library

Organizations are moving strongly toward Bring Your Own Device (BYOD) access, bringing outsourced activities back in-house, and finding ways to make use of the growing amounts of data flowing in from many new sources such as social media. These factors create an increasing shift in required and desired skills showing up in IT departments. Hiring and salary surveys, such as the 2014 IT Skills and Salary Survey from Global Knowledge and Windows IP Pro, TEKsystems' 2014 Annual IT Forecast, Foote Research Group's 2014 IT Skills and Certifications Pay Index, Computerworld's annual Forecast survey, Robert Half Technology Survey, and information from the US Bureau of Labor Statistics, Futurestep, Mondo, GovLoop, and Dice have presented a developing picture of the IT skills that will be in demand in 2014. Here, in survey order, are the top 10 major skills and why they made the list.

Cloud forensics involves exploring issues a company and its forensic examiner may face when suffering a breach of company information in the cloud. If they need to collect information from the cloud to determine what happened, to determine what was lost or compromised, for remediation, for civil litigation, or for some other action, what issues will they face? And, how can they collect the data? Although this white paper discusses many legal issues, this is not a legal "how-to" article. The purpose is to provide some insight into cloud forensics.

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.

In this seminar, discover how OpenStack can simplify your cloud infrastructure management. Experts from Red Hat, the leading contributor to the OpenStack project, will fill you in on how organizations have solved problems and increased business value with open-source cloud technology. They will also give you a peek into the future of Red Hat OpenStack and reveal how Red Hat training and certification can ensure the success of your cloud deployment.

This webinar focuses on assisting leaders who are determining whether Agile is right for their organization. In one hour, we will take you from the basic concepts of Agile methodology to understanding the process and what your role is as a leader. You will learn the challenges and benefits and how an Agile culture can fuel your teams and provide value for your customers faster.

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).

AWS has introduced Auto Scaling so that you can take advantage of cloud computing without having to incur the costs of adding more personnel or building your own software. You can use Auto Scaling to scale for high availability, to meet increasing system demand, or to control costs by eliminating unneeded capacity. You can also use Auto Scaling to quickly deploy software for massive systems, using testable, scriptable processes to minimize risk and cost of deployment.

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.

In this hour-long webinar, Global Knowledge course director Brian Egler will examine key new features of Microsoft SQL Server 2016 that demonstrate how it provides automatic end-to-end security, seamless generation of business analytics and elastic integration of data in the cloud.

A longtime leader in data analytics, Google continues to earn their position by continually improving their data analytics offerings. Now, with Google Cloud Platform (GCP), you can capture, process, store, and analyze your data in one place, allowing you to change your focus from infrastructure to analytics that informs business decisions. However, you can also use GCP Big Data tools in combination with other cloud-native and open-source solutions to meet your needs. Below is an overview of GCP Big Data Tools and how you might utilize them to improve analytics.