WHITE PAPER:
This resource introduces Hadoop strategies that can address the requirements of big data – allowing your organization to optimize performance for deep data mining and analytical power.
CASE STUDY:
Kennaw State University needed faster, easier data access, analysis and reporting. See how they transformed HR processes to eliminate errors, saved hundreds of hours annually on HRMS, benefits and payroll services, and how they leveraged self-service business intelligence to non-technical users.
EBOOK:
Data science, predictive analytics and machine learning applications start with data collection and data mining tasks that set the stage for analysis. Learn how to manage your data mining tasks and data science applications to help ensure that your big data analytics program is in the corporate spotlight for all the right reasons.
WHITE PAPER:
Access the following white paper to uncover a discovery and analytics platform that can give you more insight from your big data than what can be found with multiple systems. Get a firsthand look at how an all-inclusive discovery system can deliver faster and more powerful insights, ultimately improving your functions and profitability.
sponsored by EMC IT Solutions India Private Limited
WHITE PAPER:
This white paper details how a new solution can be used to support a Hadoop data analytics workflow. It describes the core components involved as well as highlights the benefits that can be leveraged to gain reliable business insight quickly and efficiently while maintaining simplicity to meet the storage requirements of an evolving workflow.
EGUIDE:
Applying technology like machine learning to transaction data could significantly increase the proportion of money laundering activity that is detected. It is projects like this that are driving demand for data science skills. In this e-guide, read about the power of data against money laundering, and how to get the skills to turn data into gold.
WHITE PAPER:
Access the following e-book to uncover the tools and strategies you need to get the most out of big data. Learn from leading authors in the field of data management as they explain some of the common mistakes made by analytics professionals while mining for new insights and what you can do to avoid them.
EBOOK:
This expert e-book chapter will provide IT, BI and analytics managers with information on the current state of big data adoption and advice on how to prepare for and launch projects. Inside, you'll discover key issues to consider in the big data technology evaluation and selection process.
