Gain Complete Insight Into Customers, Operations and Risks The digital nexus in banking: Regulators and customers can be demanding, but technology can help keep them happy Data is reshaping the world of financial technology. With increasing mandates and the rising volume of customer data, a unified platform is the answer. Read the eBook and discover how Hitachi helps to ensure […]

Based on survey methodology, this second Big Data Analytics Market Study from Dresner Advisory focuses upon the combination of analytical solutions within the Hadoop ecosystem, adding some new criteria and exploring changing market dynamics and user perceptions and plans. You’ll also learn why Pentaho ranked among the top three Big Data Analytic vendors in the areas of infrastructure, data access, […]

Want to get the data you need faster? If you’re trying to automate and scale your data preparation processes, this TDWI Best Practices Report is a must-read. The TDWI report also examines how self-service data preparation will affect your operations, including how self-service data prep fits with visual analytics, data discovery, BI tools, and Hadoop. Read the TDWI best practices […]

Are you tasked with transforming your data into true business value? Don’t miss our new data management guide: 8 Essential Checklists for Managing the Analytic Data Pipeline. Each step is a critical to ensuring your data is analytics-ready when business users need it. Use the guide to evaluate your vendor options and flag potential pitfalls as you plan your pipeline. […]

Designing a data lake that meets both business and technology goals is critical, but not easy. From the great size and diversity of data within a data lake, to the need to support a wide range of interfaces, platforms, data structures, and processing methods, too often data lakes turn into a messy data swamp, and fail to deliver promised analytic […]

This whitepaper covers six guidelines product leaders should explore during their embedded analytics evaluation: 1) Data Access, Integration, and Management, 2) End User Analytics Functionality, 3) Embedding Analytics into the Application User Interface, 4) Deployment and Security, 5) Extensibility, Customization, and Transparency, and 6) Services, Support, and Vendor Experience. Content covers: • Key requirements and why they matter for each […]

IoT project implementers cite integration as a top technical challenge. To help determine which IoT integration offerings best match their IT project requirements, IT leaders must understand that IoT integration requirements differ and that integration capabilities of IoT solutions vary widely.

Need some inspiration on Hadoop? Pentaho’s step-by-step interactive infographic shows how you can handle common Hadoop challenges at every stage of the analytic data pipeline. Check out the infographic and learn how to: • Develop a flexible and scalable approach to data ingestion and onboarding processes • Scale your data processing and blending efforts, while retaining fine-grained control • Deliver […]