SlamData Documentation Release 2.5

July 12, 2016

Notebooks capture data workflows in a visual fashion that allows you to query data, transform and visualize it in the form of charts and reports.

Spotlight

Virtual Gold Inc

Virtual Gold, Inc. is a leading Next Generation business intelligence and data mining software company. It was founded in 1997 by former IBM scientist Dr. Inderpal Bhandari, one of the world's leading authorities on data mining and its timely application to real world problems. Dr. Bhandari and his team, whose roots are with IBM's T. J. Watson Research Center, have shaped the functionality of their products to be used by non-technical executives and business managers. Virtual Gold developed its unique, powerful patent-pending software technology that alerts business managers to actionable patterns at decision time. This enables business managers to make better decisions by alerting them to hidden patterns in data that are discovered automatically and prioritized by business impact. While other data mining platforms can find patterns that have statistical merit, Virtual Gold goes much further by discovering patterns that can actually impact the business. Through its web-based technology

OTHER WHITEPAPERS
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Top 5 Trends in Data & BI Governance

whitePaper | August 19, 2022

Metric Insights recently partnered with Donna Burbank on a webinar on trends for Data & BI governance in 2022. Burbank is the managing director at Global Data Strategy, Ltd., an international information management consulting company that specializes in the alignment of business drivers with data-centric technology.

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Dell PowerMax 2500 and 8500 Best Practices for Mission Critical SQL Server Databases

whitePaper | August 25, 2022

The new PowerMax 2500 and 8500 storage systems with PowerMaxOS 10 feature some of the most advanced performance, data protection, data reduction, and data mobility servicing enterprise workloads and applications. The new PowerMax systems come with large DRAM for user data and persistent memory for metadata, end-to-end NVMe, 100 Gbit RDMA fabric, real-time machine learning, 64-bit native file services, seamless cloud mobility, and ability to deliver millions of IOPS at submillisecond latency.

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Introducing Apache Druid

whitePaper | January 31, 2020

Many companies have invested heavily in specialized enterprise data warehouses (EDW) and Extract, Transform and Load (ETL) technologies to analyze their operational data. But these technologies were never designed to be truly real-time.They were originally built for batch, and that original design limits how real-timeEDWs and ETL can become. They were also designed to support a focused group ofanalysts, not a larger group of employees spanning operational functions, or even partner and end customers.

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Best practices – using Incorta to modernize your Oracle BI environment

whitePaper | March 29, 2023

Migrating to a new analytics environment can be a complex, timeconsuming and resource-intensive undertaking. Significant investments have been sunk into existing analytic environments, and migrating to a new platform can involve months of effort. When organizations go to this level of effort and expense, ideally, they should achieve more than simply migrating the existing environment. A migration provides an excellent opportunity to look to the future, rethink the environment, and deliver new capabilities to the business that can improve efficiency and serve as a source of competitive advantage.

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CDAIT Digital Transformation

whitePaper | November 26, 2019

There has been much said about the Internet of Things (IoT) and what it can bring to business and society - creating a more deeply connected world, informed by data sourced from connected things, made better by smarter, more meaningful actions and interactions. These views often focus on how IoT technical solutions can deliver this new future, emphasizing the technology DNA of IoT devices, networks and applications. We have found, however, both through research and experience, that while technology is, in fact, the core of IoT’s DNA; it is just a piece of the puzzle needed to deliver on IoT’s promise. With 60% of IoT projects still struggling to move out of proof-of-concept and scale successfully2 there is more to IoT success than technology alone. What is needed and how can business leaders plan better for IoT success?

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Unlocking the Business Value of the Data Lake

whitePaper | November 18, 2022

Data lakes have enormous potential as a source of business intelligence when included as part of an advanced open data architecture. Organizations use data lakes to efficiently store and process a combination of structured, semi-structured and unstructured data at scale, powering multiple business intelligence and data science initiatives to support a variety of business units across an organization.

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Spotlight

Virtual Gold Inc

Virtual Gold, Inc. is a leading Next Generation business intelligence and data mining software company. It was founded in 1997 by former IBM scientist Dr. Inderpal Bhandari, one of the world's leading authorities on data mining and its timely application to real world problems. Dr. Bhandari and his team, whose roots are with IBM's T. J. Watson Research Center, have shaped the functionality of their products to be used by non-technical executives and business managers. Virtual Gold developed its unique, powerful patent-pending software technology that alerts business managers to actionable patterns at decision time. This enables business managers to make better decisions by alerting them to hidden patterns in data that are discovered automatically and prioritized by business impact. While other data mining platforms can find patterns that have statistical merit, Virtual Gold goes much further by discovering patterns that can actually impact the business. Through its web-based technology

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