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SBIC Report: Translating Security Leadership Into Board Value
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Introducing Notebooks: A power tool for data scientists
Fast, flexible and collaborative data exploration and analysis
Data exploration and analysis is a repetitive, iterative process, but in order to meet business demands, data scientists do not always have the luxury of long development cycles. What if data scientists could answer bigger and tougher questions faster? What if they could more easily and rapidly experiment, test hypotheses and work more collaboratively on interactive analytics?
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Continuous delivery helps teams reduce risk and increase efficiency and reliability of their software release process. But because of the specific challenges presented by the database, it isn’t always included in that process.
This book aims to show how it is possible to adapt many of the techniques used successfully in application development and make them applicable to the specific requirements of databases. By making the way we develop, test, deploy, and maintain databases more visible, predictable, and measurable, and working together more effectively as a team, organizations can start to reap the benefits of faster delivery, reduced costs, and increased quality.
Find out more about including the database in your continuous delivery process with this 110 page e-book.
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Industry analyst Claudia Imhoff has identified three critical skill sets that will help CIOs build a formidable data science infrastructure.
Ready to create a playground where your data science teams can explore, innovate and flourish? Download the analyst report “Data Science: Providing Knowledge and Insights to Your Organization” and learn how.
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Moving to a modern data warehouse platform can help business growth and expansion.
This e-book will explore the four key facts you need to consider when evaluating your data warehouse options. IBM PureData® System for Analytics N3001- the next generation of the IBM PureData System for Analytics family of appliances- is designed with these facts in mind.
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Customers’ embrace of the web and smart phones creates massive new data sets, many of them unstructured or semi-structured. These include opinions, preferences, chat and email transcripts, and web clickstreams. The hardware and software technologies underpinning first generation warehouses were not designed to manage data at today’s volume or variety. While coercing older technologies to satisfy new demands may be possible, the results are inefficient and burdened with unplanned, unnecessary costs.
PureData System for Analytics has been designed, integrated and optimized to deliver data services to today's demanding applications with simplicity, speed and lower cost.
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Enterprise data warehouses remain as relevant as ever in today’s business environment. However, the traditional data warehouse is not up to the task with a flood of new data pouring in at an increasingly rapid pace. To maintain their competitive advantage, organizations must take action now to modernize the traditional data warehouse.
The key to modernizing is flexibility, as business requirements are changing at a faster pace than technologies. Historically, building a data warehouse has been a painstaking endeavor. Not anymore. Register to read on.
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