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Use Analytics to Innovate and Lead in Today's Banking Environment

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Navigating The Twists and Turns of The Hadoop Landscape

By: TechTarget Business Analytics

Type: eGuide

The landscape of IT is always changing, and with recent pursuits pinning analytics and big data. Hadoop-based products are transforming, so many IT businesses are wondering what that means for future expansions to Hadoop use cases.

Consult this expert e-guide to look into the recent changes and their impact on IT. It explores a snapshot of market transitions and what that means for your business.

These are also closely related to: "Use Analytics to Innovate and Lead in Today's Banking Environment"

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    FAQ: Hadoop for BI and Analytics

    By: TechTarget Business Analytics

    Type: eGuide

    Traditional data warehouses are proving to be ill-suited for tackling big data on their own. As a result, organizations are turning to new technologies like Hadoop to effectively manage today’s data environment.

    Unfortunately, Hadoop is surrounded by many misconceptions and most data management professionals have little to no experience with the big data platform.

    This expert E-Guide aims to dispel common Hadoop myths and offers key advice for leveraging this technology in order to drive big data analytics success. Read on to learn more.

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    Which SSD type deserves your data?

    By: Micron Technology

    Type: eGuide

    Flash storage has built up quite the reputation for being fast. And when it comes to data analytics, SSDs don’t disappoint because solid-state technology can perform analytics on big data more efficiently. However, there’s a bit of a catch.

    In this guide, storage expert – Phil Goodwin – discusses how flash storage technology is only advantageous in certain types of environments. Discover which kind of SSD deployment is best designed for your environment’s big data needs.

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  • Reaping the Benefits of Big Data and Real-time Analytics

    By: TechTarget Business Analytics

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    In this expert e-guide, explore strategies for embracing the big data challenge and discover how real-time analytics can help you improve business performance and leverage your high-volume data to get an edge on competitors.

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  • Hadoop Data Management and Use Cases

    By: TechTarget Business Analytics

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    In this expert e-guide, hear from pros in the analytics space, including Wayne Eckerson, explore how organizations are beginning to integrate Hadoop deeper into operational workflows, expanding the possible use cases.

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    Armed with data processing, streaming and machine learning capabilities, the multitalented Apache Spark architecture is becoming a force in its own right.

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    "Big data" has become one of the most talked about trends within the business intelligence (BI), analytics and data management markets. With vendors marketing a wide variety of technology offerings aimed at addressing the challenges of big data analytics projects, it can be hard to discover the best solution.

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    For high-end, challenging applications integrating business intelligence (BI) data with other information such as Internet clickstream and social networking data, the trend is shifting toward build in the buy vs. build data warehousing debate. Access this expert resource today to learn the drivers that are creating this new trend.

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  • Hadoop Data Management Platforms and Appliances

    By: TechTarget Business Analytics

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    This expert Technology Guide provides an introduction to Hadoop and suggests criteria for selecting a Hadoop data management platform. Also included are reviews of leading Hadoop systems from a variety of vendors.

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    By: Veritas

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    In this expert e-guide, we explore how to create an enterprise data governance framework. Uncover some strategic best practices for big data governance so that you can boost data quality and prevent critical inconsistencies.

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    This expert e-guide examines the key challenges and potential pitfalls of big data and offers real-world strategies and advice for achieving big data success.

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    This expert e-guide from SearchBusinessAnalytics.com explores the need for data-driven decision-making skills in the age of big data, and reveals Gartner's basic business rules for driving big data success. Read on to learn more.

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    By: TechTarget Business Analytics

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    Access this exclusive guide to analyze the evolution of the big data concept. Examine how many analysts are coming to believe that the 3-V definition falls short. Continue on to delve further into the big data discussion and discover how Gartner, who originally introduced the 3-V concept, has begun to build on this rudimentary interpretation.

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    By: IBM

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    The amount of data stored globally is expected to grow to 8.9 zettabytes by 2024. This infographic details how you can turn your data into a valuable business asset with artificial intelligence (AI) and analytics. See the full infographic here.

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    By: SAS

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  • Perception matters: The role data engineering plays in your analytics

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    A survey of 375 asset management firms shows data management challenges that organizations are struggling with, including:54% of firms are challenged by errors in data, largely due to the number of disparate data sources66% of respondents require 6 to 9 people to process data to meet the needs of business stakeholdersRead the full report here.

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  • Best practices for enabling industrial DataOps

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    Industrial DataOps is the dominant framework for mastering 4.0 data transformation projects, and it is key for leveraging solutions that can deliver data to users for a real-time view of the enterprise. Read on to learn about a solution that can help manage data in a common format that is ready to consume, contextualize, and scale for the customer.

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    By: HighByte

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    Most manufacturing companies know how leveraging industrial data can improve production, but they remain challenged as to how to scale-up to the enterprise level. Read how these four use cases reveal the ways Industrial DataOps can integrate your role-based operational systems with your business IT systems as well as those of outside vendors.

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