Gartner Critical Capability

Growing investments in Mode 2 IT projects and cost reduction efforts in core enterprise workloads are driving the demand for object storage. Here, we compare 12 object storage products against seven critical capabilities in use cases relevant to infrastructure and operations leaders.

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The Need for Hybrid Cloud Object Storage

This executive brief discuses how to manage exponential, largely unstructured, data growth for business advantage. In a new world of data that must be accessible and collaborative, hybrid cloud object storage delivers a flexible, scalable and simple approach to efficiently manage exponential growth.

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IDC Technology Assessment Report – Hitachi Content Platform: End-to-End Portfolio for the 3rd Platform

According to a new IDC Technology Assessment report, Hitachi Content Platform: End-to-End Portfolio for the 3rd Platform, businesses are undergoing a fundamental transformation as they actively adopt and manage the four pillars of the 3rd Platform (social, mobile, cloud, and big data).

This 3rd platform of data is a critical concern of IT organizations that being urgently addressed. The data management explosion presents serious risks to the performance of legacy infrastructure, to the point of access disruption and data loss. That’s why IT organizations are reviewing object-based storage (OBS) solutions to lead a complete mobile storage transition and augment their current systems, including content delivery, sync and share, analytics, and backup.

Author: Amita Potnis, Research Manager, File and Object-based Storage Solutions

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Machine Learning with Spark

Organizations of all kinds need data scientists. Accordingly, as part of its commitment to data science, IBM is making available technology, almost 10 years in incubation, designed to help organizations apply machine learning through Apache Spark. Doing so can bring significant benefits to the analytics industry as companies increasingly make space for machine learning in the enterprise.

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IBM is a Leader in the Forrester Wave™ – Big Data Hadoop Cloud Solutions, Q2 2016

Do you want to do Hadoop in the cloud? Explore the The Forrester Wave™: Big Data Hadoop Cloud Solutions, Q2 2016 report to understand how to evaluate Hadoop cloud solution vendors across 37-criteria.

The report explains the benefits for Hadoop cloud deployments including economizing the analysis of more data using cheaper infrastructure, enabling faster advanced analytics, scaling to unlimited resources in minutes, providing a self-service analytics platform, and simplifying big data deployment. Come away armed with how to evaluate IBM BigInsights on Cloud and other vendors across several dimensions including current offering, strategy and market presence. The Forrester Wave™: Big Data Hadoop Cloud Solutions, Q2 2016 report details how elasticity, automation and pay-as-you-go features are driving enterprise adoption of Hadoop in the cloud.

IBM differentiates BigInsights with end-to-end advanced analytics, and also has among the highest scores in the Cloud Platform Integration, data security, data management, partnerships and solution configuration criteria. Learn more about how to get started with Hadoop in the cloud with IBM.

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Connectivity Benchmark Report 2016: The State of Digital Transformation and APIs

MuleSoft surveyed 802 IT decision makers (ITDMs) globally to assess how organizations of all sizes are executing on digital transformation initiatives, IT challenges and the role of APIs to meet business goals.

The survey results reveal challenges that are hindering IT’s ability to achieve digital transformation fast enough. Just 18% of ITDMs are very confident that they will succeed in meeting this year’s digital transformation goals. IT challenges are not only slowing down their ability to complete digital transformation goals this year, but they are also directly putting business revenue at risk. In fact, 66 percent of ITDMs said that their company’s revenue would be negatively impacted within six months. However, the survey found that IT teams are looking to APIs and reuse of existing applications, data and digital resources to speed up the pace of business.

Download the MuleSoft 2016 Connectivity Benchmark Report to:

  • Understand top IT priorities and investments this year
  • Learn why IT teams face challenges to meeting line-of-business and digital transformation goals
  • Discover which technologies and capabilities increase the pace of digital transformation and enable business teams to self-serve IT

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True or False: Debunking Flash Myths

This e-book addresses common misconceptions about enterprise flash storage, providing clarity for anyone using or considering flash in enterprise environments. Learn about old myths laid to rest and the reality of how enterprises can make full use of their flash storage investment.
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Flood Control: Overcoming Data Lake Challenges

These days, business leaders know their data contains valuable insights that could help their organizations become more successful. This is particularly true of unstructured data that doesn't reside in traditional data warehouses. Data lakes bring together disparate data to generate new insights, but their size and complexity can make them difficult to manage. Download this whitepaper to learn how new tools can help businesses control these complicated environments.
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Managing Big Data Workflows For Dummies

Stay ahead of the competition by learning how to use big data workflow automation and overcome big data implementation hurdles. Manage big data workflows to increase the value of enterprise data.

This guide will help you:

  • Know which big data technologies are most appropriate for your organization
  • Know where to get the latest information on big data and data science, including the industry's most cutting-edge conferences, books, blogs, and thought leaders to follow
  • Identify great hires when filling your big data staffing requirements
  • Put big data automation to work for your organization. Download the Managing Big Data Workflows For Dummies guide today.

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Hadoop Adoption Drivers and Challenges

Gartner's Hadoop adoption study results show that investment remains tentative in the face of sizable challenges around business value and skills. This analysis helps information leaders get past the market hype to rationalize their Hadoop adoption strategies.
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SAS®: A Comprehensive Platform for Big Data Governance, Data Management and Analytics

With the amount of information in the digital universe doubling every two years, big data governance issues will continue to inflate. This backdrop calls for organizations to ramp up efforts to establish a broad data governance program that formulates, monitors and enforces policies related to big data. Find out how a comprehensive platform from SAS supports multiple facets of big data governance, management and analytics in this white paper by Sunil Soares of Information Asset.
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The Future of Model Risk Management for Financial Services Firms

Banks have been using credit scoring models for decades, but since the financial crisis of 2008, regulators have formalized the discipline of model risk management (MRM), driving the need for more rigorous, enterprise-level model information management. Regulators now want to evaluate bank models to access their trustworthiness – not blindly accept the numbers they generate. This paper explores how next-generation MRM is integral to successfully running a financial services business – both for compliance and decision making purposes. Learn why decision makers today are judged not just on outcomes, but on the processes and decision support tools they use to realize them. And see why it’s absolutely critical that your firm be able to manage ever-growing numbers of models – what’s needed to do that effectively.
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Discovering the Business Value of Streaming Analytics

Many analytics and BI tools limit your ability to get insight in time to make a critical business decision. Once you detect a pattern, you have to work with a data scientist to choose data sets for more analysis, clean the data of noise, and code a query, all while the data becomes less and less relevant with passing time.

This resource explains streaming analytics and describes how it can enable real-time decision-making based on current evidence. Learn how you can resolve business problems more quickly and make data-driven decisions.
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Thirsting for Insight? Quench It With 5 Data Management for Analytics Best Practices

“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. In fact, most data scientists spend 50 to 80 percent of their model development time simply preparing data. SAS adheres to five data management best practices that provide access to all types of raw data and let you cleanse, transform and shape it for any analytic purpose. As a result, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes across your business.
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