The growing need for organizations to treat information as an asset is making metadata management strategic, driving significant growth for metadata management solutions. We evaluate nine vendors to help data and analytics leaders find the solution that best suits the needs of their organization.
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it
removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility.
SAS adheres to five data management best practices that support advanced analytics
and deeper insights:
• Simplify access to traditional and emerging data.
• Strengthen the data scientist’s arsenal with advanced analytics techniques.
• Scrub data to build quality into existing processes.
• Shape data using flexible manipulation techniques.
• Share metadata across data management and analytics domains.
When used effectively, Hadoop can deliver unparalleled value in revealing new analytics-driven revenue streams, improving customer acquisition and retention, as well as increasing operational efficiencies. The Hadoop Buyer's Guide is an invaluable resource for those investigating or evaluating Hadoop---from understanding how Hadoop can solve your data challenges, to what to look for when selecting a solution, to comparing vendors, and preparing for implementation and future success. Download the guide, and get everything you need to know about choosing the right Hadoop distribution for your business success.
This independent whitepaper from the Kusnetzky Group Analyst describes the promise and challenges surrounding Big Data. It also validates the M7 solution from MapR, which simplifies big data management by consolidating disparate solutions into a single, enterprise-ready platform.
Forrester Research shares seven architectural qualities for evaluating Big Data production platforms.
In this webinar guest speaker Mike Gualtieri, Principal Analyst at Forrester, along with experts from MapR and Cisco, will present the following:
• The 7 architectural qualities for productionizing Hadoop successfully
• Architectural best practices for Big Data applications
• The benefits of planning for scale
• How Cisco IT is using best practices for their Big Data applications
• Mike Gualtieri, Principal Analyst at Forrester Research
• Jack Norris, Chief Marketing Officer at MapR Technologies
• Andrew Blaisdell, Product Marketing Manager at Cisco
• Sudharshan Seerapu, IT Engineer at Cisco
As the demand for Big Data analytics mushrooms, IT decision-makers must prepare for the widespread deployment of Hadoop. This Technical Insight Paper from the Evaluator Group outlines the key requirements that must be met to make Hadoop enterprise data center ready.
Does your business need to safeguard information, keep auditors and regulators satisfied, and improve data quality? Data governance is the answer. This informative video outlines the latest challenges and best practices in data governance. IBM data governance solutions help businesses with:• Audit and reporting • Data architecture/infrastructure • Data quality • Information lifecyle management • Metadata/business glossaries • Organizational design/development • Policy/risk management • Security/privacy/compliance • Stewardship/value creation
In today’s technology-driven world, a financial services organization’s ability to evolve the business quickly depends on the network. MetaFabric architecture, which is the foundation of Juniper’s unique end-to-end data center networking solution, helps financial services firms respond confidently to whatever happens in the market.
With an open, simple, and smart network in place, organizations can adapt quickly and seamlessly to changing requirements while eliminating the disruptions of forced upgrades and unnecessary purchases that come with vendor lock-in. Most importantly, the MetaFabric architecture helps companies stay at the forefront of innovation, keeping them one step ahead of the competition.
These days, everyone's talking about digital transformation. But exactly how does your company get there?
Capture is a great place to start — in fact, it's one of the most critical steps to take as you move your business into the digital age. Whether it’s simply using OCR to make content more easily discoverable, adding and enhancing metadata to drive specific processes, or classifying content from the onset for better information governance, capture adds a ton of value to your existing content assets.
This ebook details our key takeaways from AIIM's Industry Watch Report, Improving Business Operations in 2017: Capturing Vital Content. We share how cloud-based capture tools are replacing the longstanding legacy of paper-based processes to streamline and speed up the way you do business.
Download the ebook to learn:
• How the latest capture innovations can support your digital strategy
• 5 business processes that benefit most from advanced capture technologies
• The key benefits of c
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