Data Management Research
-
The Balance of Data Management
Sponsored by: ClouderaData managers have to carefully balance how they carry their positions in a company. As big data demands speedier application building, they have to be the voice of reason that maintains best practices. Read this e-guide to learn how data managers should be collaborating with analysts and other roles to keep business data expectations realistic.
-
10 Must-Have Features for Big Data Analytics Tools
Sponsored by: ClouderaIn this e-guide, discover the 10 must-have features in big data analytics tools that can help reduce the effort required by data scientists to improve business results.
-
MDM Hubs Made Simple
Sponsored by: TIBCOA common struggle with legacy data management solutions is data accessibility—or its lack thereof. This is where master data management (MDM) hubs come into play. Download this e-guide to learn how to setup an MDM hub in 9 steps, followed by advice on making the case to management for MDM tools investments.
-
Multi-cloud Management: 6 Must-have Features and Cost Considerations
Sponsored by: Cisco Systems, Inc.Managing multi-cloud environments can be daunting, especially as applications grow more complex, users become more distributed, and compliance standards become stricter. So, how you maximize each cloud platform's capabilities while also minimizing costs? Read this TechTarget-produced expert guide to find out.
-
Data Protection, Backup and Replication in the Age of the Cloud
Sponsored by: VelosioThis expert guide examines the data protection conundrum in the age of the cloud, with special attention given to meeting SLAs, the benefits and downsides of public cloud backup, and ransomware and security.
-
Building a Business Glossary—and Why You Should
Sponsored by: Intozetta LtdRead this e-guide to learn how to create a commonly understood collection of data definitions within your organization that will keep your analytics optimized and in sync for improved long-term profitability.
-
The Growing Importance of Data Governance Strategy
Sponsored by: Intozetta LtdYou aren't uncovering the full potential of your data unless you're tracking and utilizing its metadata—meaning that master data management (MDM) should not be ignored. Read this expert e-guide to learn more about MDM and the dawn of data governance—and why modern organizations need a strong data governance strategy.
-
On-premises, in the Cloud and Hybrid: Object Storage Options and Use Cases
Sponsored by: Western DigitalThis expert guide looks at how object storage is tackling the issue of unstructured data volumes. Access it now for an in-depth look at object storage use cases and 11 vendors to see for yourself if it's a good fit for your organization.
-
Handbook: Choosing a Converged Data Protection Solution
Sponsored by: TechTarget Data BackupThis guidebook offers expert advice on evaluating converged data protection solutions, with consideration given to the value and risk of integrating data protection and management and what vendors have to offer. For assistance with assessing your company's options, read the guidebook here.
-
The State of Cybersecurity and How It Will Evolve
Sponsored by: ALTRDownload this e-guide for an exclusive Q&A with Raluca Ada Popa. Popa is equipped with four degrees from Massachusetts Institute of Technology, two research fellowships and a bevy of awards and merits. In this Q&A Popa discusses the future of data security and the challenges of ensuring adequate defense.
-
Cloud vs. Legacy ERP Systems: Tug of War Intensifies for SMBs
Sponsored by: Oracle NetSuiteEver-changing consumer demands, technology landscapes and market disruptions, plus maintenance and support costs, put more pressure on IT and business managers to upgrade or replace their legacy ERP systems sooner rather than later. Is switching to the cloud the solution for you? Read on to find out.
-
Best Practices for Data Backup and DR Planning in 2019
Sponsored by: New Cloud NetworksIn this forward-thinking guide, our experts walk you through 10 backup planning best practices, 3 common DR challenges from this year and how to learn from them, and more. Use this guide as a means of benchmarking your current processes and planning for next year.
-
E-Discovery:How CloudBasedStrategiesAre Changingthe World of Law
Sponsored by: MimecastDownload this e-guide to learn how e-discovery is conquering containerized data with comprehensive cloud-based strategies, and explore how e-discovery's existence has changed the world of law through collaboration.
-
Hammerspace Targets Data Silos with New Software Service
Sponsored by: HammerSpaceStartup Hammerspace is taking aim at data silos to give companies access to their unstructured data whenever and wherever they need it across on-premises and public cloud sites. Download this e-book to learn more about Hammerspace, their product, and competitors.
-
Startup Hammerspace Launches with Hybrid Cloud-era NAS Virtualization
Sponsored by: HammerSpaceStartup Hammerspace has come out with a product that aims to give customers access to unstructured data, anywhere and on-demand. Read this e-guide to learn more about Hammerspace, key use cases for this solution, and more on how it aims to simplify multi-cloud storage.
-
Apache Kafka Tips & Tricks
Sponsored by: InstaclustrStream processing software like Apace Kafka has become a valuable tool for providing enterprises with extreme data processing connectivity, but understanding the deeper nuances of the platform can be a struggle. This expert guide provides 9 tips to make sure your Kafka deployment remains simple and fully optimized.
-
The Relationship Between IoT & AI
Sponsored by: Estafet LtdThe future of the digital world relies on how people and "things" will interact with each other. Download this expert guide to unveil the intimate relationship between IoT and AI for in-process hybrid transactional/analytical processing (HTAP).
-
Mastering Machine Learning: How It Works & Drives Success
Sponsored by: Estafet LtdArtificial intelligence is expanding technology's potential and those companies that develop the technology soonest with experience an edge on their competition. Download this expert guide to explore How companies are using AI and machine learning to enhance automation, CX, IoT and more.
-
Understanding the BI Market
Sponsored by: CornerstoneThe BI market is wide and varied, and ever evolving. Get the help you need navigating the vibrant options available to your business by downloading and reading this expert guide to BI and analytics tools.
-
4 Rules to Craft an Enterprise Data Archiving Strategy
Sponsored by: NasuniIn this e-guide by George Crump, President of Storage Switzerland learn the proper 4-step process to crafting a data archiving strategy.
-
Balancing Big Data with Predictive Analytics
Sponsored by: CenterityIn this expert guide, discover a 5-step process to predictive analytics, specific challenges of the 3Vs of big data, and how to combine predictive analytics and big data to provide the analytical insights that you need.
-
The Secrets to Advanced Analytics Success
Sponsored by: GuavusIn this expert guide, explore data visualization's central role in advanced analytics applications, and learn best practices when planning an analytics project from Sai Devulapalli – data analytics product and business leader at Dell.
-
Real-Time vs. Near-Real-Time Analytics
Sponsored by: GuavusThis expert guide gives you an understanding of the differences between real-time and near-real-time analytics and explores cloud platform choices are when it comes to real-time analytics. In addition, explore why telcos need real-time analytics to fuel their success and how to accomplish this.
-
Developing a Mature Analytics Environment
Sponsored by: GuavusThis e-guide explores the need to evolve your data management systems and sort out your analytics game before introducing an AI tool.
-
Beating the Challenges of AI, Big Data and Predictive Analytics
Sponsored by: GuavusIn this expert guide, discover how big data forms machine learning bias and how these biases can be prevented, if at all. Also, learn how big data influences predictive analytics and distinguishing features of both.
