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Data Management White Papers

  • The Art of Telling Stories with Data

    Sponsored by: Looker Google

    Data scientists know that coming up with business-critical insight is only half the battle—and sometimes the easier part. Persuading your audience to act is often an uphill fight. Check out this short e-book to learn how data visualization can be used to contrast more convincing arguments in a variety of use cases to a variety of audiences.

  • 2020 Modern Backup Buyers' Guide

    Sponsored by: Veeam Software

    Check out this white paper to learn the 6 attributes that organizations are considering as they look for the right data protection and data backup solution and discover the capabilities within each.

  • 2020 Data Protection Trends

    Sponsored by: Veeam Software

    Access this white paper to learn the business impact of data protection, find out how the data protection landscape is changing, and discover why Veeam’s Cloud Data Management goes beyond backup.

  • Securing Big Data

    Sponsored by: Thales

    In this white paper, explore the results of the various performance benchmarks run by the Vormetric Product Development team on a reference Hadoop configuration secured with Vormetric Transparent Encryption.

  • Ensuring an Open Data Lake Future

    Sponsored by: Dremio

    One of the advantages of building a data lake is that your organization has the potential to keep your basic data architecture the same, even as you switch BI and analytics tools around. Read on to learn how to avoid data lake vendor lock-in and ensure your data lake can serve your organization for years using its open architecture.

  • Reducing the Cost of Cloud Data Analytics: 3 Architecture Choices

    Sponsored by: Dremio

    As IT budgets shrink due to economic uncertainty, analytics demand expands as businesses try to make sense of that very same uncertainty. So how can your business reduce cloud data science costs while still getting the results you need? Check out this white paper by Dremio to learn 3 architecture choices to reduce your cloud analytics costs.

  • Big Data Engineering for Machine Learning

    Sponsored by: Qubole

    Machine learning tools operate differently than other analytics or automated tools; they require access to massive sets of unstructured and structured data, something that traditional data pipelines and engines struggle with. Check out this white paper to learn more about building the right framework for your machine learning-drive enterprise.

  • Financial Governance for Data Processing in the Cloud

    Sponsored by: Qubole

    Cloud platforms are powerful tools which allow companies to expand their data storage as they see fit and democratize data access across an organization, but often incur unexpected costs. Read this e-book to learn how your company can institute financial governance in the cloud, and control dangerous data growth and unnecessary resource usage.

  • The Only 100% Opex Solution for Veeam Backup

    Sponsored by: Zadara Storage

    Access this data sheet to learn how you can protect your data from ever-present threats like technology failures, natural disasters, and rogue employees with 6 key benefits of Zadara.

  • CIO Trends APAC: Developing a data-driven culture

    Sponsored by: ComputerWeekly.com

    In this e-guide, read more about what organisations in Asia-Pacific are doing to sharpen their data analytics strategies to cope with business demands in a challenging economic climate.

  • FalconStor StorSafe Overview

    Sponsored by: FalconStor Software

    Check out this white paper to learn how your organization can efficiently utilize essentially any storage environment while confidently ensuring data security and efficient archive access with FalconStor’s StorSafe.

  • The Rise of the Cloud Data Lake Engine

    Sponsored by: Dremio

    A new category of analytics platform has evolved. This guide walks you through the top takeaways and recommendations for the cloud data lake engine, and explores how it can positively impact your business.

  • SunnyD eliminates data silos with Infor Birst

    Sponsored by: Infor

    Access this white paper to discover how a comprehensive solution from Infor Birst lead to profit maximization across the supply chain for leading juice-based producer.

  • 5 Things Better Connectivity Can Help You Achieve

    Sponsored by: Verizon

    By 2025, the average connected person will interact with a connected device nearly 4,800 times per day—about once every 18 seconds. If your organization’s network is not amply prepared, you will be at risk of falling behind. Access this infographic for 5 business advantages of increasing connectivity and how they impact your bottom line.

  • Best Practices for Efficient and Productive Analytics

    Sponsored by: Dremio

    Access this white paper to learn Dremio’s best practices approach to organizing a semantic layer to enable interactive performance for business users and get guidance on designing and implementing the logical semantic layer.

  • Five Ways to Optimize Data Lake Costs for Ad-hoc Analytics, Streaming Analytics, and Machine Learning

    Sponsored by: Qubole

    Open this white paper to find five ways to optimize data lake costs for ad-hoc analytics, streaming analytics, and machine learning.

  • Controlling Classified Information

    Sponsored by: Clearswift

    Besides compliance requirements, data loss prevention (DLP) strategies are critical for maintaining good cybersecurity hygiene as well as avoiding financial or reputational damage. To learn more about Clearswift’s flexible and simple DLP offering, download this solution brief.

  • Data Driven Crisis Management

    Sponsored by: Outlier

    Since data-driven companies rely on historic data to make their decisions, unexpected scenarios like the COVID-19 pandemic can throw their plans up in the air and leave them without an obvious path forward. But don’t despair! Read on to learn how intelligent, careful data-driven leader can successfully navigate this crisis.

  • Enabling SQL Access to Your Data Lake with Presto, Hive and Spark

    Sponsored by: Qubole

    While SQL is the common langue of many data queries, not all engines that use SQL are the same—and their effectiveness changes based on your particular use case. So what engine is best for your business to build around? Check out this white paper comparing 3 popular SQL engines—Hive, Spark, and Presto—to see which is best for you.

  • Radar for File-Based Cloud Storage

    Sponsored by: Zadara Storage

    Access this white paper to study the GigaOm Radar which takes a look at leading vendors in the file storage space and categorizes them based on their strengths and weaknesses.

  • Operationalizing the Data Lake

    Sponsored by: Qubole

    Many organizations stumbled into having data lakes, erecting them in response to an overload of data and a lack of time to organize it instead of deliberately building a data lake with a specific use case in mind. Read this e-book, Operationalizing the Data Lake, to learn how you can take your data lake and start generating value with it.

  • Citrix Systems Improves Their Processes with Infor Birst

    Sponsored by: Infor

    While every business could use a BI tool that’s been perfected by the time they deploy it, the sad fact is that few BI tools are ready to slot into a business’s data infrastructure as is. Read on to learn how Infor Birst was able to integrate with Citrix’s data architecture easily to provide them with crucial data insight and aggregation.

  • The Little Book of Big Success with Snowflake: Data Lakes

    Sponsored by: Snowflake

    Many organizations seeking to handle data spread out across an ecosystem of disparate, varied, and siloed sources are now turning to Snowflake. With its scalable architecture and easy integration capabilities, it is replacing or complimenting many legacy data lakes. Read on to learn more about Snowflake’s Cloud Data Platform.

  • Migrating Oracle Database to Snowflake: Reference Manual

    Sponsored by: Snowflake

    Many companies are leaving their old databases behind and migrating to new, cloud platform services. But this process isn’t easy and requires significant preparation by your company. Check out this Snowflake white paper to learn how and why companies migrate from Oracle databases to Snowflake’s Cloud Data Platform.

  • Build a Modern Data Team

    Sponsored by: Matillion

    As companies shift their data architectures to the cloud, and SaaS solutions accommodate more data types, they’re finding their old data teams aren’t quite ready for today’s challenges. Review this white paper to learn how data science teams are changing their makeup, and how your business can reshape yours for the future.

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