Data Protection Considerations for Multi-Cloud Environments

Veeam

The benefits of turning to the cloud are numerous; scalability, control, flexibility, and power to name a few. While transitioning to the cloud has many strong points, there are still the challenges of data and application protection. In this webinar, you’ll learn:
- How to leverage multi-cloud as an addition to your traditional data center
- What applications and services require the most protection in hybrid mode and how to protect them
- The importance of portability and how to avoid lock-in
- How to get better compliance and data protection by moving data between on-prem and the cloud.
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Spotlight

This infographic gives a better understanding of the top five information sources that workers in operations, maintenance and engineering organizations in the automotive industry must analyze to make business decisions in real time.

OTHER ON-DEMAND WEBINARS

Data Modeling at the Environment Agency of England Case Study

Global Data Strategy Ltd

The Environment Agency uses data models as a key part of their digital journey in reporting scientific results for water quality, fisheries, conservation and ecology, flood management, and more. Join special guest Becky Russell from the Environment Agency along with host Donna Burbank as they discuss how they were able to gain buy-in from various departments across the organization using data models and data standards
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Setting Up a Data Integration Pipeline for Repeatable Analytics Delivery

GoodData Corporation

As part of its platform, GoodData provides a fault-tolerant, high performance and scalable system for data integration. While built for large-scale analytic applications, it is a metadata-driven, modular system that can start small and grow with your business. In this session, Cameron demonstrates how to set up and schedule regular data extraction from SQL databases and other sources. He also covers some of the issues requiring attention in data extraction such as data merging and incremental loads. A future session will cover transformations and data enrichment along with data distribution.
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Sharing and Deploying Data Science with KNIME Server - February 2019

KNIME

You’re currently using the open source KNIME Analytics Platform, but looking for more functionality - especially for working across teams and business units? KNIME Server is the enterprise software for team based collaboration, automation, management, and deployment of data science workflows, data, and guided analytics. Non experts are given access to data science via KNIME Server WebPortal or can use REST APIs to integrate workflows as analytic services to applications, IoT, and systems.
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Gain Context, Insight and Value from Big Content

OpenText

The Internet of Things, social media and enterprise content all have one thing in common: they generate vast quantities of data — ever-faster. So much so that picking out relevant information and assembling it into meaningful patterns is a tall order. These new data sources also present another challenge. They generate unstructured data - such as text and emojis - that don’t fit neatly into traditional database structures. This data can however hold valuable insights on important and hard-to-quantify concepts such as social sentiment.
Watch Now

Spotlight

This infographic gives a better understanding of the top five information sources that workers in operations, maintenance and engineering organizations in the automotive industry must analyze to make business decisions in real time.

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