An overview of steps needed to comply with GDPR

EUGDPRAcademy

This webinar to learn:
- Key steps towards GDPR compliance
- Tips for implementation – using tools, hiring a consultant, costs involved, how long it takes
- Documentation required by the regulation
- Relationships with information security standards
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Spotlight

The Master of Data Science addresses demand for specialist data scientists to manage and analyse big data accumulating from sources such as social media, sensors, mobile and transaction data.

OTHER ON-DEMAND WEBINARS

What’s Ahead in Data Management in 2019?

tdwi.org

This webinar is a must attend for technical users and business managers who are facing these changes. The expert panel on this webinar will help attendees understand what’s ahead in 2019 and beyond for data management. Attendees can then apply that information to prioritize the data management changes they must address and how they will prepare via hiring, training, budgeting, making a business case, and adopting the right data platforms and tools.
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Data Observability / DataOps using AI

Modern-day systems are transforming into complex, open-source, cloud-native services running on various environments and being developed/deployed at lightning speed by distributed teams. When working on these systems, identifying a broken link in the chain can be near impossible. Everything fails at one point or another, whether due to code bugs, infrastructure overload, or changes in end-user behavior or market driven factors or errors in data collection. This has led to the rise of DataOps with a focus on changing the organizational speed and trust in delivering data pipelines and the related artifacts by co-creating “decision quality” data with the consumers. This development has led to the idea of observability that includes monitoring, tracking, and triaging incidents to prevent downtime of the systems and around several factors such as freshness, distribution, volume, schema, lineage.
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Citrix Moves Data to Amazon Redshift Fast with Matillion ETL

Amazon Web Services, Inc

Citrix, a Fortune 1000 multinational software company, needed to migrate massive amounts of data generated by its FileShare platform to Amazon Redshift, where it could perform data analytics to help inform product improvements and drive success. To do this, Citrix needed an Extract, Transform, and Load (ETL) solution. Matillion ETL, easily deployable from Amazon Web Services (AWS) Marketplace, helps Citrix collate and summarize data and augment it with more traditional business data from Microsoft SQL Server for additional context. Join our webinar to learn how organizations of any size can move data to the cloud quickly, accurately, and affordably with Matillion ETL.
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Building Next-Gen Data Pipelines with Databricks Delta

Databricks

Building performant ETL pipelines to address analytics requirements is hard as data volumes and variety grow at an explosive pace. With existing technologies, data engineers are challenged to deliver data pipelines to support the real-time insight business owners demand from their analytics. Databricks Delta is the next generation of evolution in big data processing from Databricks, the company founded by the original creators of Apache Spark.
Watch Now

Spotlight

The Master of Data Science addresses demand for specialist data scientists to manage and analyse big data accumulating from sources such as social media, sensors, mobile and transaction data.

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