GDPR was likely one of the biggest challenges in data management that occurred in 2018. Yulia Trakhtenberg dives into a one-year retrospective about how it was executed in reality at a large-scale data organization.

Rapid application innovation is characterized in part using shared code from open source components. While open source development offers many benefits, when regulators change the rules our strengths …

Anti-patterns are behaviors that take bad problems and lead to even worse solutions. In the world of data security and privacy, theyre everywhere. Over the past four years, data security and privacy anti-patterns have emerged across hundreds of customers and industry verticalsthere's been an obvious trend. Steven Touw details five anti-patterns and, more importantly, the solutions for them.

California is following the EU's GDPR with the California Consumer Protection Act (CCPA) in 2020. Penalties for non-compliance, but many companies aren't prepared for this strict regulation. This session will explore the capabilities your data environment needs in order to simplify CCPA and GDPR compliance, as well as other regulations.

Data challenges are halting AI projects for multiple reasons, and open source developers are looking for solutions. Do you know how to share data sets properly? Just like software, you don't want to p …

Paco Nathan offers an overview of its history, themes, tools, process, standards, and morepartly based on interviewing experts in this field about issues and best practices. Join in to learn what impact machine learning has on data governance and vice versa, along with an overview of open source projects and open standards in this space.

The implications of new privacy regulations for data management and analytics, such as the General Data Protection Regulation (GDPR) and the upcoming California Consumer Protection Act (CCPA), can seem complex. Mark Donsky and Nikki Rouda highlight aspects of the rules and outline the approaches that will assist with compliance.

Effective data governance is foundational for AI adoption in enterprise, but it's an almost overwhelming topic. Paco Nathan offers an overview of its history, themes, tools, process, standards, and more. Join in to learn what impact machine learning has on data governance and vice versa.

New regulations such as CCPA and GDPR are driving new compliance, governance, and security challenges for big data. Infosec and security groups must ensure a consistently secured and governed environment across multiple workloads. Mark Donsky, Ifigeneia Derekli, Lars George, and Michael Ernest share hands-on best practices for meeting these challenges, with special attention paid to CCPA.

Effective data governance is foundational for AI adoption in enterprise, but it's an almost overwhelming topic. Paco Nathan offers an overview of its history, themes, tools, process, standards, and more. Join in to learn what impact machine learning has on data governance and vice versa.

The implications of new privacy regulations for data management and analytics, such as the General Data Protection Regulation (GDPR) and the upcoming California Consumer Protection Act (CCPA), can seem complex. Mark Donsky and Nikki Rouda highlight aspects of the rules and outline the approaches that will assist with compliance.

Effective data governance is foundational for AI adoption in enterprise, but it's an almost overwhelming topic. Paco Nathan offers an overview of its history, themes, tools, process, standards, and more. Join in to learn what impact machine learning has on data governance and vice versa.

Imagine building a model whose training data is collected on edge devices such as cell phones or sensors. Each device collects data unlike any other, and the data cannot leave the device because of privacy concerns or unreliable network access. This challenging situation is known as federated learning. Mike Lee Williams discusses the algorithmic solutions and the product opportunities.

Geo-partitioning is an emerging requirement for multinational corporations. Laws such as the GDPR in Europe stipulate where a users data needs to be physically located, as well as when it can be tran …

Today companies face the need to spread workloads across several clusters, leverage the capabilities of specific clouds, create more resilient services, or comply with GDPR by locating and securing sp …

For organizations collecting EU users data, the General Data Protection Regulation presents considerable challenges. Data must be anonymized and only essential data can be collected. Users must be ab …

Building distributed systems is hard. Building distributed systems that are secure and compliant is even harder. A service mesh such as Istio can help solve engineering problems youll face when secur …

Since launching in 2009, Uber has become the poster child for explosive growth - in revenue, headcount, and operational complexity. This growth has created new challenges for Ubers engineering team a …