Realizing the Value of Big Data through Data Quality

Denodo DataFest, the premier agile data management and analytics conference, returned once again to New York and London in 2018. Our annual user conference brings together industry analysts, subject matter experts, business leaders, data management leaders to discuss data strategies to enable a successful journey to the cloud, self-service BI, and data lakes with data virtualization. The event invited attendees to watch demos, hear customer success stories, and educate themselves on the best practice implementations of data virtualization.

Data is the lifeblood of any organization, but it comes with significant obligations. The continued growth in data volume, migration to hyperscale multicloud environments and rapidly evolving regulatory environments make it more challenging than ever to efficiently address these obligations. Traditionally organizations have used a variety of siloed tools that were generally not designed for petabytes of data in the cloud. Join Mahood Khan, Global CISO from CNA, along with Rehan Jalil, CEO from Securiti, as they share how CNA has embraced a Unified Data Controls paradigm to efficiently address data security, privacy, governance and compliance requirements with a common platform.

The definition of Data Governance can vary depending on the audience. To many, Data Governance consists of committees and stewardship roles. To others, it focuses on technical Data Management and controls. Holistic Data Governance combines both aspects, and a robust Data Architecture can be the “glue” that binds business and IT governance together. Join this webinar for practical tips and hands-on exercises for aligning Data Architecture and Data Governance for business and IT success.

Getting insights from observability data such as logs and metrics is essential for managing cloud services reliably. However, managing massive observability data volumes can be expensive and complex. Luckily observability data pipelines can help IT handle large data volumes and reduce costs by processing, routing, and filtering data across teams, tools, and storage options. Should you build your own or buy?