Techniques to Establish Your Data Lake: How to Achieve Data Quality and Security

Presented by

Ben Sharma, CEO and Co-Founder, Zaloni

About this talk

The growing volume and variety of data makes it imperative for organizations to manage and govern their data in a way that's scalable and cost-effective. The data lake – once considered just a relatively inexpensive storage solution – can now be a tool for deriving true business value. By implementing a set of best practices for establishing and managing your data lake, you can achieve 360-degree control and visibility of your data. In this webcast, Ben Sharma, Zaloni's co-founder and CEO discusses techniques to balancing the flexibility a data lake can provide with the requirements for privacy and security that are critical for enterprise data. Topics covered include: - How to establish a managed data ingestion process - that includes metadata management - in order to create a solid foundation for your data lake - Techniques for establishing data lineage and provenance - Tips for achieving data quality - Key considerations for data privacy and security - Unique stages along the data lake lifecycle and management concepts for each stage - Why a data catalog is important - Considerations for self-service data preparation About the speaker: Ben Sharma is CEO and co-founder of Zaloni. He is a passionate technologist and thought leader in big data, analytics and enterprise infrastructure solutions. Having previously worked in technology leadership at NetApp, Fujitsu and others, Ben's expertise ranges from business development to production deployment in a wide array of technologies including Hadoop, HBase, databases, virtualization and storage. Ben is co-author of Architecting Data Lakes and Java in Telecommunications. He holds two patents.

Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (81)
Subscribers (7323)
At Zaloni, we believe in the unrealized power of data. Our software platform, Arena, improves DataOps with an augmented catalog and controlled, self-service consumption. We work with the world's leading companies, delivering trusted data agility and cost savings while accelerating the time to analytics value. To find out more visit