Big-Data-as-a-Service: On-Demand Elastic Infrastructure for Hadoop and Spark

Despite good intentions, data management strategy and practices are coming up short in the majority of organizations. This is often due to many factors that are attributable to low data maturity and misalignment with business objectives. IDERA’s Ron Huizenga will discuss a number of misconceptions and behaviors that limit effectiveness, as well as how to overcome them. This will enable you to identify and implement the necessary changes to achieve business alignment and derive maximum value from your data management strategy and practices

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.

With today’s increasingly complex data ecosystems, the Enterprise Data Model (EDM) is a strategic imperative that every organization should adopt. An Enterprise Data Model provides context and consistency for all organizational data assets, as well as a classification framework for data governance. Enterprise modeling is also totally consistent with agile workflows, evolving incrementally to keep pace with changing organizational factors. In this session, IDERA’s Ron Huizenga will discuss the increasing importance of the EDM, how it serves as a framework for all enterprise data assets, and provides a foundation for data governance.

Cloud data management CDM is simply data management that involves clouds. For example, when focused on data persistence, CDM provides cloud-native data storage and optimized processing for the burgeoning volumes of enterprise data, big data, and data from new sources that users are choosing to manage and use on clouds. When focused on integration, CDM provides data integration infrastructure (with related functions for quality and semantics) to unify multicloud and hybrid on-premises/cloud environments.