Data Governance Principles Accountability in a Cloud Environment In BDaaS, data ownership and accountability may become complex because of the cloud infrastructure and multiple third-party vendors. Clear roles must be …
BDaaS (Big Data As-a-Service) – General Activation Steps
Assessment: Understanding Organizational Needs and Compliance Requirements Begin the BDaaS General Activation process by conducting a thorough assessment of your organization’s specific needs and objectives. Identify the types of data …
BDaaS (Big Data As-a-Service) – Enablement Methodology
Framework Development: Establish a Big Data as a Service (BDaaS) enablement methodology with a comprehensive governance framework that seamlessly integrates BDaaS capabilities into organizational goals and objectives. This involves Compliance …
BDaaS (Big Data As-a-Service) – Challenges & Risks in BDaaS Implementation
Data Security (Big Data As a Service) (Big Data As a Service) One of the core challenges when implementing BDaaS is ensuring the security of centralized data, as this architecture …
Big Data – Metrics
Metrics are vital to any management process; they not only quantify activity, but can define the variation between what is observed and what is desired. Technical Usage MetricsMany of the …
Big Data – Readiness and Risk Assessment
As with any development project, implementation of a Big Data or Data Science initiative should align with real business needs. Assess organizational readiness in relation to critical success factors: Business …
Big Data – Visualization Tools
Traditional tools in data visualization have both a data and a graphical component. Advanced visualization and discovery tools use in-memory architecture to allow users to interact with the data. Patterns …
Big Data – Cloud Solutions and Statistical Computing
Big Data – Cloud Solutions: There are vendors who provide cloud storage and integration for Big Data, including analytic capabilities. Based on defined standards, customers load their data a cloud …
Big Data – Distributed File-Based Databases
Distributed file-based solutions technologies, such as the open source Hadoop, are an inexpensive way to store large amounts of data in different formats. Hadoop stores files of any type – …
Big Data – MPP Shared-nothing Technologies and Architecture
MPP has evolved because traditional computing paradigms (indexes, distributed data sets, etc.) did not provide acceptable response times on massive tables. Massively Parallel Processing (MPP) Shared-nothing Database technologies have become …