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
Metrices for Data Quality 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. Big …
Big Data – Readiness and Risk Assessment
Big Data Readiness Assessment As with any development project, the implementation of a Big Data or Data Science initiative should align with real business needs. Assess organizational readiness in relation …
Big Data – Visualization Tools
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 …
Big Data – Cloud Solutions and Statistical Computing
Big Data and Cloud Computing Big Data – Cloud Solutions There are vendors who provide cloud storage and integration for BigData, including analytic capabilities. Based on defined standards, customers load …
Big Data – Distributed File-Based Databases
Hadoop Distributed File System Distributed file system-based solutions technologies, such as the open source Hadoop, are an inexpensive way to store large amounts of data in different formats. Hadoop stores …
Big Data – MPP Shared-nothing Technologies and Architecture
Massive Parallel Processing Massive parallel processing (MPP) has evolved because traditional computing paradigms (indexes, distributed data sets, etc.) did not provide acceptable response times on massive tables. Massively Parallel Processing …