Big Data Project Management Mastery
Understand Big Data concepts, tools for data collection and processing, and risk management in projects. Medium difficulty level.
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What is the Big Data project management?
It involves understanding the concept and specifics of Big Data, knowing the tools for collecting, processing, and exploiting data, using data visualization tools and managing project risks.
What are the types of databases?
Hierarchical databases, Network databases, Object-oriented databases, Relational databases, NoSQL databases, Distributed databases, and Graph-oriented databases.
What is the Hadoop MapReduce?
It's a programming model used for processing and generating big data sets with a parallel, distributed algorithm on a cluster.
What are the properties of ACID and BASE in databases?
ACID stands for Atomicity, Consistency, Isolation, Durability. BASE stands for Basically Available, Soft-state, Eventually consistent.
What are the limitations of relational databases?
They're unable to manage very large volumes of data, cannot handle extreme throughput, are unsuitable for unstructured storage, and the ACID properties result in significant latency costs.
What are the features of Hadoop?
High-performance processing and storage, resilience, high availability, horizontal scalability, optimized for batch reading (WORM), flexibility, vast and growing ecosystem.