| Sumario: | "Simple tasks like running a program or storing and retrieving data become much more complicated when you do them on collections of computers, rather than single machines. Through this advanced-level Learning Path, you'll sharpen your architectural skills by understanding the key challenges that emerge in the main areas of distributed systems: storage, computation, messaging, timing, and consensus. You'll also learn how to develop and administer highly scalable big data applications using Apache Accumulo, including advanced topics such as reading and writing secondary indexes and handling hardware failure. Learn to model and design an agile data warehouse, and use Elasticsearch to search, aggregate, analyze, and scale large volume datastores. Finally, you'll learn how to identify insecurities in your big data cluster, and understand how to secure them using techniques such as MIT Kerberos, authentication with Active Directory, and authorization."--Resource description page.
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