Final Exam: Big Data Infrastructures
Big Data 2021 | Beginner
- 1 Video | 10m 32s
- Includes Assessment
- Earns a Badge
Final Exam: Big Data Infrastructures will test your knowledge and application of the topics presented throughout the Big Data Infrastructures track of the Skillsoft Aspire Data for Leaders and Decision Makers Journey.
WHAT YOU WILL LEARN
define the big 7 characteristics that define Big Datadefine the role of the data processing layer and specify how information captured in the previous layer is processeddescribe graph database use cases and specify why the relationship between data is as important as the data itself in a graph databasedescribe Spark and how it offers open-source scalable massively parallel in-memory solutions for analytics applicationsdescribe the challenges in the current data analytics models and system designs such as scalability, consistency, reliability, efficiency, and maintainabilitydescribe the concept of Big Data and the history behind itdescribe the difference between horizontal and vertical scalingdescribe the rewarding role of NoSQL databases in horizontal distribution of large, structured and unstructured datadescribe the subcomponents of Hadoop such as MapReduce and HDFSdescribe what horizontal scaling is and specify how it eliminates the need for adding more memory to existing machines by using clusters (AKA, Sharding )
identify the sources that are capable of generating Big Datalist the main characteristics of Spark such as loading behavior, file formats, parallelism, cache, data skewsname and describe the features of Storage systems such as HDFS, S3 and Object stores, Elastic Search and Apache Solr, Kudu, CockroachDBname and describe the four types of Big Data Analytics (i.e. Prescriptive, Predictive, Diagnostic, Descriptive)name and describe the role of the main layers of Big data analytics from the bottom to the topname most important performance optimization techniques such as file format selection, level of parallelism and API selectionrecognize the need for Big Dataspecify the shortcoming of distributed systems and why these shortcomings make Big Data even more importantspecify use cases, benefits and challenges of popular key-value data storesspecify when to use NoSQL and when to use SQL database
IN THIS COURSE
1.Big Data Infrastructures33sUP NEXT
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