EMR Hadoop Ecosystem
Question
Allianz Financial Services (AFS) is a banking group offering end-to-end banking and financial solutions in South East Asia through its consumer banking, business banking, Islamic banking, investment finance and stock broking businesses as well as unit trust and asset administration, having served the financial community over the past five decades. AFS launched EMR cluster to support their big data analytics requirements.
AFS has multiple data sources built out of S3, SQL databases, MongoDB, Redis, RDS, other file systems.
AFS is looking for a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services on Hadoop. Which EMR Hadoop ecosystem fulfills the requirements? Select 1 option.
Answers
Explanations
Click on the arrows to vote for the correct answer
A. B. C. D.Answer : D.
Option A is incorrect -Hive is an open-source, data warehouse, and analytic package that runs on top of a Hadoop cluster.
Hive scripts use an SQL-like language called Hive QL (query language) that abstracts programming models and supports typical data warehouse interactions.
Hive enables you to avoid the complexities of writing Tez jobs based on directed acyclic graphs (DAGs) or MapReduce programs in a lower level computer language, such as Java.
Hive extends the SQL paradigm by including serialization formats.
You can also customize query processing by creating table schema that matches your data, without touching the data itself.
In contrast to SQL (which only supports primitive value types such as dates, numbers, and strings), values in Hive tables are structured elements, such as JSON objects, any user-defined data type, or any function written in Java.
https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-hive.htmlOption B is incorrect -HBase is an open source, non-relational, distributed database developed as part of the Apache Software Foundation's Hadoop project.
HBase runs on top of Hadoop Distributed File System (HDFS) to provide non-relational database capabilities for the Hadoop ecosystem.
HBase works seamlessly with Hadoop, sharing its file system and serving as a direct input and output to the MapReduce framework and execution engine.
HBase also integrates with Apache Hive, enabling SQL-like queries over HBase tables, joins with Hive-based tables, and support for Java Database Connectivity (JDBC).
https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-hbase.htmlOption C is incorrect -HCatalog is a tool that allows you to access Hive metastore tables within Pig, Spark SQL, and/or custom MapReduce applications.
HCatalog has a REST interface and command line client that allows you to create tables or do other operations.
https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-hcatalog.htmlOption D is correct -Apache ZooKeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services.
https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-zookeeper.htmlThe EMR Hadoop ecosystem that fulfills the requirements of AFS for maintaining configuration information, naming, providing distributed synchronization, and providing group services on Hadoop is Apache ZooKeeper.
Apache ZooKeeper is a distributed coordination service that provides a centralized repository for configuration information, naming, providing distributed synchronization, and group services on Hadoop. It allows distributed processes to coordinate with each other through a shared hierarchical namespace called a "zookeeper." This hierarchical namespace is similar to a file system, where each node in the hierarchy can contain data and can have children nodes.
Apache Hive is a data warehousing and SQL-like query engine that can perform SQL-like queries on large datasets stored in Hadoop. It provides a SQL-like interface to data stored in Hadoop Distributed File System (HDFS) and supports the MapReduce programming model.
Apache HBase is a NoSQL database that provides random access to large amounts of structured and semi-structured data stored in Hadoop. It is built on top of Hadoop Distributed File System (HDFS) and provides low-latency read and write access to data.
Apache HCatalog is a table and storage management layer for Hadoop that provides a unified interface for storing and managing data in Hadoop. It provides a metadata repository for Hadoop and enables users to access data stored in Hadoop using different query engines like Hive, Pig, and MapReduce.
In conclusion, Apache ZooKeeper is the EMR Hadoop ecosystem that provides a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services on Hadoop, fulfilling the requirements of AFS.
