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 web application to create and share documents that contain live code, equations, visualizations, and narrative text. Also need to allow to host multiple instances of a single-user notebook server and Amazon EMR creates a Docker container on the cluster`s master node and sparkmagic as key component to run within the container.
Which EMR Hadoop ecosystem fulfills the requirements?
Select 2 options.

Answer options:

A.Apache Hive
B.EMR Notebook
C.D3.js
D.JupyterHub
E.Zeppelin

Answer: B, 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.html
Option B is correct. EMR Notebooks is a Jupyter Notebook environment built in to the Amazon EMR console that allows you to quickly create Jupyter notebooks, attach them to Spark clusters, and then open the Jupyter Notebook editor in the console to remotely run queries and code. An EMR notebook is saved in Amazon S3 independently from clusters for durable storage, quick access, and flexibility. You can have multiple notebooks open, attach multiple notebooks to a single cluster, and re-use a notebook on different clusters
https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-jupyter-emr-managed-notebooks.html
Option C is incorrect. D3.js (or just D3 for Data-Driven Documents) is a JavaScript library for producing dynamic, interactive data visualizations in web browsers. It makes use of the widely implemented SVG, HTML5, and CSS standards. D3.js provides wonderful visualizations but is not a EMR ecosystem component and need to have a javaScript server to support execution of the code.
https://d3js.org/
Option D is correct. Jupyter Notebook is an open-source web application that you can use to create and share documents that contain live code, equations, visualizations, and narrative text. JupyterHub allows you to host multiple instances of a single-user Jupyter notebook server. When you create a cluster with JupyterHub, Amazon EMR creates a Docker container on the cluster`s master node. JupyterHub, all the components required for Jupyter, and Sparkmagic run within the container.
https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-jupyterhub.html
Option E is incorrect: Zeppelin is web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more. In case of zeppelin, docker containers are not created for each users on cluster master node.
https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-zeppelin.html