Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Elasticsearch and Apache Hadoop

The video tutorial covers the use of Hadoop and Elasticsearch for processing large datasets. It explains Hadoop's parallel processing capabilities, the MapReduce programming model, and how it distributes data across clusters. The tutorial compares Hadoop and Elasticsearch, highlighting their strengths in data ingestion and search capabilities. It also provides a step-by-step guide to setting up Hadoop, creating a MapReduce project, and running a job to process an Apache access log file.

What is the primary advantage of using Hadoop for data processing?

• It is only suitable for small datasets.

• It uses a single computer to process data.

• It processes data sequentially.

• It can process large volumes of data in parallel using a cluster.

In what scenario would Elasticsearch be more beneficial than Hadoop?

• When processing large volumes of data in parallel.

• When needing to quickly search and index data.

• When dealing with hardware failures.

• When using a single computer for data processing.

What are the three main stages of a MapReduce procedure?

• Start, Execute, Finish

• Input, Process, Output

• Map, Shuffle, Reduce

• Load, Analyze, Store

What is the purpose of the shuffle stage in MapReduce?

• To group values with the same key together.

• To split data into smaller chunks.

• To execute a map task on data.

• To output the final results.

Which command is used to install the default JDK required by Hadoop?

• sudo configure Hadoop

• sudo setup JDK

• sudo install Hadoop

• sudo apt install default JDK

What is the role of the Maven build tool in a MapReduce project?

• To visualize data in Kibana.

• To compile the MapReduce code into a jar file.

• To download the Apache access log file.

• To execute the MapReduce job.

Why is it recommended to disable speculative execution in Hadoop when output is sent to Elasticsearch?

• To reduce the number of reducer tasks.

• To increase the speed of data processing.

• To allow for more customization.

• To prevent duplicate entries or other issues.

What is the purpose of the East Output format class in a MapReduce job?

• To read input data from a text file.

• To write output to an Elasticsearch index.

• To execute the map task.

• To configure Hadoop properties.

Which tool is used to visualize data processed by Hadoop and indexed in Elasticsearch?

• Spark

• Kibana

• Logstash

• Maven

What is the first step in creating a MapReduce project using Maven?

• Run the MapReduce job.

• Download the Apache access log file.

• Create an empty Maven project using a code editor.

• Compile the project into a jar file.