Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Aggregations, Buckets, and Metrics

The video tutorial explores the use of aggregations in Elasticsearch, highlighting its efficiency in data analysis compared to Hadoop and Spark. It covers basic and advanced aggregation techniques, including examples with movie ratings and specific queries like finding average ratings for 'Star Wars'. The tutorial demonstrates how Elasticsearch can quickly compute metrics, create histograms, and perform complex data analysis tasks.

What is one of the main advantages of using Elasticsearch for aggregations over Hadoop or Spark?

• It is less reliable.

• It requires more hardware.

• It provides results in milliseconds.

• It is more expensive.

Which of the following is NOT a feature of Elasticsearch aggregations?

• Handling multidimensional data

• Real-time data streaming

• Creating data buckets

• Computing average of a field

In Elasticsearch, what does the term 'bucketing' refer to?

• Grouping data based on certain criteria

• Storing data in buckets

• Deleting data in bulk

• Encrypting data

What is a potential use case for Elasticsearch aggregations in text analysis?

• Creating histograms

• Handling multidimensional data

• Computing cumulative sums

• Analyzing significant terms

Which of the following is a common rating value format assumed in Elasticsearch aggregations?

• Hexadecimal numbers

• Binary numbers

• Floating point numbers

• Discrete numbers

How can you count only the five-star ratings in a dataset using Elasticsearch?

• By using a sort function

• By using a match query with a specific value

• By using a filter query

• By using a delete query

What is the purpose of setting 'size' to 0 in an Elasticsearch query?

• To include metadata in the results

• To increase the speed of the query

• To get all search results

• To exclude search results and only get aggregation results

How can you refine the results of an aggregation in Elasticsearch?

• By using a sort query

• By using a delete query

• By using a search query

• By using a nested query

Which function would you use to calculate the average rating of a movie in Elasticsearch?

• Average function

• Max function

• Sum function

• Min function

What is the benefit of nesting aggregations in Elasticsearch?

• It simplifies the data structure.

• It allows for more complex data analysis.

• It reduces the complexity of queries.

• It decreases the query execution time.