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Aggregate And Compare Data With Elasticsearch Queries
Released 7/2026
By Amruta Mahajan
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 54m 15s | Size: 115.8 MB
Elasticsearch is powerful for search, but it's equally capable of aggregating and analyzing data at scale.
Elasticsearch is powerful for search, but it's equally capable of aggregating and analyzing data at scale.
In this course, Aggregate and Compare Data with Elasticsearch Queries, you'll gain the ability to summarize datasets using bucket and metric aggregations.
First, you'll discover how to use terms aggregations to rank top categories and apply metrics like count, average, sum, min, and max on numeric fields.
Next, you'll explore how to scope aggregations with filters, analyze trends over time using date_histogram, and handle real-world challenges like sparse data and missing buckets.
Finally, you'll learn how to drill into data using sub-aggregations and compute derived metrics like percent-of-total using pipeline aggregations.
When you're finished with this course, you'll have the skills and knowledge of Elasticsearch aggregations needed to build analysis-ready outputs from any dataset.
Homepage
Aggregate And Compare Data With Elasticsearch Queries
Released 7/2026
By Amruta Mahajan
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 54m 15s | Size: 115.8 MB
Elasticsearch is powerful for search, but it's equally capable of aggregating and analyzing data at scale.
Elasticsearch is powerful for search, but it's equally capable of aggregating and analyzing data at scale.
In this course, Aggregate and Compare Data with Elasticsearch Queries, you'll gain the ability to summarize datasets using bucket and metric aggregations.
First, you'll discover how to use terms aggregations to rank top categories and apply metrics like count, average, sum, min, and max on numeric fields.
Next, you'll explore how to scope aggregations with filters, analyze trends over time using date_histogram, and handle real-world challenges like sparse data and missing buckets.
Finally, you'll learn how to drill into data using sub-aggregations and compute derived metrics like percent-of-total using pipeline aggregations.
When you're finished with this course, you'll have the skills and knowledge of Elasticsearch aggregations needed to build analysis-ready outputs from any dataset.
Homepage
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