Natural Langue Processing, or NLP, is one of the most active areas of research in Data Analytics due to the large volume of data available across the web and the need to analyze and gain insights from this data that constitute to development and growth from a business perspective. There are a number of areas like Entity Extraction, Event Classification Sentiment Analysis, and more that NLP can be thought of like a super set to. We considered how elasticsearch can be used as a source to visualize the end product of all these tasks. This series introduces basic level prototypes of the functional areas of NLP to help you get started.

Keep reading

Let's look at the basics of indexing data into Elasticsearch. A wealth of knowledge on Elasticsearch will help you understand why you sometimes encounter issues when working with both Logstash and Kibana. Many issues encountered by new users has to do with them not understanding how Logstash and Kibana interact with Elasticsearch.

Keep reading

Not yet enjoying the benefits of a hosted ELK-stack enterprise search on Qbox? Discover how easy it is to manage and scale your Elasticsearch environment.

Get Started 5 minutes to get started

In this last installment of the pipeline aggregation blog series, we introduce the remaining class of aggregations, which includes the stats, extended stats, and the percentile aggregations. These aggregations are used to get a range of statistics like the average, percentiles, mean square values, and more for the data we have.

Keep reading

In previous installments of the pipeline aggregation blog series, we discussed ready-made aggregations which are ready to be used with the query. In this post, we explore pipeline aggregations which make use of scripts for its operations, and thus provides flexibility for the user to handle the field data.

Keep reading

In this installment of the pipeline aggregations series, we introduce three important pipeline aggregations: Sum Buckets, Derivative Sum, and Cumulative Sum Aggregations. These aggregations provide us with easy ways to get required results by using the results of other aggregations.

Keep reading

Elasticsearch 2.0.0 has introduced one of the most anticipated feature requests in its arsenal, pipeline aggregations. This is an important addition to query dsl. It enables a user to operate on the results of other aggregations. Prior to this, it had to be done separately from the user side. This blog series covers, in detail, the types of pipeline aggregations along with examples.

Keep reading