Jul 2018
23 Mon
24 Tue
25 Wed
26 Thu 07:45 AM – 06:15 PM IST
27 Fri 07:45 AM – 05:35 PM IST
28 Sat
29 Sun
Jul 2018
23 Mon
24 Tue
25 Wed
26 Thu 07:45 AM – 06:15 PM IST
27 Fri 07:45 AM – 05:35 PM IST
28 Sat
29 Sun
Amrit Sarkar
Apache Solr, an open source search engine project, has come a long way since its inception driving applications to have near-real time data mixed with richrelevance available to users with high availability, auto-scaling and effective failover strategy on cloud infrastructure.
Effective real-time analysis and visualization of collected and correlated data to get insights is high need for businesses. Streaming Expressions introduced in Apache Solr v 6.0 provides powerful stream language for Solrcloud. They are a suite of functions that can be combined to perform many different parallel computing tasks like aggregations, parallel relational algebra, batch processing, distributed graph traversal and related MapReduce operations and use-cases.
In Lucidworks, San Francisco California-based enterprise search technology company, we solve complex problems and implement use cases in and around search and analytics paradigm for multiple clients on huge datasets. This session will focus on challenges faced in building near-real time analytics applications on large datasets. We introduce Streaming Expressions in Apache Solr, discuss the concept and key components it is build upon. The session moves on to discuss how Streaming Expressions not only fulfills the expectations, it open doors for numerous possibilities emitting effective, valuable and meaningful analytical data with its ever growing library of functions.
Amrit Sarkar is Search Engineer and Consultant at Lucidworks Inc, California-based enterprise search technology company, with 3+ years experience in search domain and big data, ecommerce and product.
He is an active Apache Solr Contributor for over an year.
LinkedIn: https://www.linkedin.com/in/sarkaramrit2
Blog: https://www.medium.com/@sarkaramrit2
Jul 2018
23 Mon
24 Tue
25 Wed
26 Thu 07:45 AM – 06:15 PM IST
27 Fri 07:45 AM – 05:35 PM IST
28 Sat
29 Sun
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