In 2014, infrastructure components such as Hadoop, Berkeley Data Stack and other commercial tools have stabilized and are thriving. The challenges have moved higher up the stack from data collection and storage to data analysis and its presentation to users. The focus for this year’s conference on analytics – the infrastructure that powers analytics and how analytics is done.
Talks will cover various forms of analytics including real-time and opportunity analytics, and technologies and models used for analyzing data.
Proposals will be reviewed using 5 criteria:
Domain diversity – proposals will be selected from different domains – medical, insurance, banking, online transactions, retail. If there is more than one proposal from a domain, the one which meets the editorial criteria will be chosen.
Novelty – what has been done beyond the obvious. Insights – what insights does the proposal share with the audience that they did not know earlier. Practical versus theoretical – we are looking for applied knowledge. If the proposal covers material that can be looked up online, it will not be considered.
Conceptual versus tools-centric – tell us why, not how. Tell the audience what was the philosophy underlying your use of an application, not how an application was used. Presentation skills – proposer’s presentation skills will be reviewed carefully and assistance provided to ensure that the material is communicated in the most precise and effective manner to the audience.
For queries about proposals / submissions, write to email@example.com
Data Collection and Transport – for e.g, Opendatatoolkit, Scribe, Kafka, RabbitMQ, etc.
Data Storage, Caching and Management – Distributed storage (such as Gluster, HDFS) or hardware-specific (such as SSD or memory) or databases (Postgresql, MySQL, Infobright) or caching/storage (Memcache, Cassandra, Redis, etc).
Data Processing, Querying and Analysis – Oozie, Azkaban, scikit-learn, Mahout, Impala, Hive, Tez, etc.
Big data and security
Big data and internet of things
Data Usage and BI (Business Intelligence) in different sectors.
Please note: the technology stacks mentioned above indicate latest technologies that will be of interest to the community. Talks should not be on the technologies per se, but how these have been used and implemented in various sectors, enterprises and contexts.
Building distributed search applications using Apache SOLR
The objective of this workshop is to introduce attendees with most common features of a search application and how to implement them using Apache Solr. The workshop will also cover how to scale the application by leveraging SolrCloud.
We will see the performance factors which should be kept in mind while desinging your application using Solr and if time permits, without going into ElasticSearch details, I will share the differences between Solr and ElasticSearch.
For the workshop, we will index and search data from ‘StackExchange’ sites using dumps available here and build backend for following demo application: saumitra.me/solrdemo/. (Tested only on Chrome and Firefox).
- What is Solr? Use cases and architecture
- Solr schema, config, tokenizers and filters
- Indexing data:
- From disk using SolrJ
- Importing from database(MySQL) with DataImport Handler
- Querying Solr (Filters, Faceting, highlighting, sorting, grouping, boosting, range, function and fuzzy queries)
- Adding ‘Auto Suggest’ component to auto complete user queries
- Using ‘Clustering’ component to cluster similar results.
- Setting up a multinode cluster with Zookeeper
- Creating a distributed index
- Collections API
- Solr Admin UI
Workshop will be delivered using a virtual image. You need to have VirtualBox installed to import the image. Download OS specific version of VirtualBox from https://www.virtualbox.org/wiki/Downloads.
Try to bring laptop with at least 4 GB RAM. Operating system MUST be 64 bit. Participant should have basic Java knowledge.
- Engineer at Glassbeam working on machine data search and analytics
- Organizer of Bangalore-Baby-Apache-Solr meetup group, where we organize sessions to help people get started with Solr
- Suggested Readings:
- Solr in 5 minutes - http://www.solrtutorial.com/solr-in-5-minutes.html
- Solr Features - https://lucene.apache.org/solr/features.html
- Apache Solr Reference Guide - https://cwiki.apache.org/confluence/display/solr/Apache+Solr+Reference+Guide
- Quick Solr Tutorial - https://lucene.apache.org/solr/4_8_1/tutorial.html
- Solr in 5 minutes - https://www.youtube.com/watch?v=ClhrrPzJWmI
- Scaling Solr with SolrCloud - https://www.youtube.com/watch?v=4VaRSDBhQ9s
- SolrCloud Architecture - https://www.youtube.com/watch?v=K6EC8iFDEuA
- Using Solr for Analytics - https://www.youtube.com/watch?v=_zITXp0xo5I
- Building a Real-time, Big Data Analytics Platform with Solr https://www.youtube.com/watch?v=PkoyCxBXAiA