About Big Data with Apache Hadoop and Solr:

Our online self-paced or classroom instructor training will help you to learn about this open source search application in the Big Data world. Our training will highlight the features of Solr like the full-text search, hit highlighting, near real-time indexing, faceted search, database integration, rich document handling, geospatial search and dynamic clustering.

Solr builds search applications in an open-source search platform. In Jan 2006, it was made an open-source project under Apache Software Foundation. Its latest version, Solr 6.0, was released in 2016 with support for execution of parallel SQL queries. Solr can be used along with Hadoop. In the big data world, Hadoop handles a large volume of data and Solr helps us in finding the required data from such a voluminous data. Not only search, Solr can also be used for storage purpose. Like other NoSQL databases, it is a non-relational data storage and processing technology. In simple terms, Solr is a search and storage engine of text-centric large volume data. It is scalable, ready to deploy, and highly optimized.

Our training will help you to expand your horizons in the field of big data and how Solr helps big data along with Hadoop. Our training will give adequate knowledge to take a deep dive into the ocean of Big data will all the necessary concepts.

Course overview:

Our training in Apache Solr will help you to learn how to solve search problems of Big Data, understand the concept of cloud and hoe Solr would fit into a cloud. Further our training course will help you to integrate search functionality into any web or mobile. You will become proficient in building your own search engine.

Our Training in Apache Solr is well designed to meet the industry standards. Our training program helps the candidates aspiring to become Solr Developers, Project Managers, Mainframe Professionals, System Administrators, Search Analysts, etc., will help you start your career in this domain in an efficient manner.

Pre-requisites:

Candidates who aspire to learn Apache Solr should have prior knowledge of Core Java and SQL

System requirement:

• Internet
• OS X, Windows or Linux

This course is most suited for candidates having prior knowledge about Hadoop and HBase as it would take their career to next level.

Course Content:

Fundamentals of Search Engine and Apache Lucene:

• Introduction to the search engine
• The Apache Lucene, understanding the inverted index, documents and fields & documents.
• Analyzers in Lucene
• Introduction to the various query types available in Lucene and clear understanding of these.

Big data fundamantals:

• What is Big data
• What Big Data problemsApache Solr solves

Cloud Computing fundamentals:

• What is Cloud Computing
• How does Solr fit into the cloud.

Fundamentals of Solr:

• Apache Solr Architecture
• Downloading and Installing Solr
• Solr basic Files
• Basic solr concepts
• Starting up Solr
• HTTP Requests and Responses with Solr
• Solr Admin UI

Exploring Apache Lucene:

• Understanding the prerequisites for using Apache Lucene
• Learning about the querying process, analyzers, scoring boosting, faceting, grouping, highlighting, the various types of geographical and spatial searches
• Introduction to Apache Tika.

Apache Lucene Demonstration:

• Demonstration of the Apache Lucene workings.
• Apache Lucene advanced
• Understanding the Analyzer, Query Parser in Apache Lucene, Query Object, Stopword.

Advance topics of Apache Lucene (practical):

Understanding the various aspects of Apache Lucene like Scoring, Boosting, Highlighting, Faceting and Grouping

Apache Solr:

• Introduction to Apache Solr
• The advantages of Apache Solr over Apache Lucene
• The basic system requirements for using Apache Solr
• Introduction to Cores in Apache Solr.

Apache Solr Indexing:

• Introduction to the Apache Solr indexing,
• Index using built-in data import handler and post tool,
• Understanding the Solrj Client and configuration of Solrj Client.
• Demonstrating the Book Store use cases with Solr Indexing with practical examples,
• Learning to build Schema,
• The field, field types
• CopyField and Dynamic Field,
• Understanding how to add, explore, update, and delete using Solr.

Apache Solr Searching:

• The various aspects of Apache Solr search like sorting, pagination
• An overview of the request parameters, faceting and highlighting.

Indexing Documents:

• Adding documents
• Commit and Optimize
• Deleting Documents
• Updating Document values

Querying Documents:

• Search Fundamentals
• Filter, Fields, Debug and Time Allowed 
• Understanding search components and request handlers in solrconfig.xml
• Parameter in depth
• Range searching
• Function Queries
• Faceting
• Highlighting
• Spell Checking
• Auto Suggester
• More like this
• Result grouping
• Spatial search, terms component, stats component and query elevation component

Deep dive into Apache Solr:

• Understanding the Request Handlers,
• Defining and mapping to search components,
• Highlighting and faceting,
• Updating managed schemas, request parameters hardwiring, adding fields to default search, the various types of Analyzers, Parsers, and Tokenizers.
• Grouping of results in Apache Solr,
• Parse queries functions, fuzzy query in Apache Solr.

Extended Features:

• The extended features in Apache Solr
• Learning about Pseudo-fields
• Pseudo-Joins, Spell Check, suggestions
• Geospatial Search, multi-language search, stop words and synonyms.

Multicore:

• Understanding the concept of Multicore in Solr,
• The creation of Multicore in Solr,
• The need of Multicore, Joining of data, Replication and Ping Handler.

Administration & SolrCloud:

• Understanding the SolrCloud
• The concept of Sharding, indexing, and replication in Apache SolrCloud
• The working of Apache SolrCloud, distributed requests, reading and writng slide fault tolerance, cluster coordination using Apache ZooKeeper.

Certification:

You will get Apache Solr Certification on successful completion of our course and clear the Exam. As a part of the training and certificate awards, you will be asked to work on real-time scenario projects and assignments which help you to work seamlessly when you enter into the real corporate world of big data.

Once you complete our training program successfully. The entire training course content is in line with respective certification programs and helps you to clear the requisite certification exams with ease and get the best jobs in the top MNCs.

Our certification helps you to:

• Gain an externally-recognized mark of excellence that clients seek
• Distinguish himself in a competitive marketplace
• Perform his responsibilities with sureness and talent

Job and placements:

Technology domain is thirsty for big data professionals with hands-on experience in Apache SORL technology. Therefore if you want to make your career in the big data world, learn Apache sorl technology and take a big step towards your success.

With the large volume of data generating each second, the requirement of big data professionals has also increased making it a dynamic field. Numerous technologies are competing with each other offering diverse features, from which Apache Solr is a trending one. Its ability to improve and speed up the search engine has made it the choice of top companies.

Not only the big ones but the medium and small-sized companies are improving their operations by implementing Solr in their architectures. Therefore the job opportunities are not limited to the top brands, but many other firms are offering attractive packages to professionals having a good grasp of this technology. Learning this technology will give a definitive advantage in your career.

The median salaries for Apache solr:

Software engineer: 88,242

Senior software engineer: 118000

Lead software engineer: 100000

Software architect: 126,719