Teradata is one of the database technologies to deal with large volumes of data to provide business analytics solutions, hybrid cloud solutions, ecosystem architecture, data analytics and many more complex data requirements. Operation excellence, Finance transformation, Asset optimization, High impact data insights are some main reasons to choose Teradata as the data solution. Banking Industries, Telecom, Airlines, Transportation and Manufacturing industries and Healthcare companies are some areas where Teradata is implemented to deal with large volumes of data.

I took Teradata fast track training from Training in Bangalore. My sessions were entirely handled as one on one Teradata training. As my trainer is the most experienced professional, I could able to grasp more knowledge from him. Even though that is fast track, my tutor covered all the topics in clean and clear manner. TIB Management and my trainer were flexible with the time convenience factors. It is one of the comfortable learning environments in Bangalore which I found. – Arvind Jones (TCS)

Tell Me more about Teradata :

• As Teradata is a document DB, it stores the records as documents. A document is basically composed with field – value pairs where the values can be other documents or arrays or arrays of documents.
• They are always similar to the JSON (JavaScript Object Notation) objects. So the documents can be also called as objects.
• Availability of in-built documents and arrays reduces the need of expensive joins. Its dynamic schema supports fluent polymorphism.
• MongoDB also provides pluggable storage engine API. So it allows even third parties to build the MongoDB storage engines.
• Dynamic schemas, Replication, Auto Sharding and Integrated Caching are some of the astounding benefits of MongoDB.  Big Data Hadoop and MongoDB go well together. MongoDB can be hosted in the Cloud.It also goes well with AngularJS, NodeJS and the developer is called as MEAN STACK developer. Please check below for a detailed MongoDB course syllabus.

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Are there any prerequisites for MongoDB?

• Basic knowledge on RDBMS, bigdata concepts
• Basic knowledge on Java and JavaScript
• If you are already familiar with the above, this course will be quite easy for you to grasp the concepts. Otherwise, we are here to help you with the concepts of MongoDB from the basics.

Can you help me about MongoDB Job Opportunities?

• MongoDB is especially suitable for the people, who are already having key skills on Java, JavaScript, JSON, Big data terminologies, Linux, MySQL and RDBMS concepts. In the current IT market, there are plenty of opportunities for the experienced professionals who are aware of the above technologies.
• If you are a fresher or newbie to MongoDB, then you need proper training and real time experience in RDBMS for at-least 2 years. That will make you confident to find MongoDB opportunities easily.
• Refer naukri for designations.

In Bangalore, comparing to other training institutes, we are the NO.1 MongoDB training institute in Marathahalli where you can expose yourself into the differentiated learning environment.

What is special about the MongoDB training in TIB Academy?

• We have top and experienced industrial professionals as our trainers; they are working in top rated MNCs and Corporates with years of real time experience. So they can surely boost you to become the best MongoDB developer.
• As our trainers are all currently working, our MongoDB training program will be usually scheduled during weekdays early mornings between 7AM to 10AM , weekdays late evenings between 7PM to 9.30PM and flexible timings in weekends. We provide MongoDB classroom training, MongoDB online training and MongoDB weekend training based upon the students’ time convenience. This training will make you to feel like obtaining the best MongoDB training in Marathahalli with moderate course fees.
• Our placement support throughout the course will help you to enhance your interpersonal skills and confidence. Our links to the job world will surely help you to achieve your dream job. So start putting your sincere efforts into practice and grab the wonderful opportunities.

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Intro to MongoDB

CRUD, ADMIN COMMANDS

• Insertion
• Update
• save() Command
• Partial Updates & Document Limits
• Removing Documents
• Multi Update
• Upsert
• Wire Protocol
• Bulk() Operations and Methods
• Common Commands
• db.runCommand()
• db.isMaster()
• db.serverStatus()
• currentOp() & db.killOp()
• stats() & collection.drop()
• Review of Commands

Storage Engine

• Introduction
• Storage Engine: WiredTiger
• createIndex(), getIndexes() & dropIndex()
• Collection Scans
• Index Notes
• Unique Indexes
• Sparse Indexes
• TTL Indexes
• Geospatial Indexes
• Text Indexes
• Background Index Creation
• Explain Plans
• Covered Queries
• Read & Write Recap
• currentOp() & killOp()
• The Profiler
• mongostat and mongotop

Replication Overview

• Asynchronous Replication
• Statement-based vs. Binary Replication
• Replication Concepts
• Automatic Failover
• Recovery
• Starting Replica Sets
• Initiating a Replica
• Replica Set Status
• Replica Set Commands
• Reading & Writing
• Failover
• Read Preference
• Read Preference Options