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I am an experienced, qualified teacher and tutor with over 12 years of experience in teaching Python, C, C++, R, HTML, CSS, JAVASCRIPT, DATA SCIENCE, SQL, MYSQL, Web Development in PHP, Python. I also teach math and science of student from standard 1 to 10 across different boards including CBSE, ICSE, IGCSE and State Board(Gujarat). Passionate about solving mathematical problems and teaching coding languages, over the years I have helped thousands of students overcome their fear of Maths and Coding. So far, I have worked as an Assistant Professor in BCA College (VADODARA) and also in Bright Education Vadodara.
I am an experienced, qualified teacher and tutor with over 12 years of experience in teaching Python, C, C++, R, HTML, CSS, JAVASCRIPT, DATA SCIENCE, SQL, MYSQL, Web Development in PHP, Python. I also teach math and science of student from standard 1 to 10 across different boards including CBSE, ICSE, IGCSE and State Board(Gujarat). Passionate about solving mathematical problems and teaching coding languages, over the years I have helped thousands of students overcome their fear of Maths and Coding. So far, I have worked as an Assistant Professor in BCA College (VADODARA) and also in Bright Education Vadodara.
Cognixia, formerly known as Collabera TACT, is a Collabera learning solutions company. Cognixia is one of the most awarded Digital Technology Training Companies, we bring you the best quality technology courses and certifications. Since 2014, we have trained and up-skilled over 100,000 people across 37 countries. With 1300+ experienced trainers, 250+ courses, state-of-the-art infrastructure, we bring you the best learning experience. Cognixia now brings the IELTS Training Experience to you. Learning for any course without its foundation, or course structure is next to impossible. While just with the help of practice tests it's more difficult as one is completely unaware of the format, content, course structure and how it works. The same is applicable to IELTS Coaching around the world. Connect Today and Join the World's Most Trusted Training Company!
Cognixia, formerly known as Collabera TACT, is a Collabera learning solutions company. Cognixia is one of the most awarded Digital Technology Training Companies, we bring you the best quality technology courses and certifications. Since 2014, we have trained and up-skilled over 100,000 people across 37 countries. With 1300+ experienced trainers, 250+ courses, state-of-the-art infrastructure, we bring you the best learning experience. Cognixia now brings the IELTS Training Experience to you. Learning for any course without its foundation, or course structure is next to impossible. While just with the help of practice tests it's more difficult as one is completely unaware of the format, content, course structure and how it works. The same is applicable to IELTS Coaching around the world. Connect Today and Join the World's Most Trusted Training Company!
Conduct training in Big data,Hadoop,Hive,Pig Sqoop etc
Conduct training in Big data,Hadoop,Hive,Pig Sqoop etc
Big Data Architect Syllabus Overview A rigorous 126 hours of training would be given to the candidates in this program, wherein they would be made to study the following five major modules and significant case studies at the end of the program. Java Essentials: Under this module candidates will be learning about OOPS concepts, core and advance JAVA, Servlets and JSP Technology. Big Data Hadoop Developer Program This program is designed to educate candidates about Linux and Big Data Virtual Machine (VM). Candidates would be taught about the Hadoop Distributed File System (HDFS), its interface, features and its application in fault tolerance. Overview of MapReduce (Theory and Practical), Hadoop Streaming (developing and debugging non-Java MR programs – Ruby and Python), BSP (Bulk Synchronous Parallel) – An alternative to MapReduce and higher level abstractions for MapReduce (Pig and Hive) are other interesting topics they would be learning under this module. In the case studies, candidates will be using PIG, HBase, HIVE, and MapReduce to perform the Big Data analytics learnt in the course. First Case Study being about Twitter Analysis and the other one on Click-Stream Analysis would give a complete understanding of some interesting data analysis facts and concepts. MongoDB In this module, candidates will get an understanding of MongoDB, its installation, advantages, syntaxes and queries. They will gain an understanding of how NoSQL suits Big Data needs. Apart from this, it will also cover CRUD concepts, MongoDB security and MongoDB Administration activities. Hands-on Mongo DB project shows how to work with the MongoDB Java Driver and to use MongoDB as a Java Developer. Scala Programming: Like Java, Scala is an object-oriented programming language, and this module has been designed to impart an in-depth knowledge of programming in Scala. The module is based on 60:40 ratio; 60% practical sessions and 40% theory classes. Candidates will learn about functional programming principles, exception handling and XML manipulating in Scala. Apache Spark and Scala Development Program The objective of this program is to deliver a clear understanding of Apache Spark & Scala concepts. It will provide an overview of Hadoop ecosystem, Hive, GraphX and Spark Machine Learning libraries (spark MLlib). Candidates will also learn Spark RDD and how to write and deploy Spark applications. Each of the modules would be followed by the practical assignments that are to be completed before the commencement of next class to ensure candidates learn properly and clear all their doubts before moving ahead.
Big Data Architect Syllabus Overview A rigorous 126 hours of training would be given to the candidates in this program, wherein they would be made to study the following five major modules and significant case studies at the end of the program. Java Essentials: Under this module candidates will be learning about OOPS concepts, core and advance JAVA, Servlets and JSP Technology. Big Data Hadoop Developer Program This program is designed to educate candidates about Linux and Big Data Virtual Machine (VM). Candidates would be taught about the Hadoop Distributed File System (HDFS), its interface, features and its application in fault tolerance. Overview of MapReduce (Theory and Practical), Hadoop Streaming (developing and debugging non-Java MR programs – Ruby and Python), BSP (Bulk Synchronous Parallel) – An alternative to MapReduce and higher level abstractions for MapReduce (Pig and Hive) are other interesting topics they would be learning under this module. In the case studies, candidates will be using PIG, HBase, HIVE, and MapReduce to perform the Big Data analytics learnt in the course. First Case Study being about Twitter Analysis and the other one on Click-Stream Analysis would give a complete understanding of some interesting data analysis facts and concepts. MongoDB In this module, candidates will get an understanding of MongoDB, its installation, advantages, syntaxes and queries. They will gain an understanding of how NoSQL suits Big Data needs. Apart from this, it will also cover CRUD concepts, MongoDB security and MongoDB Administration activities. Hands-on Mongo DB project shows how to work with the MongoDB Java Driver and to use MongoDB as a Java Developer. Scala Programming: Like Java, Scala is an object-oriented programming language, and this module has been designed to impart an in-depth knowledge of programming in Scala. The module is based on 60:40 ratio; 60% practical sessions and 40% theory classes. Candidates will learn about functional programming principles, exception handling and XML manipulating in Scala. Apache Spark and Scala Development Program The objective of this program is to deliver a clear understanding of Apache Spark & Scala concepts. It will provide an overview of Hadoop ecosystem, Hive, GraphX and Spark Machine Learning libraries (spark MLlib). Candidates will also learn Spark RDD and how to write and deploy Spark applications. Each of the modules would be followed by the practical assignments that are to be completed before the commencement of next class to ensure candidates learn properly and clear all their doubts before moving ahead.
IT Professional with 7.5 Years of experience in Big Data Technologies Hadoop,Apache Spark,Hive,scoop,Cloud Technologies ,Amazon Web Service, Pivotal Cloud Foundry, Core Java, J2ee, spring MVC, hibernate, JavaScript, Jquery, JSON , Jasper Report, Html ,Jqgrid & Apache Tomcat Server, Github, Tortoise Svn. exclusive experience in Hadoop and its components like HDFS, Map Reduce, HIVE, Spark, OOZIE. Used Spark API over MapR Hadoop YARN to perform analytics on data in Hive. Good knowledge on building Spark Job using Spark Context, Spark-SQL, Data Frames and RDD's. Experienced in handling large datasets using Partitions, Spark in Memory capabilities, Broadcasts in Spark, Effective & efficient Joins, Transformations and other during ingestion process itself Good understanding of Parallel Processing and Distributed Computing and its applicability in todays world Good working knowledge on Map Reduce, Apache PIG and HIVE. Experienced on working with unstructured data and structured data on a Hadoop Distributed File System (HDFS). Having good working experience on AWS components like EC2,Bean Stalk,RDS,S3,Code Commit, Code Deploy , AWS EMR,IAM. Having my own YouTube Channel containing my own recorded videos on Cloud technologies. I am a Certified Pivotal Cloud Foundry Developer(PCF Certified) I am a Certified Oracle Java Programmer. I am having experience of creating multi node cluster on Google Cloud Platform and executing spark- jobs on the cloud. Experience with object oriented development in Core Java 8 using Lambda Expressions, Stream API and parallel processing. Experience with various web applications using MVC pattern in Spring, Hibernate frameworks Knowledge and understanding of open source Java Script libraries like Ajax, JSON Developed, designed, tested and deployed new functionalities as part of Product Research and Development (P R&D) team. Experience of working in the complete Software development life cycle involving development, documentation, testing and maintenance with Agile, waterfall methodology.
IT Professional with 7.5 Years of experience in Big Data Technologies Hadoop,Apache Spark,Hive,scoop,Cloud Technologies ,Amazon Web Service, Pivotal Cloud Foundry, Core Java, J2ee, spring MVC, hibernate, JavaScript, Jquery, JSON , Jasper Report, Html ,Jqgrid & Apache Tomcat Server, Github, Tortoise Svn. exclusive experience in Hadoop and its components like HDFS, Map Reduce, HIVE, Spark, OOZIE. Used Spark API over MapR Hadoop YARN to perform analytics on data in Hive. Good knowledge on building Spark Job using Spark Context, Spark-SQL, Data Frames and RDD's. Experienced in handling large datasets using Partitions, Spark in Memory capabilities, Broadcasts in Spark, Effective & efficient Joins, Transformations and other during ingestion process itself Good understanding of Parallel Processing and Distributed Computing and its applicability in todays world Good working knowledge on Map Reduce, Apache PIG and HIVE. Experienced on working with unstructured data and structured data on a Hadoop Distributed File System (HDFS). Having good working experience on AWS components like EC2,Bean Stalk,RDS,S3,Code Commit, Code Deploy , AWS EMR,IAM. Having my own YouTube Channel containing my own recorded videos on Cloud technologies. I am a Certified Pivotal Cloud Foundry Developer(PCF Certified) I am a Certified Oracle Java Programmer. I am having experience of creating multi node cluster on Google Cloud Platform and executing spark- jobs on the cloud. Experience with object oriented development in Core Java 8 using Lambda Expressions, Stream API and parallel processing. Experience with various web applications using MVC pattern in Spring, Hibernate frameworks Knowledge and understanding of open source Java Script libraries like Ajax, JSON Developed, designed, tested and deployed new functionalities as part of Product Research and Development (P R&D) team. Experience of working in the complete Software development life cycle involving development, documentation, testing and maintenance with Agile, waterfall methodology.
Collabera TACT Technology Academy for Competency Training is an initiative started by Collabera, a $600 mn U.S. based IT Staff Augmentation Company. It aims at providing training to qualifying professionals and students on emerging technologies like Big Data, Analytics, Cloud, Mobility, Digital Marketing and many more. It has been established to bridge the demand-supply gap of professionals on SMAC technologies and aims at upgrading individuals skills and making them future-ready for jobs that will require them to be well versed with the emerging technologies.
Collabera TACT Technology Academy for Competency Training is an initiative started by Collabera, a $600 mn U.S. based IT Staff Augmentation Company. It aims at providing training to qualifying professionals and students on emerging technologies like Big Data, Analytics, Cloud, Mobility, Digital Marketing and many more. It has been established to bridge the demand-supply gap of professionals on SMAC technologies and aims at upgrading individuals skills and making them future-ready for jobs that will require them to be well versed with the emerging technologies.
I have completed my masters degree in Big Data Analysis and than I worked with a learning institution as a Mathematics teacher and my key skills are Python, R and machine learning algorithms.
I have completed my masters degree in Big Data Analysis and than I worked with a learning institution as a Mathematics teacher and my key skills are Python, R and machine learning algorithms.
we provide live online instructor lead trainning for emerging technologies and also provide placement assistance to our 1600 fortune clents
we provide live online instructor lead trainning for emerging technologies and also provide placement assistance to our 1600 fortune clents
Iiht vadodara provides .Net Training , Big Data Training , Java Training Classes and Cloud Computing Classes.
Iiht vadodara provides .Net Training , Big Data Training , Java Training Classes and Cloud Computing Classes.
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Find the best Big Data Tutor Training
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Create Free Profile >>Big data can be defined as the collection of exceedingly huge sets of data customarily analysed computationally to divulge patterns, associations, trends etc., that are related to human behaviour and interactions.
Big data and related technologies are important because they lead to smarter and efficient business moves, happy customers and higher profits. It helps in cost reduction, also in better and faster decision making.
Currently, Big Data is influencing the IT industry and is helping the companies in better decision making and being competent. In recent times, Big Data technology offers one of the most rewarding careers.
There are numerous Big Data coaching classes across Vadodara. The course fee for Big Data classes depends on the duration of the course, the experience of the trainer and many other factors.
Numerous renowned institutes and academies provide quality Big Data training in Vadodara. UrbanPro has listed some of the best Big Data trainers to choose from.
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