Data Science / DBMS Big Data & Hadoop Courses in Pune

Course Details

*Most suitable for Managers, Business Leaders, CTO, Team Leaders, Quality Analyst, Software Testers, Business Analyst, Subject Matter Experts, Domain Experts from Mechanical, Electrical, Finance, Banking, Hospitality, Healthcare, Manufacturing, SCM, CRM, Sales, Marketing, etc. *No Technical Background Required. Diploma in Business & Data Analytics(with Internship) is designed for Subject Matter Experts to upgrade, understand, apply Data Science & AI emerging technologies in there respective domains.  -Discover various ways of analyzing and visualizing your organization’s data with dashboards -Learn about exciting topics included in machine learning, such as clustering, time series prediction, natural language processing, deep learning, and explainable AI -Cover the essential concepts of data science, such as data science workflow, and how data can be applied to real-world business problems Program Structure Statistics  Excel SQL Mongo DB Tableau  Power BI Python/R Data Visualization Machine Learning 15 Projects Internship – 3 months (Internal/Tie-ups) *Note: Separate batch & additional 1 month extra sessions for NON-IT Professionals to build strong programming skills from scratch.

Course Details

Diploma in Full Stack Data Science & Artificial Intelligence is designed for the people who wish to expand their proficiency in Data Science and grab career opportunities as Data Scientist/Data Analyst/Statistics Consultants/Business Analyst. Program Structure Python – Basic & Advanced Sql & No SQL – MongoDB Machine Learning Deep Learning Computer Vision NLP Data Science – Advanced Tableau Big Data – Hadoop & Spark (Python track) 15 Projects Internship – 3 months (Internal/Tie-ups) *Note: Separate batch & additional 1 month extra sessions for NON-IT Professionals to build strong programming skills from scratch.

Course Details

One of the Best Institute For Data Science Training in Mumbai and Pune In today’s digital world data is everything. From the corporate giants to the government organizations, all are relying on data to drive their actions. However, regardless of the size and authenticity of the data, if it is not utilized correctly, it is as significant as in stone age. And here comes the need for a skilled data scientist who can truly understand the value of data and use to achieve the desired outcome. It is the fact that the demand for an individual who has knowledge-based data science training is high from the very beginning of his or her career. At Techdata Solutions we provide complete online and classroom training for data science as well as other courses including Artificial Intelligence training, machine learning, SAS training, and more that ensure flourishing careers for the students.

Course Details

Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera's CCA175 Big data certification. This training course provides you the knowledge and skills to become a successful Hadoop Developer.

Course Details

Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera's CCA175 Big data certification. This training course provides you the knowledge and skills to become a successful Hadoop Developer.

Course Details

Our trainers and coaches are experts in their areas and aim to bridge the gap between education and business by delivering work-based learning through intensive workshops, real examples and work-out sessions. Our approach to training is simple – provide training that is relevant, timely, convenient, and cost-effective. Our goal is to ensure that you maximize the return on your training investment.

Course Details

Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs. Why Choose Us? Industry Experts as Trainers Best Training Facilities, Guidelines, Notes etc Live project Exposure keeps our students happy and stand out unique in competition Student's Friendly Atmosphere etc

Course Details

Hadoop is an open-source data management software framework for storage and large-scale processing of data-sets on clusters of commodity hardware. A Hadoop cluster is a special type of computational cluster designed specifically for storing and analyzing huge amounts of the redundant data structure in a distributed computing environment.

 

The training course is framed to provide you basic & advance knowledge to become a successful Big Data & Hadoop Developer, data analysts, and administrators. Fresher’s & Experienced professionals can make a career in Big Data Analytics using Hadoop Framework. We offer a comprehensive course which contains most commonly used Hadoop methodologies so that candidate will be completely equipped to enter the industry & get complete knowledge of Hadoop.

Course Details

Features:
Hadoop Developer with Spark certification will let students create robust data processing applications using Apache Hadoop. After completing this course, students will be able to comprehend workflow execution and working with APIs by executing joins and writing MapReduce code. This course will offer the most excellent practice environment for the real-world issues faced by Hadoop developers. With Big Data being the buzzword, Hadoop certification and skills are being sought by companies all across the globe. Big Data Analytics is the priority for many large organizations, and it helps them improve performance. Therefore, professionals with Big Data Hadoop expertise are required by the industry at large.
Intended Audience:
This Hadoop training is best suited to developers and engineers who have programming experience with basic Familiarity of SQL and Linux commands.
Prerequisites:
This course is best suited to developers and engineers who have programming experience. Knowledge of Java is strongly recommended and is required to complete the hands-on exercises

Course Details

Features:
Data science is a “concept to unify statistics, data analysis and their related methods” to “understand and analyze actual phenomena” with data. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science from the sub domains of machine learning, classification, cluster analysis, data mining, databases, and visualization. The Data Science Certification Training enables you to gain knowledge of the entire Life Cycle of Data Science, analyzing and visualizing different data sets, different Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes.
Audience:
This course is intended for Solutions Architects and Solution Design Engineers who wish to learn how to design and implement IT infrastructure solutions on Amazon Web Services platform.
Prerequisites:
There is no specific pr-requisite for the course.

Course Details

Our Big Data, Data Science Master program lets you gain proficiency in Big Data & Data Science. You will work on real world projects in Hadoop development, administration, testing, analyst, HDFS, MapReduce, Hive, Pig, Spark, Storm, Scala, Data analytics, Splunk, NoSQL databases, and more.

Course Details

3RI Technologies is providing the Best Hadoop Training in Pune. Our main focus is to deliver the quality trainings to students and to make them employable. Our Hadoop Training Course is designed by Industry experts keeping in mind the current industry scenario and the expectations from the candidates. 3RI Technologies has a team of expert industry professionals having more than 12 years of experience who deliver trainings for our students. We are listed as one of the best hadoop training institutes in Pune due to our teaching methodology, our course and trainers. Hadoop is an Apache open source framework written in java that allows distributed processing of large datasets across clusters of computers using simple programming models. Hadoop is designed to scale up from single server to thousands of machines, each offering local computation and storage. Hadoop is becoming the most dominant data analytics platform today with increasing number of big data companies tapping into the technology for storing huge amount of data. According to a McKinsey study, it is estimated that in the United States alone, there will be a shortage of Big Data and Hadoop talent by 1.9k people. The demand for quality Hadoop developers will exceed supply by 60%. Our training course in depth knowledge on Hadoop Ecosystem which includes HDFS, HBase, Pig ,Hive, MapReduce,Flume,OOzie,Sqoop,Scala,Impala and Spark. It also includes the real time Hadoop Training project scenarios which helps candidates to gain more insights about the course and helps them during the interviews. With a dedicated placement cell, we provide ample amount of placement opportunities to the students and make sure they get placed after the course completion. Training Highlights/Course Features  100 % Placement Assistance · Hands on expertise on Big Data & Analytics · Experience professional with 12+ years of Industry Experience. Resume Preparation · Interview Preparation · Missed Sessions Covered · Multiple Flexible Batches · Live Project Work/Assignments ·   Practice Course Material Prerequisites · No specific programming background needed.

Course Details

Hi Students! Greetings from Epitome IT Coaching. The course on teradata would prepare you not only to be a ETL tester but would be focussed on Teradata V13 Certification program which makes you a hot cake for the job market. Please visit below link for details: http://epitomeitcoaching.weebly.com/teradata/teradata-architecture-and-utilities  

Course Details

Big Data and Hadoop Trainingis available here. Complete training based on practicals is conducted by the highly experienced faculties of our institute. Ample amount of supportive course materials are provided to each of the student for study purpose. Evevry aspect of the course is covered during the training.

Course Details

To manage large amount of data effectively big data is the new answer. On successfull completion of the programme one will be able to Integrate Big Data components to create the right Data Lake, Select the correct Big Data stores for disparate data sets, Process large data sets using Hadoop to extract value, Query large data sets in near real time with Pig and Hive, Plan and implement a Big Data strategy for your organization etc.

Course Details

Hadoop is the core platform for structuring Big Data and solves the problem of formatting it for subsequent analytics purposes. Knowledge of Core Java is desirable in this course. We have designed this programme to enable the students in Mastering the concepts of HDFS and MapReduce framework, Understand Hadoop 2.x Architecture, Setup Hadoop Cluster and write Complex MapReduce programs, learn the data loading techniques using Sqoop and Flume, Perform Data Analytics using Pig, Hive and YARN, Implement HBase and MapReduce Integration, Implement Advanced Usage and Indexing, Schedule jobs using Oozie, Implement best Practices for Hadoop Development, Work on a Real Life Project on Big Data Analytics etc.

Course Details

Dealing with large amount of data entails learning on areas like that of the following: Introduction to Big Data Defining Big Data The four dimensions of Big Data: volume, velocity, variety, veracity Introducing the Storage, MapReduce and Query Stack Delivering business benefit from Big Data Establishing the business importance of Big Data Addressing the challenge of extracting useful data Integrating Big Data with traditional data

Course Details

Hadoop is the core platform for structuring Big Data and solves the problem of formatting it for subsequent analytics purposes. Knowledge of Core Java is desirable in this course. We have designed this programme to enable the students in Mastering the concepts of HDFS and MapReduce framework, Understand Hadoop 2.x Architecture, Setup Hadoop Cluster and write Complex MapReduce programs, learn the data loading techniques using Sqoop and Flume, Perform Data Analytics using Pig, Hive and YARN, Implement HBase and MapReduce Integration, Implement Advanced Usage and Indexing, Schedule jobs using Oozie, Implement best Practices for Hadoop Development, Work on a Real Life Project on Big Data Analytics etc.

Course Details

We are established to serve our clients with best of education. Our intensive coaching program is dealt with diligence and support for superior leaning. The course contents are:

Introduction to Pig

• What Is Pig?
• Pig’s Features
• Pig Use Cases
• Interacting with Pig

Basic Data Analysis with Pig

• Pig Latin Syntax
• Loading Data
• Simple Data Types
• Field Definitions
• Data Output
• Viewing the Schema
• Filtering and Sorting Data   
• Commonly-Used Functions

Processing Complex Data with Pig

• Storage Formats
• Complex/Nested Data Types
• Grouping
• Built-In Functions for Complex Data
• Iterating Grouped Data

Multi-Dataset Operations with Pig

• Techniques for Combining Data Sets
• Joining Data Sets in Pig
• Set Operations
• Splitting Data Sets

Pig Troubleshooting and Optimization

• Troubleshooting Pig
• Logging
• Using Hadoop’s Web UI
• Data Sampling and Debugging
• Performance Overview
• Understanding the Execution Plan
• Tips for Improving the Performance of Your
• Pig Jobs

 

Introduction to Hive and Impala

• What Is Hive?
• What Is Impala?
• Schema and Data Storage
• Comparing Hive to Traditional Databases
• Hive Use Cases?

Querying with Hive and Impala

• Databases and Tables
• Basic Hive and Impala Query Language
• Syntax
• Data Types
• Differences Between Hive and Impala Query
• Syntax
• Using Hue to Execute Queries
• Using the Impala Shell
• Data Management

Data Storage

• Creating Databases and Tables
• Loading Data
• Altering Databases and Tables
• Simplifying Queries with Views
• Storing Query Results

Data Storage and Performance

• Partitioning Tables
• Choosing a File Format
• Managing Metadata
• Controlling Access to Data     
• Relational Data Analysis with Hive and Impala
• Joining Datasets
• Common Built-In Functions
• Aggregation and Windowing

Working with Impala

• How Impala Executes Queries
• Extending Impala with User-Defined
• Functions
• Improving Impala Performance
• Analyzing Text and Complex Data with Hive
• Complex Values in Hive
• Using Regular Expressions in Hive
• Sentiment Analysis and N-Grams
• Conclusion
• Hive Optimization
• Understanding Query Performance
• Controlling Job Execution Plan
• Bucketing
• Indexing Data
• Extending Hive
• SerDes
• Data Transformation with Custom Scripts
• User-Defined Functions
• Parameterized Queries
• Choosing the Best Tool for the Job
• Comparing MapReduce, Pig, Hive, Impala, and
• Relational Databases
• Which to Choose?

Course Details

We are a premium IT solutions organization, servicing client with comprehensive learning and contribute in developing students' self-efficacy. We offer advanced learning process. The course contents are:

• The internals of YARN, MapReduce, and HDFS
• Determining the correct hardware and infrastructure for your cluster
• Proper cluster configuration and deployment to integrate with the data center
• Build Multi node cluster
• How to load data into the cluster from dynamically-generated files using Flume and from RDBMS using Sqoop
• Configuring the FairScheduler to provide service-level agreements for multiple users of a cluster
• Best practices for preparing and maintaining Apache Hadoop in production
• Troubleshooting, diagnosing, tuning, and solving Hadoop issues
• Cloudera certification preparation

Course Details

We offer value based learning for the training program that has been designed and the course contents are listed below:

Writing a MapReduce Program

• The MapReduce Flow
• Basic MapReduce API Concepts
• Writing MapReduce Drivers, Mappers and Reducers in Java
• Writing Mappers and Reducers in Other Languages Using the Streaming API
• Speeding Up Hadoop Development by Using Eclipse
• Demo: Writing a MapReduce Program
• Differences Between the Old and New MapReduce APIs

Unit Testing MapReduce Programs

• Unit Testing
• The JUnit and MRUnit Testing Frameworks
• Writing Unit Tests with MRUnit
• Demo: Writing Unit Tests with the MRUnit Framework
• Delving Deeper into the Hadoop API
• Using the ToolRunner Class
• Decreasing the Amount of Intermediate Data with Combiners
• Demo: Writing and Implementing a Combiner
• Setting Up and Tearing Down Mappers and Reducers by Using the Configure and Close Methods

Writing Custom Partitioners for Better Load Balancing

• Demo: Writing a Partitioner
• Accessing HDFS Programmatically
• Using The Distributed Cache
• Using the Hadoop API’s Library of Mappers, Reducers and Partitioners

Practical Development Tips and Techniques

• Strategies for Debugging MapReduce Code
• Testing MapReduce Code Locally by Using LocalJobReducer
• Writing and Viewing Log Files
• Retrieving Job Information with Counters
• Determining the Optimal Number of Reducers for a Job
• Creating Map-Only MapReduce Jobs
• Demo: Using Counters and a Map-Only Job

Data Input and Output

• Creating Custom Writable and WritableComparable Implementations
• Saving Binary Data Using SequenceFile and Avro Data Files
• Implementing Custom Input Formats and Output Formats
• Issues to Consider When Using File Compression
• Demo: Using SequenceFiles

Common MapReduce Algorithms

• Sorting and Searching Large Data Sets
• Performing a Secondary Sort
• Indexing Data
• Demo: Creating an Inverted Index
• Computing Term Frequency — Inverse Document Frequency
• Calculating Word Co-Occurrence
• Joining Data Sets in MapReduce Jobs
• Writing a Map-Side Join
• Writing a Reduce-Side Join
• Machine Learning and Mahout
• Introduction to Machine Learning
• Using Mahout
• Demo: Using a Mahout Recommender

Course Details

Hadoop foundation classes are done at STLSOFT. The course is structured in a detailed manner and the course contents are as follows:

The Motivation for Hadoop

• Problems with Traditional Large-Scale Systems
• Requirements for a New Approach
• Introducing Hadoop

Hadoop: Basic Concepts

• The Hadoop Project and Hadoop Components
• The Hadoop Distributed File System

Demo: Using HDFS

• How MapReduce Works
• Demo: Running a MapReduce Job
• How a Hadoop Cluster Operates
• Other Hadoop Ecosystem Projects

An Introduction to Hive and Pig

• The Motivation for Hive and Pig
• Hive Basics
• Introducing Hadoop

Demo: Manipulating Data with Hive

• Pig Basics
• An Introduction to Oozie
• Introduction to Oozie
• Creating Oozie Workflows

Demo: Running an Oozie Workflow

• Integrating Hadoop into the Enterprise Workflow
• Loading Data from an RDBMS into HDFS by Using Sqoop
• Demo: Importing Data with Sqoop 

Course Details

The comprehensive training program for Big Data is designed to develop students' self-efficacy and building confidence in advance learning process. The specifications for the program are listed as under:

• Academic discussions.
• Caring tutors.
• One-to-one tuition.
• Comprehensive training programs.
• State of art infrastructure.

Course Details

We provide Hadoop training classes to our clients at affordable rate. Our highly qualified and reputed professional assist our students with proper guidance and the specialities that enriches the program are:

• Pupil-centered approach.
• Updated study material.
• Wonderful learning environment.
• Dealt with diligence.
• Actualizing each student’s potential.

Course Details

We provide Big Data Hadoop training classes to our clients at affordable rate. Our highly qualified and reputed professional assist our students with individual care. The specifications for the program are:

• Understanding and modifying code.
• Updated study material.
• Wonderful learning environment.
• Dealt with diligence.
• Professional evaluation.