big data training

 54 hours of instructor-led training.

 Big data can be used to improve training and understanding competitors.

 Big Data designed by best academia and Industry Experts.

 Hands-on Learning in Big Data

Classroom Training

✔ Classroom training is considered the most effective form of learning.
✔ Develops important personality and career building skills.
✔ Technology-Based Learning. Common methods of learning via technology include.

Campus Training

✔ Online assessment program during campus placement.
✔ Campus learning is a premium option for campus instruction
✔ 24*7 learning assistance and support

Corporate House Training

✔ Flexible pricing options
✔ Enterprise grade Learning Management System (LMS)
✔ Enterprise dashboards for individuals and teams
✔ 24×7 learner assistance and support

Interactive Workshop

✔ A workshop is a great way for someone to learn about a particular subject.
✔ Workshop are usually longer often 1 to 2 days
✔ Seminars are usually 90 minutes to 3 hours
✔ A training workshop is a type of interactive training

Online Training

✔ Online training is effective for training across multiple locations.
✔ 24×7 learner assistance and support.
✔ Amirit Techservices online course platform is one of the most well-known sources of education via the internet.

Big Data Engineer Training


1. Introduction

● Big Data Overview
● What is Big Data Analytics
● Necessity for Big Data Analytics
● Role of a Data Analyst
● What is Data Science
● Necessity for Data Science
● Role of Data Scientist

2. Use Cases

3. Data Analytics Proces

4. Data Preparation

● Planning
● Data Collection
● Data Selection

5. Tools for Data Preparation

6. Data Preparation – Import/Export

7. PreProcessing

● Data Cleaning
● Data Filtering
● Data Completion
● Data Correction
● Data Standardization
● Data Transformation
● Tools for Data PreProcessing
● Data Preprocessing using Pig
● Writing Pig Latin scripts and processing data
● Data Preprocessing using Hive
● Writing Hive Scripts and processing data
● Hands on Exercise : Pig and Hive

8. Data Analysis Introduction

9. Recommendation

10. Classification

11. Data Visualization using R

1. What is big data certification?

2. Which certification is best for big data?

1. What are the key properties of big data?

2. What are big data tools?

3. What database is used for big data?

4. What is big data with examples?

5. Is SQL good for big data?