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BigQuery Online Training

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100% Job Guarantee | Minimum CTC: ₹ 6.5 LPA

This Google BigQuery training is considered engineer-level Google training, which means it was designed for cloud engineers. This BigQuery skills course is designed for cloud engineers with three to five years of experience with GCP services. So we thought we would post links to the online training material we find as we explore Google BigQuery and GCPin general, with the hope it will help you explore it faster in the future.

Preview Course Video
 
  • 40+ Hrs Hands On Training
  • 2 Live Projects For Hands-On Learning
  • 50 Hrs Practical Assignments
  • 24/7 Students

Online Classroom Batches Preferred

22- Apr- 2024
Monday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

17- Apr- 2024
Wednesday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

20- Apr- 2024
Saturday (Saturday - Sunday)

Weekend Regular

11:00 AM (IST)

(Class 3hr - 3:30Hrs) / Per Session

20- Apr- 2024
Saturday (Saturday - Sunday)

Weekend Fasttrack

11:00 AM (IST)

(Class 4:30Hr - 5:00Hrs) / Per Session

Can't find a batch you were looking for?
₹21000 ₹16000 10% OFF Expires in

No Interest Financing start at ₹ 5000 / month

BigQuery Online Training Overview

This BigQuery training is considered to be Google engineer-level training, which means it was built for cloud engineers. For cloud engineers experience with GCP services, this BigQuery skills course is intended. This course is designed to provide BigQuery with a full introduction and summary. This course is for you whether you're a marketer, data scientist, or engineer and need direct access to the comprehensive data that underlies your GA360 studies.

BigQuery Training will:

  • To work out any unexpected problems that can occur, IT help is on hand.
  • Learn how to deal with partitioned tables, table schemas, and data sets.
  • Joining multiple data sources: In BigQuery, link your Google Analytics data with your CRM and Android app data to track trends across the entire customer experience.
  • Gain a detailed understanding of how to load data into BigQuery.
  • Learn to query data from BigQuery, external sources of data, and safe tools for massive queries.
  • By using denormalized data structures, with or without nested repeated fields, speed up your queries.
  • Implement regulation of fine-grained access using roles and approved views.
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Top Skills You Will Gain
  • Query syntax and clauses
  • BigQuery Fundamentals, use cases
  • String functions
  • Common causes for errors
  • Creating datasets and tables
  • Aggregate and window functions
  • splitting and extracting values
  • Analytics 360 schem

BigQuery Course Key Features 100% Money Back Guarantee

  • 5 Weeks Training

    For Become a Expert
  • Certificate of Training

    From Industry BigQuery Experts
  • Beginner Friendly

    No Prior Knowledge Required
  • Build 3+ Projects

    For Hands-on Practices
  • Lifetime Access

    To Self-placed Learning
  • Placement Assistance

    To Build Your Career

Top Companies Placement

The BigQuery Application Developer will be working with Serverless, highly scalable, and cost-effective multi-cloud data warehouse designed for business agility. BigQuery runs to load data, export data, query data, or copy data. When you use the Cloud Console or the QB command-line tool to load, export, query, or copy data resource is automatically created, scheduled, and run rewarded with substantial pay raises shown below.
  • Designation
  • Annual Salary
    Hiring Companies
  • 4.24L
    Min
  • 6.5L
    Average
  • 13.5L
    Max
  • 4.50L
    Min
  • 7.5L
    Average
  • 14.5L
    Max
  • 4.0L
    Min
  • 6.5L
    Average
  • 16.5L
    Max
  • 3.24L
    Min
  • 6.5L
    Average
  • 15.5L
    Max

Training Options

One to One Training

₹23000₹ 18000

  • Lifetime access to high-quality self-paced eLearning content curated by industry experts
  • 8 industry case studies on real business problems
  • 6 hands-on projects to perfect the skills learnt
  • 8 industry case studies on real business problems
  • 6 hands-on projects to perfect the skills learnt

Online Training

₹21000₹ 16000

  • preferred
  • Live demonstration of features and practicals.
  • Lifetime access to high-quality self-paced learning and live online class recordings
  • Get complete certification guidance
  • Attend a Free Demo before signing up.

Next Demo Sessions

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Corporate Training

Customized to your team's needs

  • Self-Paced/Live Online/Classroom modes of training available
  • Design your own course content based on your project requirements
  • Learn as per full day schedule and/or flexible timings
  • Gain complete guidance on certification
  • 24x7 learner assistance and support

Self Paced Training

  • 50+ Hours High-quality Video
  • 28+ Downloadable Resource
  • Lifetime Access and 24x7 Support
  • Access on Your Computer or Mobile
  • Get Certificate on Course Completion
  • 3+ Projects
12500 ₹4500

BigQuery Course Curriculam

Trainers Profile

Trainers are certified professionals with 14+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from BigQuery Course Online Training course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.

Pre-requisites

Understanding of the fundamentals of Google App Engine is necessary to take this BigQuery . You must also know the fundamentals of MySQL.

Syllabus of BigQuery Online Course Download syllabus

  • 1. Introduction to BigQuery
  • 2. BigQuery Sandbox and Web UI
  • 3. Command-Line Tools
  • 4. BigQuery Classic Web UI
  • 1. Introduction
  • 2. Running Jobs Programmatically
  • 3. Managing Jobs
  • 1. Define Datasets
  • 2. Dataset Locations
  • 3. Creating and Copying Datasets
  • 4. Controlling Access to Datasets
  • 5. Listing Datasets
  • 6. Updating Dataset Properties
  • 7. Managing Datasets
  • 8. Availability and Durability
  • 1. Specifying a Schema
  • 2 Specifying Nested and Repeated Columns
  • 3. Auto-Detecting Schemas
  • 4. Modifying Table Schemas
  • 5. Manually Changing Table Schemas
  • 1. Creating and Using Tables
  • 2. Managing Tables and Table Data
  • 3. Exporting Table Data
  • 4. Updating Table Data using DML
  • 1. What are Partitioned Tables?
  • 2. Creating Ingestion-time Partitioned Tables
  • 3. Creating Date/Time Partitioned Tables
  • 4. Creating Integer Range Partitioned Tables
  • 5. Managing and Querying Partitioned Tables
  • Define Clustered Tables
  • Creating and Using Clustered Tables
  • Querying Clustered Tables
  • 1. Introduction to Views
  • 2. Creating Views
  • 3. Controlling Access to Views
  • 4. Creating Authorised Views
  • 5. Listing Views
  • 6. Updating View Properties
  • 7. Managing Views
  • 1. Adding Labels
  • 2. Viewing Labels
  • 3. Updating Labels
  • 4. Filtering Using Labels
  • 5.Deleting Labels
  • 1. Loading Data from Cloud Storage
  • 2. Loading Data from a Local File
  • 3. Streaming Data into BigQuery
  • 1. Running Interactive and Batch Queries
  • 2. Performing a Query Dry Run
  • 3. Writing Query Results
  • 4. Using Cached Results
  • 5. Running Parameterised Queries
  • 6. Querying Data Using a Wildcard Table
  • 7. Saving and Sharing Queries
  • 8. Scheduling Queries
  • 9. Using the Query Plan Explanation
  • 10. Using the BigQuery Connector for Excel
  • 1. Creating a Table Definition File
  • 2. Querying Externally Partitioned Data
  • 3. Federated Queries with Cloud SQL Data
  • 4. Querying Cloud Bigtable and Storage Data
  • 5. Querying Google Cloud Drive Data
  • 1. Introduction to BigQuery Costs
  • 2. Estimating Storage and Query Costs
  • 3. Custom Cost Controls
  • 1. Access Controls
  • 2. Encryption at Rest
  • 3. Using Cloud DLP to Scan BigQuery Data
  • 4. Protecting Data with Cloud KMS Keys
  • 5. BigQuery Monitoring Using Stackdriver
  • 1. Authentication
  • 2. Authorising API Requests
  • 3. Batch Requests
  • 4. Paging through Tables
  • 5. API Performance Tips
(15) view More view Less
Need customized curriculum?

Industry Projects

Project 1
Cluster Managment System

BigQuery leverages a columnar storage format and compression algorithm to store data in Colossus in the most optimal way for reading large amounts of structured data.

Project 2
Google cloud platform Project

This project is Data can be loaded into BigQuery using a job or by streaming records individually. .

Project 3
Employee Management System (EMS)

Create a new system to automate the regulation creation and closure process.

Mock Interviews

  • Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
  • Our mock interviews will be conducted by industry experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!

How Learnovita Mock Interview Works?

BigQuery Training Objectives

  • BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. Simply move your data into BigQuery and let us handle the hard work.
  • As you can see it takes 1.6 second to run such a simple query on a 88.2 KB table with 481 rows. ... Therefore if you want to use BigQuery, you better prepare other database as a transactional database to store the result of calculation or process that you get from BigQuery.
  • Google BigQuery is a cloud-based enterprise data warehouse that offers rapid SQL queries and interactive analysis of massive datasets. BigQuery was designed on Google's Dremel technology and is built to process read-only data.
BigQuery is a hybrid system that allows you to store data in columns, but it takes into the NoSQL world with additional features, like the record type, and the nested feature.
  • With the launch of BigQuery 2.0, BigQuery released support for standard SQL, and renamed BigQuery SQL to legacy SQL. Standard SQL is the preferred SQL dialect for querying data stored in BigQuery.
  • BigQuery is a REST-based web service which allows you to run complex analytical SQL-based queries under large sets of data. ... You need to understand that BigQuery cannot be used to substitute a relational database, and it is oriented on running analytical queries, not for simple CRUD operations and queries.
  • Mostly Yes, The Basic Programing Language of C and C++ language knowledge is to make Ease to Understand the Concepts Easily.
  • BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service (PaaS) that supports querying using ANSI SQL. It also has built-in machine learning capabilities.
The training is perfect for the below job positions:
  • Software developers
  • Web designers
  • Programming enthusiasts
  • Engineering graduates
  • Students who all want to become BigQuery developers
  • unprecedented performance: Columnar Storage. Data is stored in a columnar storage fashion which makes possible to achieve a very high compression ratio and scan throughput. Tree Architecture is used for dispatching queries and aggregating results across thousands of machines in a few seconds.
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Exam & Certification

At LearnoVita, You Can Enroll in Either the instructor-led Online Classroom Training or Online Self-Paced Training. Online Classroom:
  • Participate and Complete One batch of BigQuery Training Course
  • Successful completion and evaluation of any one of the given projects
Online Self-learning:
  • Complete 85% of the BigQuery Certification course
  • Successful completion and evaluation of any one of the given projects
Honestly Yes, We Provide 1 Set of Practice test as part of Your BigQuery Training course. It helps you to prepare for the actual BigQuery Certification exam. You can try this free BigQuery Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.
These are the Four Different Kinds of Certification levels that was Structured under the Oracle’s BigQuery Certification Path.
  • Oracle Certified Associate (OCA)
  • Oracle Certified Professional (OCP)
  • Oracle Certified Expert (OCE)
  • Oracle Certified Master (OCM)
  • Learn About the Certification Paths.
  • Write Code Daily This will help you develop Coding Reading and Writing ability.
  • Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
  • Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
  • Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
Honestly Yes, Please refer to the link This Would Guide you with the Top 20 Interview Questions & Answers for BigQuery Developers.

Recently placed students

BigQuery Course FAQ's

LearnoVita Offers the Best Discount Price for you CALL at +91 93833 99991 and know the Exciting offers Available for you!!!
Yes, you can attend the demo session. Even though We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrolment is not possible.If you are unable to attend you can go through our Pre recorded session of the same trainer, it would give you a clear insight about how are the classes conducted, the quality of instructors, and the level of interaction in the class.
All Our instructors are working professionals from the Industry, Working in leading Organizations and have Real-World Experience with Minimum 9-12 yrs of Relevant IT field Experience. All these experienced folks at LearnoVita Provide a Great learning experience.
The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course
  • LearnoVita will assist the job seekers to Seek, Connect & Succeed and delight the employers with the perfect candidates.
  • On Successfully Completing a Career Course with LearnoVita, you Could be Eligible for Job Placement Assistance.
  • 100% Placement Assistance* - We have strong relationship with over 650+ Top MNCs, When a student completes his/ her course successfully, LearnoVita Placement Cell helps him/ her interview with Major Companies like Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree and MPhasis etc...
  • LearnoVita is the Legend in offering placement to the students. Please visit our Placed Students's List on our website.
  • More than 5400+ students placed in last year in India & Globally.
  • LearnoVita Conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student's Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
After Your Course Completion You will Receive
  • LearnoVita Certification is Accredited by all major Global Companies around the World.
  • LearnoVita is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (nie) Singapore
  • Also, LearnoVita Technical Experts Help's People Who Want to Clear the National Authorized Certificate in Specialized IT Domain.
  • LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
  • All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
  • You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
  • After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
At LearnoVita you can enroll in either the instructor-led Online Training, Self-Paced Training, Class Room, One to One Training, Fast Track, Customized Training & Online Training Mode. Apart from this, LearnoVita also offers Corporate Training for organizations to UPSKILL their workforce.
LearnoVita Assures You will Never lose any Topics and Modules. You can choose either of the Three options:
  • We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
  • View the class presentation and recordings that are available for online viewing.
  • You can attend the missed session, in any other live batch.
Just give us a CALL at +91 9383399991 OR email at contact@learnovita.com
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question After Once You Have Enrolled.
We at LearnoVita believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics and Can Access more information and Richer Understanding through teacher and other students' body language and voice. Therefore, we restrict the size of each BigQuery batch to 5 or 6 members
Learning BigQuery can help open up many opportunities for your career. It is a GREAT SKILL-SET to have as many developer roles in the job market requires proficiency in BigQuery. Mastering BigQuery can help you get started with your career in IT. Companies like Oracle, IBM, Wipro, HP, HCL, DELL, Bosch, Capgemini, Accenture, Mphasis, Paypal, and MindLabs.
The Average BigQuery Developer salary in India is ₹4,43,568 per annum.
You can contact our support number at +91 93800 99996 / Directly can do by LearnoVita E-commerce payment system Login or directly walk-in to one of the LearnoVita branches in India.
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