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BigQuery Online Training

5023 Ratings

Rated #1 Recognized as the No.1 Institute for BigQuery Online Training

ACTE Institute Offers a Big Query Online Course Designed to Help You Master Google Cloud’s Big Query for Data Analysis and Management. You’ll Learn How to Build, Query, and Optimize Data Models in Big Query With Other Google Cloud Tools.

This BigQery Course Covers Key Topics Such as Data Warehousing, SQL Queries, and Data Visualization. It Also Includes Hands-on Practice on Bigquery’s Capabilities to Process Large Datasets Quickly and Efficiently. Thus, the BigQuery Training Prepares You for Roles in Data Engineering, Analytics, and Cloud Computing.

  • Placement Assistance for Cloud Data Roles.
  • Practical Experience With Real-world Projects and Use Cases.
  • Hands-on With SQL Queries and Data Visualization Techniques.
  • Expert Instructors With Industry Experience in Cloud Data Analytics.
  • Access to Study Materials, Recorded Sessions, and Learning Resources.
  • Learn Bigquery Course Online for Data Analysis, Management, and Warehousing.

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Fee INR 18000

INR 14000

Training

Enroll Now View Syllabus

  • Case Studies and Projects 8+

  • Hours of Training 45+

  • Placement Assurance 100%

  • Expert Support 24/7

  • Support & Access Lifetime

  • Certification Yes

  • Skill Level All

  • Language All

Learn From Experts, Practice On Projects & Get Placed in IT Company

  • 100% Guaranteed Placement Support for Freshers & Working Professionals
  • You will not only gain knowledge of BigQuery Training Certification and advanced concepts, but also gain exposure to Industry best practices
  • Experienced Trainers and Lab Facility
  • BigQuery Professional Certification Guidance Support with Exam Dumps
  • Practical oriented / Job oriented Training. Practice on Real Time project scenarios.
  • We have designed an in-depth course so meet job requirements and criteria
  • Resume & Interviews Preparation Support
  • Concepts:Cloud Console or the classic web UI, by using a command-line tool, BigQuery REST API using a variety of client libraries such as Java, .NET, or Python.
  • START YOUR CAREER WITH BigQuery CERTIFICATION COURSE THAT GETS YOU A JOB OF UPTO 6 TO 14 LACS IN JUST 80 DAYS!
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

Talk to us

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+91-7669 100 251
Other Categories Placements
  • Non-IT to IT (Career Transition) 2371+
  • Diploma Candidates3001+
  • Non-Engineering Students (Arts & Science)3419+
  • Engineering Students3571+
  • CTC Greater than 5 LPA4542+
  • Academic Percentage Less than 60%5583+
  • Career Break / Gap Students2588+
Top Placement Record

Upcoming Batches

28-Apr-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

30-Apr-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

03-May-2025
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

04-May-2025
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

    Hear it from our Graduate

    About BigQuery Online Training Course

    ACTE course in this specialization is Exploring and Preparing your Data with BigQuery. Here we will see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud Platform. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Cloud Dataprep to analyze and transform your datasets.

    Benefits

    BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you have no infrastructure to manage and don't need a database administrator, use familiar SQL and can take advantage of pay-as-you-go model.

    Best BigQuery Online Tools Covered

    • Query syntax and clauses

      BigQuery Fundamentals, use cases,

      String functions

    • Common causes for errors

      Creating datasets and tables

      Analytics 360 schem

    • Aggregate and window functions

      splitting and extracting values

      Importing/exporting data

    BigQuery allows you to analyze what's happening now by making your latest business data immediately available for analysis. Flexible Pricing Models : BigQuery enables you to choose the pricing model that best suits you. On-demand pricing lets you pay only for the storage and compute that you use.

    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 web service from Google that is used for handling or analyzing big data. It is part of the Google Cloud Platform. As a NoOps (no operations) data analytics service, BigQuery offers users the ability to manage data using fast SQL-like queries for real-time analysis.

    We are happy and proud to say that we have strong relationship with over 600+ small, mid-sized and MNCs. Many of these companies have openings for data scientists. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.

    The first 10 GB per month is free. BigQuery ML models and training data stored in BigQuery are included in the BigQuery storage free tier. The first 1 TB of query data processed per month is free.The first 10 GB of data processed by queries that contain CREATE MODEL statements per month is free.

    BigQuery is a SQL although it's often encouraged when designing schema and loading data to BigQuery to denormalize it which one of the characteristics of NoSQL databases.

    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.

    Scheduling a Query to run periodically is easy, really.

    • Save BigQuery query as View.
    • In Cloud Dataprep, write a new recipe.
    • Run the job to Export the data.
    • Schedule the job to run periodically.

    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.

    Here are a few tips to optimize your BigQuery storage costs.

    • Keep your data only as long as you need it.
    • Be wary of how you edit your data.
    • Avoid duplicate copies of data.
    • See whether you're using the streaming insert to load your data.
    • Understand BigQuery's backup and DR processes.

    Top reasons to consider a career in BigQuery?

    These are some of the top reasons why you should consider Google BigQuery for your BI tools.

    • Its Flexible Architecture Speeds Up Queries.
    • It Offers a Scale-Friendly Pricing Structure.
    • Access the Data You Need on Demand.
    • It Deploys AI to Optimize your Datasets.
    • Choose the Right Tools for your BI.
    Show More

    Key Features

    ACTE offers BigQuery Training in more than 27+ branches with expert trainers. Here are the key features,

    • 40 Hours Course Duration
    • 100% Job Oriented Training
    • Industry Expert Faculties
    • Free Demo Class Available
    • Completed 500+ Batches
    • Certification Guidance

    Authorized Partners

    ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS .

    Curriculum

    Syllabus of BigQuery Online Training Course
    Module 1: Interacting with BigQuery
    • 1. Introduction to BigQuery
    • 2. BigQuery Sandbox and Web UI
    • 3. Command-Line Tools
    • 4. BigQuery Classic Web UI
    Module 2: Running and Managing Jobs
    • 1. Introduction
    • 2. Running Jobs Programmatically
    • 3. Managing Jobs
    Module 3: Working with Datasets
    • 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
    Module 4: Working with Table Schemas (Schema)
    • 1. Specifying a Schema
    • 2 Specifying Nested and Repeated Columns
    • 3. Auto-Detecting Schemas
    • 4. Modifying Table Schemas
    • 5. Manually Changing Table Schemas
    Module 5: Working with Tables
    • 1. Creating and Using Tables
    • 2. Managing Tables and Table Data
    • 3. Exporting Table Data
    • 4. Updating Table Data using DML
    Module 6: Working with Partitioned Tables
    • 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
    Module 7: Working with Clustered Tables
    • Define Clustered Tables
    • Creating and Using Clustered Tables
    • Querying Clustered Tables
    Module 8: Working with Views
    • 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
    Module 9: Labeling BigQuery Resources
    • 1. Adding Labels
    • 2. Viewing Labels
    • 3. Updating Labels
    • 4. Filtering Using Labels
    • 5.Deleting Labels
    Module 10: Loading Data into BigQuery
    • 1. Loading Data from Cloud Storage
    • 2. Loading Data from a Local File
    • 3. Streaming Data into BigQuery
    Module 11: Querying BigQuery Data
    • 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
    Module 12: Querying External Data Sources
    • 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
    Module 13: Controlling BigQuery Costs
    • 1. Introduction to BigQuery Costs
    • 2. Estimating Storage and Query Costs
    • 3. Custom Cost Controls
    Module 14: Securing BigQuery Resources
    • 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
    Module 15: BigQuery API Basics
    • 1. Authentication
    • 2. Authorising API Requests
    • 3. Batch Requests
    • 4. Paging through Tables
    • 5. API Performance Tips
    Show More
    Show Less
    Need customized curriculum?

    Hands-on Real Time BigQuery 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.

    Project 2
    Google cloud platform Project

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

    Our Top Hiring Partner for Placements

    ACTE offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.

    • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
    • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
    • After completion of 70% BigQuery training course content, we will arrange the interview calls to students & prepare them to F2F interaction
    • BigQuery Trainers assist students in developing their resume matching the current industry needs
    • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
    • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

    Get Certified By BigQuery & Industry Recognized ACTE Certificate

    Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees.

    Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

    Complete Your Course

    a downloadable Certificate in PDF format, immediately available to you when you complete your Course

    Get Certified

    a physical version of your officially branded and security-marked Certificate.

    Get Certified

    About Experienced BigQuery Trainer

    • Our BigQuery Training . Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
    • As all Trainers are BigQuery domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
    • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
    • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
    • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best BigQuery training to the students.
    • We have received various prestigious awards for BigQuery Training from recognized IT organizations.

    BigQuery Course FAQs

    Looking for better Discount Price?

    Call now: +91-7669 100 251 and know the exciting offers available for you!
    • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
    • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
    • More than 3500+ students placed in last year in India & Globally
    • ACTE 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 Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
      ACTE Gives Certificate For Completing A Course
    • Certification is Accredited by all major Global Companies
    • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS
    • The entire BigQuery training has been built around Real Time Implementation
    • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
    • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
    All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
    No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
    We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

    Why Should I Learn BigQuery Course At ACTE?

    • BigQuery Course in ACTE is designed & conducted by BigQuery experts with 10+ years of experience in the BigQuery domain
    • Only institution in India with the right blend of theory & practical sessions
    • In-depth Course coverage for 60+ Hours
    • More than 50,000+ students trust ACTE
    • Affordable fees keeping students and IT working professionals in mind
    • Course timings designed to suit working professionals and students
    • Interview tips and training
    • Resume building support
    • Real-time projects and case studies
    Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
    You will receive ACTE globally recognized course completion certification Along with project experience, job support, and lifetime resources.
    We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
    We at ACTE 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. Therefore, we restrict the size of each BigQuery batch to 5 or 6 members
    Our courseware is designed to give a hands-on approach to the students in BigQuery . The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
    You can contact our support number at +91 76691 00251 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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    Request for Class Room & Online Training Quotation

          Job Opportunities in Bigquery

          Around 30% of developers express a preference for Bigquery, solidifying its status as the most sought-after platform in the tech industry.

          You can Work as a
          Big Data Engineer
          Data Analyst
          Data Scientist
          Cloud Data Engineer
          Cloud Architect
          Business Intelligence Developer
          Senior Web Developer (with Backbone.js expertise)
          Database Administrator
          Data Engineer
          Data Architect
          Data Warehouse Specialist
          Machine Learning Engineer
          Salary In Bigquery

          Reach Our Placement Officer

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