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Google BigQuery Training and Certification Course

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Dive into Data with Google BigQuery! Master the art of data analysis and manipulation using Google's powerful, cloud-based BigQuery service with Multisoft Virtual Academy. Harness your data's potential, generate impactful insights, and propel your career forward. Start your data journey with us today!

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23 Nov 2024 24 06:00 PM - 09:00 PM Sat, Sun
24 Nov 2024 24 06:00 PM - 09:00 PM Sat, Sun
30 Nov 2024 24 06:00 PM - 09:00 PM Sat, Sun
01 Dec 2024 24 06:00 PM - 09:00 PM Sat, Sun

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Instructor-led Training Live Online Classes

23 Nov 2024 24 06:00 PM - 09:00 PM Sat, Sun
24 Nov 2024 24 06:00 PM - 09:00 PM Sat, Sun
30 Nov 2024 24 06:00 PM - 09:00 PM Sat, Sun
01 Dec 2024 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 500

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Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

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Instructor-Led Online Training Parameters

Course Highlights

  • Duration: 24 Hrs.
  • Subject Matter Expert
  • After Training Support
  • Recorded Sessions
  • Lifetime e-Learning Access
  • Free Online Assessments
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Google BigQuery Training Course Syllabus

Curriculum Designed by Experts

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Welcome to our in-depth Google BigQuery certification course by Multisoft Virtual Academy, your gateway to mastering the art of data analysis and manipulation. This comprehensive course, designed for data enthusiasts at all levels, provides an immersive and hands-on experience in leveraging one of Google Cloud's most dynamic tools: BigQuery. Our journey begins with a strong foundation in BigQuery's basics: its unique attributes, position in the data ecosystem, and how it stands apart from traditional databases. We then dive into SQL for BigQuery, offering a deep understanding of structured querying to manipulate and analyze large data sets effectively.

You will also explore data loading techniques, schema design best practices, and optimizations to ensure your queries run swiftly and efficiently. The course advances to the applications of Machine Learning within BigQuery, equipping you with the tools to uncover even more profound insights. We then wrap up with extensive hands-on projects and real-life case studies to cement your learning and give you confidence in applying your new skills in professional settings. This Google BigQuery course is not just a learning path; it's a stepping stone to propel your data-focused career. Come, join us, and unlock the power of your data!

There are various online courses available for interacting with Google BigQuery. These courses provide hands-on training and cover topics such as querying, data manipulation, and advanced analytics using BigQuery's powerful features.

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

In our Google BigQuery Certification Course, we aim to equip learners with the necessary knowledge and skills to become proficient in using Google BigQuery. We will delve into the fundamentals of this powerful platform, covering everything from basic operations to advanced analytical features.

  • Understand the Fundamentals: Grasp the basics of Google BigQuery, its core concepts, and where it fits in the broader data analytics ecosystem.
  • Apply SQL in BigQuery: Utilize SQL for BigQuery to effectively query, analyze, and manipulate large datasets.
  • Design Efficient Schemas: Implement best practices for designing schemas in BigQuery to ensure your databases are organized, robust, and efficient.
  • Manage and Load Data: Learn different techniques to load, manage, and extract data from BigQuery.
  • Optimize Queries: Improve the performance of your queries by learning how to optimize them for speed and cost efficiency.
  • Integrate with Machine Learning: Understand how to use BigQuery ML to create and use machine learning models for advanced data analytics.
  • Apply Knowledge to Real-World Scenarios: Use hands-on projects and case studies to apply learned skills to real-life data situations and challenges.

The Google BigQuery course is ideal for:

  • Data Analysts
  • Data Scientists
  • Database Administrators
  • IT Professionals
  • Students and Aspiring Data Professionals
  • Business Intelligence Professionals

The prerequisites for the Google BigQuery course are:

  • Basic Knowledge of SQL: Understanding of SQL (Structured Query Language) basics is helpful as Google BigQuery uses a dialect of SQL. Familiarity with concepts like select statements, joins, and aggregate functions will be beneficial.
  • Familiarity with Databases: General understanding of databases, how they are structured, and how they work will aid your comprehension of BigQuery.
  • Basic Understanding of Cloud Computing: Google BigQuery is a cloud-based service. While not mandatory, a basic understanding of cloud concepts, particularly Google Cloud Platform, can enhance your learning experience.
  • Data Analysis Fundamentals: While we will cover many concepts from scratch, a basic understanding of data analysis principles can be helpful in grasping BigQuery's capabilities.

Google BigQuery Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.
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Google BigQuery Corporate Training Certification

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Interactive Virtual Training

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Lifetime Access

  • Lifetime E-learning Access
  • Recorded Training Session Videos
  • Free Access to Practice Tests
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Hands on Experience

  • Project Based Learning
  • Learning based on real-life examples
  • Assignments and Practice Tests
Globally Recognized Training Certificate

Globally Recognized Certificate

  • Multisoft Training Certificate
  • Globally Recognized and Accepted
  • Lifetime Validity

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Google BigQuery Training FAQ's

While not required, basic knowledge of SQL and familiarity with data analysis concepts can be beneficial. However, the course is designed to be accessible even for beginners.

Yes, the course includes numerous practical exercises, real-world scenarios, and case studies to help you apply what you've learned.

No, this course is ideal for anyone interested in data analysis and manipulation, including IT professionals, students, and business intelligence professionals.

The duration can vary depending on your existing knowledge and how much time you can dedicate to the course each week. However, on average, learners complete the course in a few weeks.

This course is designed to provide you with a deep understanding of Google BigQuery. While it will certainly be beneficial for certification preparation, it's advised to review the specific exam guidelines and material as well.

To get the most out of the course, it's recommended that you sign up for a Google Cloud Platform account to access BigQuery and other related services.

You will have access to our instructors and a community of learners for any questions or discussions. You will also receive regular feedback on your progress.

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