Online Classroom Batches Preferred
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekend Regular
(Class 3hr - 3:30Hrs) / Per Session
Weekend Fasttrack
(Class 4:30Hr - 5:00Hrs) / Per Session
No Interest Financing start at ₹ 5000 / month
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
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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
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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.
- 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.
- 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.
Exam & Certification
- Participate and Complete One batch of BigQuery Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the BigQuery Certification course
- Successful completion and evaluation of any one of the given projects
- 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.
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- All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
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- We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
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