Corporate Google Big Data Training Course

Name: Google Big Data Training
Availability: InStock

Edstellar's instructor-led Google Big Data training course offers teams an unparalleled opportunity to harness the potential of data-driven insights. From mastering advanced analytics to leveraging cloud-based infrastructure, this customized curriculum equips firms with the expertise to drive innovation and make informed business decisions.

Duration

8 - 16 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

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About Learning Outcomes Key Benefits Course Outline Target Audience Training Modes Certificate Trainers Request a Training Quote

Drive Team Excellence with Google Big Data Corporate Training

Google Big Data refers to a set of technologies and tools provided by Google Cloud Platform (GCP) that enable organizations to store, process, analyze, and derive valuable insights from large, complex datasets. Unlock the true potential of your organization's data-driven endeavors with our cutting-edge Google Big Data training course. Tailored exclusively for corporate teams, our Google Big Data instructor-led training is the gateway to mastering the art of harnessing data for strategic insights.

Designed by industry experts, our Google Big Data training delves into the heart of data management, analytics, and visualization, equipping the team with the skills needed to extract actionable intelligence from vast datasets. Attendees will learn how to navigate the intricate landscape of Google Big Data tools and techniques through immersive, hands-on exercises and real-world scenarios. We offer onsite Google Big Data training, ensuring seamless integration of newfound skills into the existing workflows. Elevate the team's proficiency and drive unparalleled growth with our dynamic training that's as innovative as the technology it covers.

Get Customized Expert-led Training for Your Teams

Customized Training Delivery

Scale Your Training: Small to Large Teams

In-person Onsite, Live Virtual or Hybrid Training Modes

Plan from 2000+ Industry-ready Training Programs

Experience Hands-On Learning from Industry Experts

Delivery Capability Across 100+ Countries & 10+ Languages

Skills Your Employees Will Gain

These are the core, hands-on capabilities your team builds during the program.

Big Data Concepts
Big Data Concepts involve understanding and managing vast datasets to extract insights. This skill is important for data analysts and data scientists to drive informed decision-making.
Scalable Data Pipelines
Scalable Data Pipelines are systems designed to efficiently process and manage large volumes of data. this skill is important for data engineers and analysts, enabling them to handle growing data needs and ensure timely insights.
Data Governance
Data Governance is the management of data availability, usability, integrity, and security. This skill is important for roles in data management, compliance, and analytics, ensuring data quality and regulatory adherence.
Data Visualizations
Data Visualizations involve creating graphical representations of data to communicate insights clearly. This skill is important for analysts and marketers to drive informed decisions.
GCP Data Processing
GCP Data Processing involves using Google Cloud Platform tools to manage and analyze data efficiently. This skill is important for data engineers and analysts to optimize workflows and drive insights.
Statistical Analysis
Statistical Analysis involves collecting, interpreting, and presenting data to identify trends and patterns. This skill is important for data-driven roles, enabling informed decision-making and strategic planning.

What Your Team Will Achieve After This Training

Apply big data concepts and techniques to real-world scenarios
Implement scalable data pipelines for efficient data management
Optimize data workflows and enhance data governance practices
Create meaningful data visualizations to communicate insights effectively
Utilize Google Cloud Platform tools and services for data processing and analysis
Perform statistical analysis and apply machine learning algorithms to derive insights from large datasets

Topics & Program Outline

The curriculum is organized into focused modules built by industry experts and delivered virtually or on-premise. Interactive sessions reflect the evolving demands of the workplace, keeping the learning both relevant and practical.

Introduction to Google Big Data

Basics of big data and its significance
- Definition of big data
- Characteristics of big data (volume, velocity, variety, veracity)
- Importance of big data in decision-making and business insights
Introduction to Google Cloud Platform (GCP)
- Overview of Google Cloud Platform services
- Advantages of using GCP for big data management
- Introduction to key GCP services like Google Cloud Storage, Google BigQuery, and Google Cloud Dataflow
Google Cloud services for big data management and analysis
- Google Cloud Storage for scalable and cost-effective data storage
- Google BigQuery for querying and analyzing large datasets
- Google Cloud Dataflow for building data pipelines and data processing

Big Data and Machine Learning on Google Cloud

Integrating big data and machine learning concepts
- Understanding the relationship between big data and machine learning
- Leveraging big data for training and improving machine learning models
- Real-world examples of big data-driven machine learning applications
Google Cloud services for big data and machine learning workflows
- Introduction to Google Cloud Dataproc for big data processing
- Google Cloud ML Engine for training and deploying machine learning models
- Integration of big data and machine learning workflows using GCP services
Applying machine learning algorithms to big data analysis
- Supervised learning algorithms (e.g., linear regression, logistic regression, decision trees)
- Unsupervised learning algorithms (e.g., clustering, dimensionality reduction)
- Techniques for feature engineering and model evaluation in big data scenarios

Data Engineering for Streaming Data

Understanding streaming data and its characteristics
- Introduction to real-time data and its importance
- Key challenges in handling streaming data (timeliness, data volume, data quality)
- Concepts of event time and processing time in streaming data
Data ingestion and processing techniques for real-time data
- Streaming data ingestion using Google Cloud Pub/Sub
- Real-time data processing using Apache Beam and Google Cloud Dataflow
- Windowing and triggering mechanisms for processing streaming data
Building data pipelines for streaming data handling
- Designing scalable and fault-tolerant data pipelines for streaming data
- Transformation and aggregation operations on streaming data
- Handling late data and out-of-order events in streaming pipelines

Big Data with BigQuery

Introduction to Google BigQuery as a data warehouse solution
- Overview of Google BigQuery features and benefits
- Introduction to BigQuery's architecture and query execution model
- Understanding datasets, tables, and schema design in BigQuery
Querying and analyzing large datasets using BigQuery
- Writing SQL queries in BigQuery for data exploration and analysis
- Filtering, aggregating, and joining data in BigQuery
- Advanced querying techniques and functions in BigQuery
Query performance optimization and cost management in BigQuery
- Techniques for optimizing query performance in BigQuery
- Understanding query caching and query plan optimization
- Cost management strategies for efficient usage of BigQuery resources

Machine Learning Options on Google Cloud

Overview of machine learning options on Google Cloud
- Introduction to Google Cloud AutoML for automated machine learning
- Google Cloud AI Platform for end-to-end machine learning workflows
- Other machine learning tools and frameworks available on GCP
Supervised and unsupervised learning techniques
- Understanding the concepts of supervised and unsupervised learning
- Overview of popular supervised learning algorithms (e.g., linear regression, random forests, neural networks)
- Introduction to unsupervised learning algorithms (e.g., clustering, dimensionality reduction)
Implementing machine learning algorithms with Google Cloud tools
- Training and deploying machine learning models using Google Cloud AI Platform
- Evaluating and monitoring machine learning models on GCP
- Integrating machine learning models with other GCP services for real-world applications

The Machine Learning Workflow with Vertex AI

End-to-end machine learning workflow using Vertex AI
- Overview of the machine learning workflow stages (data preparation, model training, evaluation, deployment)
- Introduction to Vertex AI as a unified machine learning platform on Google Cloud
Data preparation and preprocessing for machine learning
- Exploratory data analysis and feature engineering techniques
- Data preprocessing steps like normalization, scaling, and handling missing values
- Splitting datasets into training, validation, and test sets
Building, training, and deploying machine learning models with Vertex AI
- Configuring machine learning models using Vertex AI tools and libraries
- Training and hyperparameter tuning of models with Vertex AI training jobs
- Deploying trained models as endpoints for prediction and inference

Who Should Attend?

This program suits professionals at many levels across the organization, including:

Data Engineering Managers
Data Scientists
Big Data Analysts
Machine Learning Engineers
Data Analysts
Cloud Engineers
BI Developers
ETL Developers
Database Administrators
Data Architects
Cloud Architects
Data Warehousing Specialists

What are the Prerequisites?

Edstellar's instructor-led Google Big Data Training requires knowledge of basic Big Data and cloud technologies.

Request a Quote for your Corporate Training Requirements

Delivering Training for Organizations across 100 Countries and 10+ Languages

Choose the Format That Fits Your Team

We design training your teams actually engage with, and deliver it the way that suits you best. Through a vetted global trainer network, Edstellar runs sessions in 10+ languages with consistent quality anywhere.

Virtual / online: expert-led live sessions delivered anywhere, with consistency and easy scheduling.

We deliver anywhere worldwide

Standardized content for consistent outcomes

Join from own workspace, no travel

We scale to large groups across sites

Interactive tools keep remote learners engaged

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On-site (in-house): immersive, instructor-led learning at your office.

Our trainers run face-to-face at your office

We tailor setup/content to your workplace and tools

Group exercises drive collaboration

Live demos + hands-on practice

Direct trainer access to clarify doubts

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Off-site: focused, instructor-led group learning away from everyday workplace distractions.

We host your teams at a venue of your preferred choice

Built-in group activities for bonding

Full uninterrupted schedule for focus/retention

Boosts morale and signals commitment

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What Sets Edstellar Apart

Experienced Trainers

Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.

Proven Quality

With a strong global track record, Edstellar is known for quality and engaging delivery.

Industry-Relevant Curriculum

Our programs are built by experts to match the demands of today's industry.

Fully Customizable

Every program can be tailored to your organization's goals.

Comprehensive Support

We provide pre- and post-session support for a complete learning experience.

Global Multi-Location & Multilingual Training Delivery

We deliver in multiple languages to support diverse global teams.

Hear from Organizations We've Trained

"The Google Big Data training exceeded my expectations in every way. As a Lead AI Engineer, I gained comprehensive knowledge of practical applications that transformed my approach to professional expertise. The incredibly practical and immediately applicable. My ability to architect solutions and solve complex problems has improved substantially. The instructor's expertise in interactive labs made complex concepts crystal clear and actionable.”

Gregg Chandler

Lead AI Engineer,

Large-Scale Data Processing Firm

"The Google Big Data training provided critical insights into advanced methodologies that enhanced my consulting capabilities. As a Principal Data Architect, I now leverage hands-on exercises with expertise to deliver practical exercises on real-world case studies prepared me perfectly for real-world client scenarios. We delivered a high-visibility enterprise project two months ahead of schedule, demonstrating immediate value from this investment.”

Zhang Qiang

Principal Data Architect,

Distributed Computing Platform

"The Google Big Data training transformed our team's entire approach to operational excellence management and execution. As a Lead Analytics Engineer, the extensive coverage of industry best practices, expert-led proven concepts to strategic initiatives. Our team delivered record-breaking results in the subsequent quarter, exceeding all targets. Our team's productivity and solution quality have improved measurably, validating this investment.”

Anwar Ghassan

Lead Analytics Engineer,

Hadoop Solutions Provider

“Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

Aditi Rao

L&D Head,

A Global Technology Company

Recognition That Motivates Your Team

Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

We have Expert Trainers to Meet Your Google Big Data Training Needs

The instructor-led training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Access practices.

Sanjay

Mumbai, India

Trainer since

June 1, 2004

Virendra

Pune, India

Trainer since

January 1, 2015

Ramananda

Bengaluru, India

Trainer since

February 1, 2014

Corporate Google Big Data Training Course

Drive Team Excellence with Google Big Data Corporate Training

Skills Your Employees Will Gain

What Your Team Will Achieve After This Training

Topics & Program Outline

Introduction to Google Big Data

Big Data and Machine Learning on Google Cloud

Data Engineering for Streaming Data

Big Data with BigQuery

Machine Learning Options on Google Cloud

The Machine Learning Workflow with Vertex AI

Who Should Attend?

What are the Prerequisites?

Choose the Format That Fits Your Team

Get a Proposal Shaped to Your Needs

What Sets Edstellar Apart

Experienced Trainers

Proven Quality

Industry-Relevant Curriculum

Fully Customizable

Comprehensive Support

Global Multi-Location & Multilingual Training Delivery

Hear from Organizations We've Trained

Recognition That Motivates Your Team

We have Expert Trainers to Meet Your Google Big Data Training Needs

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