Drive Team Excellence with Google Big Data Corporate Training

Empower your teams with expert-led on-site, off-site, and virtual Google Big Data Training through Edstellar, a premier corporate training provider for organizations globally. Designed to meet your specific training needs, this group training program ensures your team is primed to drive your business goals. Help your employees build lasting capabilities that translate into real performance gains.

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.

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Scale Your Training: Small to Large Teams
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Delivery Capability Across 100+ Countries & 10+ Languages
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Key Skills Employees Gain from instructor-led Google Big Data Training

Google Big Data skills corporate training will enable teams to effectively apply their learnings at work.

  • 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.

Key Learning Outcomes of Google Big Data Training Workshop for Employees

Upon completing Edstellar’s Google Big Data workshop, employees will gain valuable, job-relevant insights and develop the confidence to apply their learning effectively in the professional environment.

  • 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

Key Benefits of the Google Big Data Group Training with Instructor-led Face to Face and Virtual Options

Attending our Google Big Data group training classes provides your team with a powerful opportunity to build skills, boost confidence, and develop a deeper understanding of the concepts that matter most. The collaborative learning environment fosters knowledge sharing and enables employees to translate insights into actionable work outcomes.

  • Comprehensive understanding of big data concepts and techniques
  • Ability to build scalable data pipelines for efficient data management
  • Empowered employees to drive innovation and identify business opportunities
  • Optimization of data workflows and enhancement of data governance practices
  • Creation of impactful data visualizations for effective communication of insights
  • Proficiency in utilizing Google Cloud Platform tools for data processing and analysis
  • Application of advanced analytics and machine learning algorithms to derive insights

Topics and Outline of Google Big Data Training

Our virtual and on-premise Google Big Data training curriculum is structured into focused modules developed by industry experts. This training for organizations provides an interactive learning experience that addresses the evolving demands of the workplace, making it both relevant and practical.

  1. 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
  2. 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
  3. 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
  1. 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
  2. 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
  3. 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
  1. 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
  2. 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
  3. 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
  1. 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
  2. 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
  3. 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
  1. 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
  2. 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)
  3. 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
  1. 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
  2. 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
  3. 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 Can Take the Google Big Data Training Course

The Google Big Data training program can also be taken by professionals at various levels in the organization.

  • 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

Prerequisites for Google Big Data Training

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

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Delivering Training for Organizations across 100 Countries and 10+ Languages

Corporate Group Training Delivery Modes
for Google Big Data Training

At Edstellar, we understand the importance of impactful and engaging training for employees. As a leading Google Big Data training provider, we ensure the training is more interactive by offering Face-to-Face onsite/in-house or virtual/online sessions for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

Virtual Google Big Data Training

Edstellar's Google Big Data virtual/online training sessions bring expert-led, high-quality training to your teams anywhere, ensuring consistency and seamless integration into their schedules.

With global reach, your employees can get trained from various locations
The consistent training quality ensures uniform learning outcomes
Participants can attend training in their own space without the need for traveling
Organizations can scale learning by accommodating large groups of participants
Interactive tools can be used to enhance learning engagement
On-site Google Big Data Training

Edstellar's Google Big Data inhouse face to face instructor-led training delivers immersive and insightful learning experiences right in the comfort of your office.

Higher engagement and better learning experience through face-to-face interaction
Workplace environment can be tailored to learning requirements
Team collaboration and knowledge sharing improves training effectiveness
Demonstration of processes for hands-on learning and better understanding
Participants can get their doubts clarified and gain valuable insights through direct interaction
Off-site Google Big Data Training

Edstellar's Google Big Data offsite face-to-face instructor-led group training offer a unique opportunity for teams to immerse themselves in focused and dynamic learning environments away from their usual workplace distractions.

Distraction-free environment improves learning engagement
Team bonding can be improved through activities
Dedicated schedule for training away from office set up can improve learning effectiveness
Boosts employee morale and reflects organization's commitment to employee development

Explore Our Customized Pricing Package
for
Google Big Data Corporate Training

Looking for pricing details for onsite, offsite, or virtual instructor-led Google Big Data training? Get a customized proposal tailored to your team’s specific needs.

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        Edstellar: Your Go-to Google Big Data Training Company

        Experienced Trainers

        Our trainers bring years of industry expertise to ensure the training is practical and impactful.

        Quality Training

        With a strong track record of delivering training worldwide, Edstellar maintains its reputation for its quality and training engagement.

        Industry-Relevant Curriculum

        Our course is designed by experts and is tailored to meet the demands of the current industry.

        Customizable Training

        Our course can be customized to meet the unique needs and goals of your organization.

        Comprehensive Support

        We provide pre and post training support to your organization to ensure a complete learning experience.

        Multilingual Training Capabilities

        We offer training in multiple languages to cater to diverse and global teams.

        Testimonials

        What Our Clients Say

        We pride ourselves on delivering exceptional training solutions. Here's what our clients have to say about their experiences with Edstellar.

        "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

        Get Your Team Members Recognized with Edstellar’s Course Certificate

        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.

        Certificate of Excellence

        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.

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        Sanjay
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        Pune, India
        Trainer since
        January 1, 2015
        MEAN Full Stack Trainer in Bengaluru
        Ramananda
        Bengaluru, India
        Trainer since
        February 1, 2014

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