Introduction of Google Advanced Data Analytics

The Google Advanced Data Analytics Certification focuses on equipping professionals with the skills needed to analyze complex datasets, build data-driven solutions, and optimize business decisions. When combined with Splunk, a leading platform for operational intelligence, log management, and real-time data analytics, this training provides a powerful foundation for professionals looking to master data analytics, monitoring, and security.

This course is designed to help participants gain expertise in advanced data analytics using Google’s methodologies while leveraging Splunk for data ingestion, visualization, and predictive insights. The training covers data exploration, machine learning, real-time monitoring, and security analytics, preparing candidates for Google’s certification and real-world data analytics applications.

Prerequisites

• Basic understanding of data analysis concepts and SQL.
• Familiarity with Google Cloud Platform (GCP) and big data tools is beneficial.
• Experience with Splunk dashboards, queries, and reports is recommended.
• Knowledge of statistics, machine learning basics, and Python/R is an added advantage.

Table of Contents

1. Fundamentals of Advanced Data Analytics

1.1 Understanding Data Analytics in the Google Ecosystem
1.2 Google’s Approach to Big Data and AI-driven Analytics
1.3 Introduction to Data Transformation, Processing, and Visualization
1.4 The Role of Splunk in Data Analytics(Ref: Google Data Analytics Certification-Splunk)

2. Google Cloud and Data Analytics Tools

2.1 Overview of Google Cloud Big Data Services
2.2 Google BigQuery for Large-Scale Analytics
2.3 Integrating Splunk with Google Cloud for Data Processing
2.4 Exploring Google Data Studio for Visualization

3. Data Collection, Storage, and Management

3.1 Best Practices for Data Collection and Ingestion
3.2 Working with Structured vs. Unstructured Data
3.3 Storing and Managing Data Efficiently in Google Cloud and Splunk
3.4 Data Governance and Security Considerations

4. Introduction to Splunk for Data Analytics

4.1 Splunk Architecture and Core Components
4.2 Setting Up Splunk for Data Ingestion
4.3 Searching and Querying Data with SPL (Splunk Processing Language)
4.4 Exploring Splunk Dashboards and Reports

5. Advanced Splunk Analytics and Visualization

5.1 Creating Interactive Dashboards with Splunk
5.2 Using Advanced SPL for Data Manipulation
5.3 Real-time Data Monitoring and Alerting with Splunk
5.4 Integrating Splunk with Google Data Studio

6. Machine Learning and AI in Data Analytics

6.1 Introduction to Machine Learning with Google Cloud AI
6.2 Predictive Analytics with Splunk Machine Learning Toolkit (MLTK)
6.3 Automating Data Insights with AI-Driven Solutions
6.4 Case Studies on AI-Driven Security and Operational Analytics

7. Security Analytics and Threat Intelligence

7.1 Splunk for Security Information and Event Management (SIEM)
7.2 Google Security Command Center and Threat Detection
7.3 Detecting Anomalies and Insider Threats with Splunk
7.4 Best Practices for Securing Data Analytics Pipelines

8. Big Data Analytics and Cloud Integration

8.1 Processing Streaming Data with Google Cloud Pub/Sub and Splunk
8.2 Using Google Cloud Dataflow for Real-time Analysis
8.3 Integrating Google Kubernetes Engine (GKE) with Splunk for Scalability
8.4 Optimizing Data Pipelines for High-Performance Analytics

9. Performance Optimization and Cost Management

9.1 Optimizing Splunk Queries and Data Indexing for Performance
9.2 Managing Costs in Google Cloud and Splunk Deployments
9.3 Best Practices for Scaling Analytics Workloads
9.4 Troubleshooting Performance Bottlenecks in Data Processing

10. Case Studies and Hands-on Labs on Data Analysis

10.1 Real-World Use Cases: Business Intelligence with Google Analytics and Splunk
10.2 Hands-on Labs: Creating Custom Dashboards and Alerts in Splunk
10.3 Building Predictive Models for Business Insights
10.4 Final Project: Integrating Google Cloud and Splunk for Advanced Data Analytics

11. Certification Preparation& Exam Readiness

11.1 Google Advanced Data Analytics Certification Exam Overview
11.2 Key Topics and Practice Questions
11.3 Splunk Fundamentals Certification Preparation
11.4 Final Review and Study Resources

Conclusion

This training combines Google’s advanced data analytics methodologies with Splunk’s powerful monitoring and security capabilities to provide professionals with cutting-edge skills in data-driven decision-making, business intelligence, and real-time analytics. By completing this training, participants will be well-prepared to pass the Google Advanced Data Analytics Certification, gain proficiency in Splunk’s advanced analytics tools, and apply these skills in industries such as finance, cybersecurity, healthcare, and IT operations.