Global Certificate in Connected Stream Systems

-- ViewingNow

The Global Certificate in Connected Stream Systems is a comprehensive course designed to equip learners with essential skills for managing and analyzing real-time data streams. This course is critical for professionals working in data engineering, data science, and IoT domains where real-time data processing is crucial.

4,5
Based on 5.972 reviews

4.474+

Students enrolled

GBP £ 140

GBP £ 202

Save 44% with our special offer

Start Now

Über diesen Kurs

With the increasing demand for real-time data processing, this course offers a unique opportunity to learn about connected stream systems, their architecture, and their implementation. Learners will gain hands-on experience with Apache Kafka, one of the most widely used real-time data streaming platforms. Upon completion of this course, learners will be able to design, implement, and manage real-time data streaming systems. This skillset is highly sought after by employers, making this course an excellent investment for career advancement in the data engineering field. The course is also an excellent way to stay up-to-date with the latest technologies and trends in real-time data processing.

100% online

Lernen Sie von Ăźberall

Teilbares Zertifikat

Zu Ihrem LinkedIn-Profil hinzufĂźgen

2 Monate zum Abschließen

bei 2-3 Stunden pro Woche

Jederzeit beginnen

Keine Wartezeit

Kursdetails

• Connected Stream Systems Overview: Understanding the basics, architecture, and components of connected stream systems.
• Data Ingestion: Techniques for efficiently ingesting data into connected stream systems.
• Real-time Processing: Processing data in real-time, including stream processing engines and query languages.
• Data Integration: Integrating data from various sources, including databases, message queues, and APIs.
• Data Transformation: Techniques for transforming data in real-time, including data mappings, enrichments, and aggregations.
• Data Storage: Strategies for storing data in connected stream systems, including data warehouses, data lakes, and data streams.
• Data Security: Best practices for securing data in connected stream systems, including encryption, authentication, and authorization.
• Data Governance: Implementing data governance policies, including data quality, data lineage, and data catalogs.
• Real-time Analytics: Analyzing data in real-time, including real-time dashboards, reporting, and alerts.
• Connected Stream Systems Use Cases: Real-world examples and case studies of connected stream systems, including fraud detection, IoT, and cybersecurity.

Karriereweg

The Global Certificate in Connected Stream Systems is a comprehensive program designed to equip learners with the necessary skills to excel in various roles within the booming field of connected stream systems. This section highlights the current job market trends in the UK, represented through a captivating 3D pie chart. The chart illustrates the demand for professionals in the following roles: 1. **Data Engineer**: 35% of the market 2. **Data Scientist**: 25% of the market 3. **Streaming Developer**: 20% of the market 4. **ML Engineer**: 15% of the market 5. **IoT Analyst**: 5% of the market These percentages have been calculated based on the latest job market trends and skill demand within the UK. As the industry continues to grow, these roles will be at the forefront of revolutionizing how businesses handle and analyze data. To create this interactive and visually appealing 3D pie chart, we used Google Charts, a powerful library that allows users to create a variety of charts and graphs to represent statistical data. The chart has a transparent background and no added background color, making it visually seamless on any webpage. It is also responsive, adapting to all screen sizes with a width set to 100% and a height of 400px. The JavaScript code within the
SSB Logo

4.8
Neue Anmeldung