Certificate in Streaming Data: Foundations

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The Certificate in Streaming Data: Foundations is a vital course for professionals seeking to excel in today's data-driven world. Streaming data is at the heart of many modern applications, and this course equips learners with the essential skills to design, build, and maintain streaming data systems.

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About this course

With the rapid growth of big data and real-time analytics, the demand for experts with streaming data skills has never been higher. This course is designed to meet that demand, providing a comprehensive overview of streaming data concepts, tools, and best practices. Through hands-on exercises and real-world examples, learners will gain practical experience working with popular streaming data technologies such as Apache Kafka, Apache Flink, and Apache Spark Streaming. They will also explore key concepts such as data ingestion, processing, and analytics, as well as data security, reliability, and scalability. By earning this certificate, learners will demonstrate their expertise in streaming data, opening up exciting new career opportunities in fields such as software engineering, data science, and DevOps. This course is an essential step for anyone looking to advance their career in today's fast-paced, data-driven world.

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Course Details

• Unit 1: Introduction to Streaming Data
• Unit 2: Big Data & Real-time Analytics
• Unit 3: Streaming Data Architecture
• Unit 4: Data Ingestion & Stream Processing
• Unit 5: Key Streaming Technologies (Apache Kafka, Storm, Spark Streaming)
• Unit 6: Data Security & Compliance in Streaming
• Unit 7: Designing Scalable Streaming Systems
• Unit 8: Streaming Data Visualization & Business Intelligence
• Unit 9: Use Cases & Best Practices in Streaming Data
• Unit 10: Trends & Future of Streaming Data

Career Path

The Certificate in Streaming Data: Foundations program prepares students to excel in various data-focused roles within the tech industry. Below, we have a vibrant 3D pie chart, displaying the percentage distribution of job roles in the UK market. The data visualization allows learners to understand the demand for different positions. With the rise of big data and streaming data technologies, professionals with the right skill set are in high demand. The following roles are essential in this field, and our certificate program helps you build a strong foundation in each: 1. **Data Engineer (35%):** In this role, professionals design, build, and manage data systems and pipelines that process streaming data. 2. **Data Analyst (30%):** Data analysts collect, process, and interpret complex data sets to help organizations make informed decisions. 3. **Data Scientist (25%):** These professionals use statistical models, machine learning, and other tools to uncover insights and solve complex problems. 4. **Machine Learning Engineer (10%):** Machine learning engineers build, maintain, and improve ML models and systems that can learn from data and make predictions or decisions. This 3D pie chart, created using Google Charts, highlights the job market trends in the UK for data-focused roles. With the Certificate in Streaming Data: Foundations, you will gain hands-on experience in processing streaming data with real-world projects, toolkits, and best practices.

Entry Requirements

  • Basic understanding of the subject matter
  • Proficiency in English language
  • Computer and internet access
  • Basic computer skills
  • Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course Status

This course provides practical knowledge and skills for professional development. It is:

  • Not accredited by a recognized body
  • Not regulated by an authorized institution
  • Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

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CERTIFICATE IN STREAMING DATA: FOUNDATIONS
is awarded to
Learner Name
who has completed a programme at
London School of International Business (LSIB)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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