Advanced Certificate in Streaming Data Engineering & Architecture

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The Advanced Certificate in Streaming Data Engineering & Architecture is a comprehensive course designed to meet the growing industry demand for experts who can manage and analyze real-time data. This course emphasizes the importance of streaming data architecture, data processing, and data analytics, equipping learners with essential skills for career advancement.

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About this course

In today's data-driven world, businesses rely on real-time data insights to make informed decisions and gain a competitive edge. This course covers key concepts and best practices for streaming data engineering, including data ingestion, processing, and storage. Learners will gain hands-on experience with popular streaming data tools and platforms, such as Apache Kafka, Apache Flink, and Amazon Kinesis. Upon completion of this course, learners will have a deep understanding of streaming data engineering and architecture, making them highly valuable to employers in various industries, such as finance, healthcare, and technology. This course provides learners with the essential skills needed to advance their careers and succeed in the rapidly evolving field of data engineering.

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Course Details

Fundamentals of Streaming Data: Introduction to streaming data, data sources, and streaming platforms.
Data Ingestion and Processing: Techniques for data ingestion, processing, and real-time analytics.
Streaming Data Architecture: Designing and implementing streaming data architectures, including microservices and containerization.
Apache Kafka and Kafka Streams: Hands-on experience with Apache Kafka and Kafka Streams for stream processing.
Real-time Data Analytics: Real-time data analytics and visualization using tools like Apache Flink, Spark Streaming, and Grafana.
Data Storage and Indexing: NoSQL databases, time-series databases, and data indexing for streaming data.
Data Security and Compliance: Data security best practices, encryption, and compliance with GDPR and other regulations.
Streaming Data Integration: Integrating streaming data with batch processing and traditional data warehousing systems.
Machine Learning and AI with Streaming Data: Applying machine learning and AI techniques to streaming data for real-time decision making.

Career Path

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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Sample Certificate Background
ADVANCED CERTIFICATE IN STREAMING DATA ENGINEERING & ARCHITECTURE
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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