Advanced Certificate in Streaming Data Engineering & Architecture

Name: 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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AboutThisCourse

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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CourseDetails

• 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.

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EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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ADVANCED CERTIFICATE IN STREAMING DATA ENGINEERING & ARCHITECTURE

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London School of International Business (LSIB)

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05 May 2025

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