LECTURE 1. DATA BASICS
LECTURE 2. DATA MODELLING
LECTURE 3. CHARACTERISTICS OF BIG DATA
LECTURE 4. LEGAL ASPECTS, SECURITY & PRIVACY
LECTURE 5. BIG DATA MANAGEMENT SYSTEMS
LECTURE 6. BIG DATA RETRIEVAL
LECTURE 7. STORING BIG DATA
LECTURE 8. BIG DATA INGESTION
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8.1. Ingesting Big Data (7:11)
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8.2. Message queues (7:37)
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8.3. Pub/Sub (9:41)
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8.4. MQ Technologies - MQTT pt. 1 (9:28)
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8.5. MQ Technologies - MQTT pt. 2 (7:10)
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8.6. MQ Technologies - Kafka pt. 1 (8:13)
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8.7. MQ Technologies - Kafka pt. 2 (12:02)
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8.8. MQ Technologies - Kafka pt. 3 (10:56)
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SELF-ASSESSMENT TEST (8)
LECTURE 9. BATCH PROCESSING
LECTURE 10. DEEP-DIVE INTO NoSQL
LECTURE 11. STREAM PROCESSING
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11.1. Spark Streaming pt. 1 (8:47)
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11.2. Spark Streaming pt. 2 (9:44)
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11.3. Spark Streaming pt. 3 (8:47)
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11.4. Introduction to Apache Flink (10:49)
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11.5. Apache Flink: basics (9:04)
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11.6. Apache Flink: APIs (8:10)
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11.7. Apache Flink: Streaming dataflows (16:44)
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11.8. Apache Flink: Fault tolerance (16:35)
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11.9. Lambda architecture (8:18)
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SELF-ASSESSMENT TEST (11)
