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Data Engineering — Learn to build and manage data pipelines and systems for processing large-scale data on cloud platforms.

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Data Engineering

Big Data Fundamentals: Concepts and Core Technologies

3.8 (6)
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Data Engineering

Search and Analytics with Elasticsearch, Logstash, and Kibana

4.2 (9)
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Data Engineering

Data Engineering with Apache Airflow: Foundations and Practice

4.3 (6)
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Data Engineering

AWS Data Engineering: Building Analytics Pipelines

4.5 (4)
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Data Engineering

Introduction to MLOps: Build and Deploy Pipelines with Azure

4.4 (7)
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Data Engineering

AWS Serverless Analytics: Glue, Athena, QuickSight, and Redshift

4.0 (5)
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Data Engineering

Apache NiFi for Beginners: Design and Manage Big Data Flows

4.0 (1)
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Data Engineering

DP-900 Azure Data Fundamentals Study Guide and Exam Prep

3.8 (6)
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Data Engineering

Hadoop Fundamentals for Big Data

4.5 (4)
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Data Engineering

Datadog Monitoring and Observability: From Setup to APM

3.5 (4)
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Data Engineering

AWS Cloud Data Engineering and Machine Learning Fundamentals

4.1 (9)
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Data Engineering

Azure Data Engineering Project Guide: Design and Build Pipelines

3.3 (3)
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Data Engineering

Azure Data Lake Storage for Cloud Data Engineering

4.5 (4)
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Data Engineering

Elastic Stack Fundamentals: Elasticsearch, Kibana, and Vector Search

4.0 (4)
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Data Engineering

Data Engineering with Azure Data Factory and CI/CD

4.0 (4)
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Data Engineering

Apache Airflow: Designing Reliable Data Pipelines

4.5 (4)
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Real-Time Fraud Detection with Spark, Kafka, and Cassandra

4.2 (4)
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Data Engineering

Hadoop MapReduce: From Foundations to Real-World Implementation

3.5 (2)
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Databricks Asset Bundles for Data DevOps

4.0 (4)
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Data Engineering

Azure Cosmos DB Fundamentals: Build Scalable NoSQL Databases

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Data Lake Architecture on AWS with .NET and S3

3.5 (2)
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Hadoop Administration for Beginners: Plan, Deploy, and Manage Clusters

3.8 (6)
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Apache ZooKeeper: Distributed Coordination and Cluster Administration

5.0 (1)
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Data Engineering

Cloud Machine Learning Engineer Certification Prep

4.3 (7)
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