Data Engineering
38 videos • 5,983 views • by BigData Thoughts
1
What it takes to be a Bigdata Engineer| what to learn to become a bigdata engineer
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2
Data Modeling in Bigdata world under 5 mins
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3
What is Chaos Engineering | Testing in production to detect failures
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4
Handling changes in Data in Bigdata world |Change data capture| SCD Types
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5
Spark 3 0 Enhancements | spark performance optimization
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6
Source Code Management Best practices and Patterns
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7
What it takes to be a Bigdata Architect
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8
What is DataOps ?
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9
What is Augmented Analytics
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10
Factors critical for Data Applications - Reliability
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11
Factors critical for Data Applications - Scalability
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12
Factors critical for Data systems - Maintainability
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13
All about graph Databases
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14
What is Edge Analytics
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15
How to Build healthy data pipelines
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16
All about Joins in spark
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17
Object based storage
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18
Devops in 10 minutes | Why Devops | What is Devops
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19
Disaster Recovery in 10 mins
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20
All about Avro data format in 10 minutes
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21
How to become a Devops Engineer
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22
10 frequently asked questions on spark | Spark FAQ | 10 things to know about Spark
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23
10 best practices for building Data lakes| Evolution of data lakes
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24
DevSecOps in 10 minutes | All about DevSecOps
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25
What is hybrid and Multi-cloud setup
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26
What is Multitenancy on cloud
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27
All about Containerization
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28
All about containers in 10 mins
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29
All about Data Fabric in 10 minutes
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30
How to crack Bigdata Engineer Interviews
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31
All about stream processing
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32
How to build efficient Data lakes
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33
All about Data Vaults
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34
Top 3 file formats frequently used in bigdata world
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35
All About Continuous Integration
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36
Evolution of Data Architectures in last 40 years
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37
All you need to know about Spark Monitoring
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38
All about spark tuning
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