12:41
All about graph Databases
11:09
Factors critical for Data systems - Maintainability
15:58
Factors critical for Data Applications - Scalability
18:56
Factors critical for Data Applications - Reliability
14:44
All about NoSQL Databases
13:27
What is Augmented Analytics
14:19
What is DataOps ?
19:47
Evolutionary Architectures | Architectures that can evolve with changing requirements and time
20:55
What it takes to be a Bigdata Architect
18:48
Source Code Management Best practices and Patterns
09:04
Spark 3 0 Enhancements | spark performance optimization
18:01
Handling changes in Data in Bigdata world |Change data capture| SCD Types
12:54
what is a Serverless Architecture
10:06
What is Chaos Engineering | Testing in production to detect failures
07:10
What is a Data Mesh | Data Mesh explained
05:12
Data Modeling in Bigdata world under 5 mins
15:30
What is a Data Lakehouse | why is lakehouse architecture needed
15:37
What are Data Lakes | Bigdata Analytics
11:33
What Why and How of Parquet Files
11:57
Spark performance optimization Part 2| How to do performance optimization in spark
20:20
Spark performance optimization Part1 | How to do performance optimization in spark
13:49
Spark Date Timestamp datatypes | Issues with Spark version upgrade to 3.0
16:53
What it takes to be a Bigdata Engineer| what to learn to become a bigdata engineer
12:33
Spark Memory Management
07:03
What why how of Distributed Systems| Distributed systems concepts
03:26
Top 10 Technology Trends for 2021
10:27
Spark APIs | Spark programming for beginners | RDD vs Dataframe vs Dataset
05:58
Spark Architecture in 3 minutes| Spark components | How spark works
13:53
Search Unstructured data under 30 minutes| Machine learning powered search
27:52
S3 Deep Dive | S3 security best practices | S3 explained | understanding s3
17:01
Top 6 storage options in AWS | cloud storage in minutes | cloud storage options in AWS
16:29
Realtime data ingestion in cloud | analyzing data streams in realtime| kinesis data analytics
16:35
Data Ingestion in AWS | Ingesting data with AWS |10 most frequently asked questions
28:55
Architecture Nuts and bolts | Deep dive on Architecture | AWS Data lake Architecture
54:27
Data Migration Deep Dive
00:59
Channel Introduction
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About
Bigdata Thoughts is a channel focused on Bigdata technologies and cloud solutions.
Would be sharing my experience of building different use cases on cloud, the challenges faced and the different solutions. Would also talk about different technology options, architecture and design principles for each of the solutions.
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