Neeraj Garg
• Data and AI Architect
• end-to-end serverless and data solutions over cloud covering a range of cloud services including AWS Big Data Stack, Data Lakehouse, Apache Spark, MongoDB, ETL, Azure Big Data Stack including ADLS, Azure Databricks
• Led and developed Generative AI based discussions and proof of concepts covering various use cases like text summarization, sentiment analysis, Q&A
• Help clients understand the significance of modern data architecture; the ability to drive the value from the data in a cost effective and efficient way
• Team Leadership – enabling teams on new and emerging technologies
neeraj garg
#neerajgarg #generativeai #coumptervision #naturallanguageprocessing #nlp #largelanguagemodels #deeplearning #machinelearning #awstutorial #dynamodb #mongodbtutorialforbeginners #mongodbtutorial #mongodb #bigdata #apachespark
#cloudcomputing
Neeraj Garg
What is the topic I'm going to cover in my upcoming video?
1 year ago | [YT] | 2
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Neeraj Garg
Google Cloud Certified Professional Data Engineer
1 year ago | [YT] | 1
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Neeraj Garg
1 year ago | [YT] | 1
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Neeraj Garg
I'm glad to share I've moved another step in my "Data Journey" with "Microsoft Certified : Azure Data Engineer Associate"
1 year ago | [YT] | 5
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Neeraj Garg
Thank you to all the viewers for your support in this wonderful and exciting journey from first subscriber to 1000 subscribers. Hope to reach many more milestones in the near future.
1 year ago | [YT] | 4
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Neeraj Garg
I'm glad to share that I've been a MongoDB Certified Associate Developer now. Cleared this certification. Great feeling.
2 years ago | [YT] | 3
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Neeraj Garg
DynamoDB Core Concepts
Data Modelling in DynamoDB
Data Types
How to design 1:1 , 1:M and M:N relationships in DynamoDB?
How does DynamoDB store data?
Global Secondary Indexes (GSI)
Local Secondary Indexes (LSI)
RCU (Read Capacity Units)
WCU (Write Capacity Units)
How to calculate DynamoDB Cost
DynamoDB caching
Querying vs Scanning
How to design, run and maintain DynamoDB for efficient data operations within low cost?
A lot of demos including integration with NodeJS and Python
2 years ago | [YT] | 1
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Neeraj Garg
Coming up with new YouTube video on MongoDB Serverless.
Run MongoDB workload without any concern about servers.
Pay as you go for the #reads and #writes by your application
Content:
Serverless pricing
Serverless Demo - How can we use serverless, how can we create collection in serverless
Can we use it with one of our favorite market leading clouds like AWS, Azure, GCP
Know everything.
Stay tuned
2 years ago | [YT] | 2
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Neeraj Garg
It is recommended to use "embedded data models" over "normalized data model" irrespective of the type of the data and requirements of the application access pattern.
2 years ago | [YT] | 3
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Neeraj Garg
The following describes an example of MongoDB access pattern. Select the appropriate option
The user data has been inserted in the users collection in MongoDB
2 years ago | [YT] | 2
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