Company profile

#Let's Data

Simplifying data pipelines - "Focus on the data, we'll manage the infrastructure!"

Industry
Software Development
Employees
2
Headquarters
Redmond, WA
Founded
2023
LinkedIn followers
230
Office locations
1

#Let's Data company summary

#Let's Data is a company in the Software Development industry, headquartered in Redmond, WA, founded in 2023. On LinkedIn the company has around 2 employees and 230 followers. Its listed specialties include bigdata, cloudcomputing, datapipelines, datainfrastructure, dataarchitecture.

What technology does #Let's Data use?

No technologies detected yet. Warmrank rechecks company websites on a rolling basis.

About #Let's Data

#Let’s Data simplifies data pipelines and eliminates infrastructure pains. Our promise: "Focus on the data, we'll manage the infrastructure". We've perfected our infrastructure code for AWS Services and built all the reliability, fault tolerance and diagnostics needed for a high-quality compute pipeline. The #Let’s Data Simplification has the following benefits: • Faster development times (42 dev weeks reduced to 8 dev weeks - Web Crawl Archive Case Study) • Reduced costs (ROI calculations for a small sized data team suggests ~ $3.72M savings in 1 year on AWS spend of ~ $100K per month, primarily from headcount reduction. Switching costs have been estimated as $850K with payback time of ~2.74 months) • Simplified development and reduced system complexity (See the architecture diagram for The #Let's Data Simplification) • Standardized development and operations (Full featured CLI, Console, logging, errors, metrics and task management builtin) • High Performance & Elastic Scale (In a web crawler case study, #Let’s Data processed 219K files (~477 TB) from S3 using Lambda in 48 hours at a nominal cost of $ 5 per TB-Hour!) • Zero cost version updates (AWS SDK upgrades, #Let's Data version upgrades etc.) #Let's Data defines simple interfaces for developers to transform records - #Let's Data will read from AWS, write to AWS and takes care of the performance, errors, diagnostics and everything in-between. #Let’s Data Minimum Viable Product (MVP) currently support: • S3 • DynamoDB • SQS • Kinesis • Lambda In a web crawler case study, #Let’s Data processed 219K files (~477 TB) from S3 using Lambda in 48 hours at a nominal cost of $ 5 per TB-Hour!

Specialties

bigdatacloudcomputingdatapipelinesdatainfrastructuredataarchitecturesoftwareengineeringdatanalyticsanalyticsdata

Where is #Let's Data located?

#Let's Data lists 1 location.

Redmond, WA, USHQ

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Frequently asked questions about #Let's Data

What does #Let's Data do?

#Let’s Data simplifies data pipelines and eliminates infrastructure pains. Our promise: "Focus on the data, we'll manage the infrastructure". We've perfected our infrastructure code for AWS Services and built all the reliability, fault tolerance and diagnostics needed for a high-quality compute pipeline. The #Let’s Data Simplification has the following benefits: • Faster development times (42 dev weeks reduced to 8 dev weeks - Web Crawl Archive Case Study) • Reduced costs (ROI calculations for a small sized data team suggests ~ $3.72M savings in 1 year on AWS spend of ~ $100K per month, primarily from headcount reduction. Switching costs have been estimated as $850K with payback time of ~2.74 months) • Simplified development and reduced system complexity (See the architecture diagram for The #Let's Data Simplification) • Standardized development and operations (Full featured CLI, Console, logging, errors, metrics and task management builtin) • High Performance & Elastic Scale (In a web crawler case study, #Let’s Data processed 219K files (~477 TB) from S3 using Lambda in 48 hours at a nominal cost of $ 5 per TB-Hour!) • Zero cost version updates (AWS SDK upgrades, #Let's Data version upgrades etc.) #Let's Data defines simple interfaces for developers to transform records - #Let's Data will read from AWS, write to AWS and takes care of the performance, errors, diagnostics and everything in-between. #Let’s Data Minimum Viable Product (MVP) currently support: • S3 • DynamoDB • SQS • Kinesis • Lambda In a web crawler case study, #Let’s Data processed 219K files (~477 TB) from S3 using Lambda in 48 hours at a nominal cost of $ 5 per TB-Hour!

How many employees does #Let's Data have?

#Let's Data has around 2 employees on LinkedIn.

Where is #Let's Data headquartered?

#Let's Data is headquartered in Redmond, WA.

When was #Let's Data founded?

#Let's Data was founded in 2023.

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