Caylent Catalysts™
Data Modernization Strategy
From implementing data lakes & migrating off commercial databases to optimizing data flows between systems, turn your data into insights with AWS cloud native data services.
Caylent Catalysts™
From implementing data lakes & migrating off commercial databases to optimizing data flows between systems, turn your data into insights with AWS cloud native data services.
Caylent Catalysts™
Plan and implement an MLOps strategy unique to your team's needs, capabilities, and current state, unlocking the next steps in tactical execution by offloading the infrastructure, data, operations, and automation work from data scientists.
Caylent Catalysts™
Accelerate the adoption of a production ready AWS foundation, and establish automated security guardrails to keep existing and new accounts in compliance with your desired security posture.
Caylent Catalysts™
Design new cloud native applications by providing secure, reliable and scalable development foundation and pathway to a minimum viable product (MVP).
Rapidly implement a foundational low-code data lake with Caylent's data engineering experts who will also enable your teams for no-code exploratory data analysis.
Businesses are generating data at an explosive rate, but have barely scratched the surface on how to tap into this valuable resource. IDC estimates that 175 zettabytes of data will be created, consumed, and stored annually by 2025, making effective and efficient data storage more critical than ever before.
As businesses pivot towards being data-driven, business intelligence, artificial intelligence, and machine learning become competitive advantages. Using the suite of data storage and analytics options on AWS, proactive businesses are realizing that value and gaining advantage today.
Caylent’s data engineering experts will work with you to build a foundational data lake and enable your teams on how to use no-code solutions for wrangling and exploring your data. Our Serverless Data Lake Caylent Catalyst will shorten your time to market from months to weeks and set you up to easily grow your data lake by scaling ingest sources through low-code solutions.
Through a discovery workshop, we’ll discuss your data lake foundation and data exploration needs, then capture your requirements on data import and access patterns.
Based on your requirements, we’ll design the baseline infrastructure, data pipelines, and security model, build a serverless data lake in your production account and import up to 3 single schema data sources.
We’ll then conduct an exploratory data analysis (EDA) lab so your team can gain hands-on experience using AWS Glue DataBrew and AWS Lake Formation for data exploration, cataloging, and governance.
Serverless Data Lake