Serendio
www.serendio.comAs Big Data technology is fast evolving, significant impediments still exist for an Enterprise to transform into a Data-driven business. Ingesting, processing, securing, and analyzing diverse data sets, what we refer to as DataOps, is proving to be a complex and expensive endeavor for most companies. Fast changing technology landscape, exploding data volumes and variety, and lack of skilled resources are key reasons for the current state of affairs. Our DataOps suite addresses these issues by leveraging reusable design patterns, templates, and workflows to accelerate the adoption of data-driven initiatives. We have an enviable team of diverse talents with proven ability to transform cutting-edge ideas in Big Data, Machine Learning, Text Mining, Semantic Analysis, and Predictive Science into innovative products and solutions for today’s Data Driven Enterprise. Our Big Data Science solutions help in driving Decisions and Actions for a wide variety of businesses in Retail, Insurance, Media, Healthcare, and Industrial Internet.
Read moreAs Big Data technology is fast evolving, significant impediments still exist for an Enterprise to transform into a Data-driven business. Ingesting, processing, securing, and analyzing diverse data sets, what we refer to as DataOps, is proving to be a complex and expensive endeavor for most companies. Fast changing technology landscape, exploding data volumes and variety, and lack of skilled resources are key reasons for the current state of affairs. Our DataOps suite addresses these issues by leveraging reusable design patterns, templates, and workflows to accelerate the adoption of data-driven initiatives. We have an enviable team of diverse talents with proven ability to transform cutting-edge ideas in Big Data, Machine Learning, Text Mining, Semantic Analysis, and Predictive Science into innovative products and solutions for today’s Data Driven Enterprise. Our Big Data Science solutions help in driving Decisions and Actions for a wide variety of businesses in Retail, Insurance, Media, Healthcare, and Industrial Internet.
Read moreCountry
State
California
City (Headquarters)
Santa Clara
Industry
Employees
1-10
Estimated Revenue
$1,000,000 to $5,000,000
Social
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Data Engineering Manager
Email ****** @****.comPhone (***) ****-****Data Analyst
Email ****** @****.comPhone (***) ****-****Member , Tech Staff
Email ****** @****.comPhone (***) ****-****Member - Data Analyst Team / Recruiter
Email ****** @****.comPhone (***) ****-****
Technologies
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