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allthingsdata.io

All Things Data : Scalable data solutions for Data Science, Enterprise and IoT

All Things Data : Scalable data solutions for Data Science, Enterprise and IoT. Twitter: @All Things Data. Scalable, resilient, responsive) data solutions. Data Science with Spark, Scala, Hadoop, HBase, postgreSQL (helping to choose the best technologies for the use case). Development and maintenance of the full solution for a specific use case. Based on these Guiding Principles. Event Sourcing, CQRS, Kappa and Lambda architectures. Functional languages and TDD. Analysis tools: Spark, GraphX, MLlib.

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All Things Data : Scalable data solutions for Data Science, Enterprise and IoT | allthingsdata.io Reviews
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All Things Data : Scalable data solutions for Data Science, Enterprise and IoT. Twitter: @All Things Data. Scalable, resilient, responsive) data solutions. Data Science with Spark, Scala, Hadoop, HBase, postgreSQL (helping to choose the best technologies for the use case). Development and maintenance of the full solution for a specific use case. Based on these Guiding Principles. Event Sourcing, CQRS, Kappa and Lambda architectures. Functional languages and TDD. Analysis tools: Spark, GraphX, MLlib.
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All Things Data : Scalable data solutions for Data Science, Enterprise and IoT | allthingsdata.io Reviews

https://allthingsdata.io

All Things Data : Scalable data solutions for Data Science, Enterprise and IoT. Twitter: @All Things Data. Scalable, resilient, responsive) data solutions. Data Science with Spark, Scala, Hadoop, HBase, postgreSQL (helping to choose the best technologies for the use case). Development and maintenance of the full solution for a specific use case. Based on these Guiding Principles. Event Sourcing, CQRS, Kappa and Lambda architectures. Functional languages and TDD. Analysis tools: Spark, GraphX, MLlib.

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All Things Data : Scalable data solutions for Data Science, Enterprise and IoT

All Things Data : Scalable data solutions for Data Science, Enterprise and IoT. Twitter: @All Things Data. Scalable, resilient, responsive) data solutions. Data Science with Spark, Scala, Hadoop, HBase, postgreSQL (helping to choose the best technologies for the use case). Development and maintenance of the full solution for a specific use case. Based on these Guiding Principles. Event Sourcing, CQRS, Kappa and Lambda architectures. Functional languages and TDD. Analysis tools: Spark, GraphX, MLlib.

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