The foundation for frictionless data-driven business

Expert services to accelerate data science exploration, discovery, and modeling

Analytics & Data Science Pipelines

By speeding up data prep, the experts at CloudGeometry helps keep your data science team moving. Our Data Science Pipeline Services transform data sources into a reliable source of continuous agility at scale — to solve business problems faster.

Harness automation

Ensure reliable data flow and drive business agility

Seamlessly expand supply

Get the datasets you need for more nimble exploration

Size
Optimize scale / spend

Get the processing power of data science infrastructure

How it works

At CloudGeometry, we give data science teams the power of elastic compute and storage resources — without the headaches of cloud pipeline operations. We build and run data prep end-to-end, so data scientists and app developers don’t waste time carrying water from the data lake themselves.

It means we take care of custom coding, building workflows, event-driven frameworks, continuous data refinement, and production deployment — so data endpoints are always fresh and available.

Analytics & Data Science Pipelines

How we can help

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Data Science Automation

Assess data sources and data science roadmap, to calibrate baseline for continuous agile data delivery.

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End-to-end Buildout

Architect and deploy cloud data pipeline infrastructure using key opensource/AWS technologies tailored to iterative data exploration.

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Turnkey Onboarding

Orderly knowledge transfer to ensure your data science team’s hands-on mastery of pipeline management and execution.

Diagnostics
Production Readiness

Operationalize configuration and management with Docker/Kubernetes to maximize uptime and scalability, backed by 24/7 support.

How we do it

We have proven expertise building data pipelines with both Open Source and AWS Native technology stacks. Making it work, even as the flow of data accelerates, is always a trade-off: it’s a balancing act across time to market, budget constraints, flexibility to move to another cloud provider, and even understanding the flavor of problem-solving styles within an organization.

Analytics & Data Science Pipelines
Alex Ulyanov
CTO, CloudGeometry

Open Source Stack

AWS Native Tools

Data Ingest
Analytics & Data Science Pipelines

Kafka Connect

Blazing fast solution for well-defined data sources
Analytics & Data Science Pipelines

StreamSets

Ideal solution when data transformation and cleansing is required
Analytics & Data Science Pipelines

Kinesis Firehose

Fully managed service for real-time streaming
Analytics & Data Science Pipelines

S3

Best for bulk data migration of relatively slow amount of data
Analytics & Data Science Pipelines

Snowball (Import/Export)

Good for bulk data migration of large amount of data from on premises to cloud when internet connection is slow
Analytics & Data Science Pipelines

Storage Gateway

When you want to integrate existing on-premises data processing platform with AWS cloud
Data Storage
Analytics & Data Science Pipelines

Cassandra

Good when strict consistency is not a concern; offers cross-datacenter replication out of the box
Analytics & Data Science Pipelines

HBase

Good at intensive reads and integrates well with Apache big data stack
Analytics & Data Science Pipelines

Ceph

Scalable distributed object-, block- and file-level storage without a single point of failure
Analytics & Data Science Pipelines

Lustre

Highly scalable distributed file system for high-load cluster computing
Analytics & Data Science Pipelines

DynamoDB

Best when low latency and infinite scalability is required
Analytics & Data Science Pipelines

Redshift

Best managed storage for OLAP
Analytics & Data Science Pipelines

S3

Best for blob storage
Scale-out data processing
Analytics & Data Science Pipelines

Samza

Best per-message streaming processing framework when fault-tolerant local state is required
Analytics & Data Science Pipelines

Spark Streaming

Good for micro-batching with scalability and high-throughput in mind
Analytics & Data Science Pipelines

Kafka Streams

Ideal when input and output data is stored in Kafka and you need simple data processing
Analytics & Data Science Pipelines

Lambda

Ideal for quick-running per-message processing
Analytics & Data Science Pipelines

EMR

Best when you need Spark, Hadoop, or Hbase and don’t want to manage it
Analytics
Analytics & Data Science Pipelines

Orange

Novice friendly data visualization and analysis tool with interactive workflows
Analytics & Data Science Pipelines

QuickSight

Turnkey solution when rich and interactive dashboards are required
Machine Learning
Analytics & Data Science Pipelines

TensorFlow

Best when you need full control over your network
Analytics & Data Science Pipelines

SparkML

Best when you want to add ML to you Apache big-data stack
Analytics & Data Science Pipelines

Keras

Best option when you want to quickly build and test a network
Analytics & Data Science Pipelines

SageMaker

One-click solution to build, train, and deploy machine learning models
Analytics & Data Science Pipelines

ML Studio

GUI to build your machine learning model
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