Resources

This is your source for BlueData content and resources — from our thought-leadership in white papers and webinars, to analyst reports for an independent perspective on our software, to videos with demos and interviews with our product experts. Stop back often, we update content on a regular basis. You can also refer to our blog posts here.

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Deploying TensorFlow with Al / ML in Financial Services

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Resources

Deploying TensorFlow with Al / ML in Financial Services

Deploying TensorFlow with Al / ML in Financial Services

Distributed Machine Learning with H2O on Containers

BlueData EPIC Software Datasheet

BlueData AI / ML Accelerator

BlueData Services & Support

IDC: Decoupling Compute and Storage for Big Data

Bare-Metal Performance for Big Data on Docker Containers

BlueData EPIC Software Architecture

Automation for Big Data Infrastructure and Applications

BlueData EPIC Storage Options

BlueData EPIC Network Design

Best Practices Guide: Dell EMC PowerEdge and BlueData

HPE Reference Configuration with BlueData

Virtualization of Hadoop and Spark

Changing the Equation on Big Data Spending

Solving the Big Data Intention-Deployment Gap

BlueData EPIC on AWS – Spec Sheet

Deploying TensorFlow with Al / ML in Financial Services

KubeDirector: New Kubernetes Open Source Project for Stateful Applications

Case Study: Driving Innovation with Machine Learning in the Enterprise

Deploying Complex Stateful Applications with Kubernetes

AI and Machine Learning: Enterprise Use Cases and Challenges

Deep Learning with TensorFlow and Spark: Using GPUs and Docker Containers

Deployment Use Cases for Big-Data-as-a-Service (BDaaS)

Decoupling Compute and Storage for Big Data

Big-Data-as-a-Service for Hybrid and Multi-Cloud Deployments

Panera Case Study in Big Data Analytics and Data Science

Big Data Customer Case Study: The Advisory Board Company

Hadoop and Spark on Docker: Container Orchestration

Scalable Data Science with Spark, R, RStudio, and sparklyr

Top 5 Worst Practices for Big Data Deployments

Hybrid Architecture for Big Data: On-Premises and Public Cloud

Data Science Operations and Engineering: Best Practices

Big Data Analytics on AWS: Get Started with Big-Data-as-a-Service

Distributed Data Science and Machine Learning – With Python, R, & Spark

DevOps and Big Data: Rapid Prototyping for Data Science and Analytics

Running Hadoop and Spark on Docker: Challenges and Lessons Learned

Big-Data-as-a-Service: On-Demand Elastic Infrastructure for Hadoop and Spark

Big Data Case Study with Apache Spark: University of Georgia

Build Real-Time Data Pipelines with Spark, Kafka, and Cassandra

Big Data in the Enterprise: We Need an “Easy Button” for Hadoop

Shared Infrastructure for Big Data: Separating Compute and Storage

Apache Spark is on Fire: Are you Ready?

Tame the Complexity of Big Data Infrastructure

Apache Spark and Big Data Analytics: Solving Real-World Problems

How to Simplify and Accelerate Hadoop Deployment

Dell EMC Elastic Data Platform – Powered by BlueData

BlueData and Hortonworks Data Platform

BlueData and Cisco UCS Integrated Infrastructure for Big Data

Splunk on BlueData with Pre-Integrated Hadoop for Archived Data

Big Data Lab Accelerator

Real-Time Pipeline Accelerator

Ovum Report: Simplifying Multi-Tenancy for Hadoop

ESG: Big Data Infrastructure Made Easy

EMA Vendor Watch: BlueData

Customer Story: Nasdaq Runs Big Data Analytics on BlueData

BlueData EPIC on AWS – Demo

BlueData EPIC On-Premises – Demo

Simplifying Big Data Deployment

Big Data Infrastructure Made Easy

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