Complex Stateful Applications on Kubernetes: KubeDirector version 0.2

Last summer, I wrote here about our BlueK8s initiative and a new open source project for deploying and managing complex stateful scale-out applications on Kubernetes: KubeDirector. KubeDirector enables data scientists familiar with data-intensive distributed applications such as Hadoop, Spark, Cassandra, TensorFlow, Caffe2, etc. to easily run these applications on Kubernetes. In my blog post on […] Read More

Certification for Hortonworks Data Platform (HDP) 3.0

The past few months have seen a lot of exciting activity in the AI / ML and Big Data industry — including the merger of Cloudera and Hortonworks, the acquisition of BlueData by Hewlett Packard Enterprise (HPE), as well as ongoing innovation throughout the ecosystem. In this blog post, I’ll talk a little bit about […] Read More

HPE + BlueData: Joining Forces in AI/ML and Big Data

Today I’m thrilled to announce that BlueData will be joining forces with one of the legendary giants of Silicon Valley; we signed a definitive agreement to be acquired by Hewlett Packard Enterprise (HPE). This is a huge milestone for our company. I’m excited about our future as part of HPE and the impact this will […] Read More

Distributed Machine Learning Environments with H2O on Containers

More and more enterprises are adopting machine learning in support of their AI and digital transformation initiatives. Here at BlueData, I’ve worked with many customers across multiple industries to implement their machine learning algorithms. Whether in financial services, insurance, life sciences, healthcare, manufacturing, retail, telecommunications, or government … adoption is accelerating across every sector for […] Read More

A Hybrid and Multi-Cloud Playbook for AI and Big Data Workloads

Today, on behalf of the entire product team at BlueData, I’m thrilled to announce the general availability of BlueData EPIC on Microsoft Azure and Google Cloud Platform (GCP). This includes support for multi-cloud deployments as well as support for each of these public cloud services in a hybrid architecture. Here at BlueData, we’ve been continuing […] Read More

Operation: Stateful. Introducing BlueK8s and Kubernetes Director

The juggernaut that is Kubernetes has been underway and gaining momentum for some time now. It provides an extensible container orchestration framework for automating the deployment, scaling, and management of any containerized application. It has a rich ecosystem of plugins for handling everything from storage to security. And while it was originally designed for running […] Read More

Containerization for Big Data and Machine Learning

Today we announced the latest release of the BlueData EPIC software platform, with several exciting new innovations for the containerization of Big Data and machine learning workloads. This new ‘summer release’ for BlueData EPIC represents dozens of new features developed by our software engineering team over the past few months. In large part, this new functionality […] Read More

Hortonworks Certification: HDP on Docker Containers with BlueData

Running unmodified open source distributed computing frameworks on Docker containers has long been one of BlueData’s core value propositions. With that in mind, Hortonworks was one of BlueData’s first partners in the Apache Hadoop and Big Data ecosystem; the BlueData EPIC software platform was first certified for the Hortonworks Data Platform (HDP) back in 2014. […] Read More

Deploying Machine Learning Pipelines for AI Use Cases

We all know that Artificial Intelligence (AI) is here to stay. We experience AI everywhere and enjoy its benefits without even realizing it. From streaming video services like Netflix, which learn our viewing behaviors and patterns so we spend our valuable time watching the shows we like best; to digital assistants like Amazon’s Alexa, which […] Read More

Analytics and Machine Learning with SAS Viya on Docker Containers

As the industry leader in business analytics software, SAS brings a formidable toolset to address a wide range of use cases (including churn prediction, customer segmentation, market basket analysis, and more) – enabling enterprises to extract business value from large volumes of data. IDC research shows SAS with more than 30 percent of the market […] Read More