infrastructure

Clouds and containers: Case studies for big data

Clouds and containers: Case studies for big data

January 25, 2020

Once the data has been captured, how can the cloud, containers, and a data fabric combine to build the infrastructure to provide the business insights? Paul Curtis explores three customer deployments that leverage the best of the private clouds and containers to provide a flexible big data environment.
Deep learning on YARN: Running distributed TensorFlow, MXNet, Caffe, and XGBoost on Hadoop clusters

Deep learning on YARN: Running distributed TensorFlow, MXNet, Caffe, and XGBoost on Hadoop clusters

January 24, 2020

In order to train deep learning and machine learning models, you must leverage applications such as TensorFlow, MXNet, Caffe, and XGBoost. Wangda Tan discusses new features in Apache Hadoop 3.x to better support deep learning workloads and demonstrates how to run these applications on YARN.
Deep learning: Assessing analytics project feasibility and requirements (sponsored by NVIDIA)

Deep learning: Assessing analytics project feasibility and requirements (sponsored by NVIDIA)

January 24, 2020

Ward Eldred offers an overview of the types of analytical problems that can be solved using deep learning and shares a set of heuristics that can be used to evaluate the feasibility of analytical AI projects.
DIY versus designer approaches to deploying data center infrastructure for machine learning and analytics

DIY versus designer approaches to deploying data center infrastructure for machine learning and analytics

January 24, 2020

Cory Minton and Colm Moynihan explain how to choose the right deployment model for on-premises infrastructure to reduce risk, reduce costs, and be more nimble.
Executive Briefing: Managing successful data projectsTechnology selection and team building

Executive Briefing: Managing successful data projectsTechnology selection and team building

January 23, 2020

Creating a successful big data practice in your organization presents new challenges in managing projects and teams. Ted Malaska and Jonathan Seidman share guidance and best practices to help technical leaders deliver successful projects from planning to implementation.
From flat files to deconstructed database: The evolution and future of the big data ecosystem

From flat files to deconstructed database: The evolution and future of the big data ecosystem

January 22, 2020

Big data infrastructure has evolved from flat files in a distributed filesystem to an efficient ecosystem to a fully deconstructed and open source database with reusable components. Julien Le Dem discusses the key open source components of the big data ecosystem and explains how they relate to each other and how they make the ecosystem more of a database and less of a filesystem.
Governing your cloud-based enterprise data lake (sponsored by Zaloni)

Governing your cloud-based enterprise data lake (sponsored by Zaloni)

January 22, 2020

Selwyn Collaco and Ben Sharma share insights from their real-world experience and discuss best practices for architecture, technology, data management, and governance to enable centralized data services and explain how to leverage the Zaloni Data Platform (ZDP), an integrated self-service data platform, to operationalize the enterprise data lake .
How to Bring your Virtual Machine VNF to Container World?

How to Bring your Virtual Machine VNF to Container World?

January 22, 2020

Container changes the world, but does it change everything? This presentation will explain the gaps between VNF virtual machines and VNF containers with various open source projects' help for VNF deve …
How to cost-effectively and reliably build infrastructure for machine learning

How to cost-effectively and reliably build infrastructure for machine learning

January 22, 2020

Mist consumes several terabytes of telemetry data daily from its globally deployed wireless access points, a significant portion of which is consumed by ML algorithms. Last year, Mist saw 10x infrastructure growth. Osman Sarood explains how Mist runs 75% of its production infrastructure, reliably, on AWS EC2 spot instances, which has brought its annual AWS cost from $3 million to $1 million.
If you thought politics was dirty, you should see the analytics behind it.

If you thought politics was dirty, you should see the analytics behind it.

January 22, 2020

Forget about the fake news; data and analytics in politics is what drives elections. John Thuma shares ethical dilemmas he faced while proposing analytical solutions to the RNC and DNC. Not only did he help causes he disagreed with, but he also armed politicians with real-time data to manipulate voters.
Software Defined Networking for CDNs and Tier 2 Service Providers

Software Defined Networking for CDNs and Tier 2 Service Providers

January 22, 2020

The ongoing shift from hardware-based, dedicated network functionality to software-based networking built on virtualized infrastructure appears to be in full swing. Content Delivery Networks (CDNs), w …
Tutorial: Edge is the Catalyst for Cloud Ready / 5G

Tutorial: Edge is the Catalyst for Cloud Ready / 5G

January 22, 2020

Join us for this tutorial which will address the following:1. Edge Datacenter (NGCO)Presented by Rory Browne, IntelOver the next decade, Next Generation Central Office will be a key strategic location …
Infrastructure for deploying machine learning to production in large financial institutions: Lessons learned and best practices

Infrastructure for deploying machine learning to production in large financial institutions: Lessons learned and best practices

January 21, 2020

Large financial institutions have many data science teams (e.g., those for fraud, credit risk, and marketing), each often using diverse set of tools to build predictive models. There are many challenges involved in productionizing these predictive AI models. Harish Doddi and Jerry Xu share challenges and lessons learned deploying AI models to production in large financial institutions.
Kafka at PayPal: Enabling 400 billion messages a day

Kafka at PayPal: Enabling 400 billion messages a day

January 21, 2020

PayPal is one of the biggest Kafka users in the industry; it manages and maintains over 40 production Kafka clusters in three geodistributed data centers and supports 400 billion Kafka messages a day. Kevin Lu, Maulin Vasavada, and Na Yang explore the management and monitoring PayPal applies to Kafka, from client-perceived statistics to configuration management, failover, and data loss auditing.
LFN Dev Forum: Building Container

LFN Dev Forum: Building Container

January 21, 2020

Containers are becoming popular choices for NFV solutions due to the benefits provided: easier to deploy, better scalability and lower overhead. Kubernetes has become another choice for Virtual Infras …
The Barometer with Telecom Operator, New Perspective for Monitoring

The Barometer with Telecom Operator, New Perspective for Monitoring

January 21, 2020

Infrastructure monitoring is very important for high availability of services in NFV. The OPNFV Barometer project concentrates on NFV's metric monitoring requirements. The Barometer project provides a …
FD.io Mini Summit: Empowering Container

FD.io Mini Summit: Empowering Container

January 20, 2020

The presentation will show a reference design of containerized VNFs with VPP integration on Arm-based NFV infrastructure. Kubernetes is used as VIM to deploy Docker cluster for OPNFV platform. DPDK is …
Leveraging the best of the past to power a better future (sponsored by MemSQL)

Leveraging the best of the past to power a better future (sponsored by MemSQL)

January 20, 2020

Todays successful businesses utilize data better than their competitors; however, data sprawl and inefficient data infrastructure restrict whats possible. Blending the best of the past with the software innovations of today will solve future data challenges. Drew Paroski shares how to develop modern database applications without sacrificing cost savings, data familiarity, and flexibility.
LFN Dev Forum: Early Insights from ONAP/OPNFV Cross

LFN Dev Forum: Early Insights from ONAP/OPNFV Cross

January 20, 2020

This session will provide a preview into how the ONAP VNF SDK project can deliver test content through the OPNFV Dovetail compliance verification framework. A hands-on demo will show how Dovetail driv …
Managing data chaos in the world of microservices

Managing data chaos in the world of microservices

January 20, 2020

When we talk about microservices, we usually focus on the communication layer. In practice, data is the much harder and often overlooked problem. Splitting applications into independent units leads to increased complexity, such as structural and semantic changes, knowledge sharing, and data discovery. Join Alexey Kachayev to explore emerging technologies created to tackle these challenges.
Mapping India

Mapping India

January 20, 2020

Answering simple questions about India's geography can be a nightmare. Official shape files are not publicly available. Worse, each ministry uses their own maps. But an active group of volunteers are crafting open maps. Anand S explains what it takes for a grass-roots initiative to transform a country's data infrastructure.
Intelligent Network Infrastructure: The "Next Hop" of Internet

Intelligent Network Infrastructure: The "Next Hop" of Internet

January 19, 2020

An AI + Network proposal called Intelligence Driven Network will be proposed. The network, especially the OAM, will develop toward intelligent and high-level automatic. The next hop of Internet potent …
Kubernetes Should Scare You - In a Good Way

Kubernetes Should Scare You - In a Good Way

January 19, 2020

Kubernetes has clearly emerged as the mind share leader in the race for container orchestration. Now, what will this new world, which has embraced Kubernetes look like in a few years? Technologies l …
Progress for big data in Kubernetes

Progress for big data in Kubernetes

January 19, 2020

Stateful containers are a well-known anti-pattern, but the standard solutionmanaging state in a separate storage tieris costly and complex. Recent developments have changed things dramatically for the better. In particular, you can now manage a high-performance software-defined-storage tier entirely in Kubernetes. Ted Dunning describes what's new and how it makes big data easier on Kubernetes.
Multi-Cloud Practices with NFV and ONAP

Multi-Cloud Practices with NFV and ONAP

January 18, 2020

Virtual Infrastructure Manager (VIM) is a very critical component in NFV architecture. The service providers always look for flexibility in its choice of VIM implementations and avoid vendor lock-in w …
Open Network API Development

Open Network API Development

January 18, 2020

Service providers need Analytics and Intelligence, Software Control and Automation, and Programmable Infrastructure to manage the transition to the Adaptive Network.A common requirement will be the u …
Scaling data infrastructure in the fashion world; or, What is this? Business intelligence for ants?

Scaling data infrastructure in the fashion world; or, What is this? Business intelligence for ants?

January 18, 2020

Francesco Mucio tells the story of how Zalando went from an old-school BI company to an AI-driven company built on a solid data platform. Along the way, he shares what Zalando learned in the process and the challenges that still lie ahead.
The answer to life, the universe, and everything: But can you get that into production? (sponsored by MapR)

The answer to life, the universe, and everything: But can you get that into production? (sponsored by MapR)

January 18, 2020

Theres real value in big data and more waiting when you add real-time, but to get the payoff, you need successful deployments of your AI and data-intensive applications. You need to be ready with your current applications in production but must have an architecture and infrastructure that are ready for the next ones as well. Ted Dunning explores how others have fared in this journey.