data analytics

Deep Learning Neural Network Acceleration at the Edge

Deep Learning Neural Network Acceleration at the Edge

February 5, 2020

The dramatically growing amount of data captured by sensors and the ever more stringent requirements for latency and real time constraints are paving the way for edge computing, and this implies that …
Deep Learning Neural Network Acceleration at the Edge

Deep Learning Neural Network Acceleration at the Edge

January 26, 2020

The dramatically growing amount of data captured by sensors and the ever more stringent requirements for latency and real time constraints are paving the way for edge computing, and this implies that …
Privacy by design: Building in data privacy and protection versus bolting it on later

Privacy by design: Building in data privacy and protection versus bolting it on later

January 19, 2020

Privacy by design is a fundamentally important approach to achieving compliance with GDPR and other data privacy or data protection regulations. Les McMonagle outlines how organizations can save time and money while improving data security and regulatory compliance and dramatically reduce the risk of a data breach or expensive penalties for noncompliance.
Economic Gains from Enterprise IT DevOps, Data Analytics and Open Source

Economic Gains from Enterprise IT DevOps, Data Analytics and Open Source

January 18, 2020

Enterprise adopters of IoT and Big Data have achieved significant gains when they apply new analytics to their operations; gains likely to be magnified as firms adopt intelligent analytics tied to AI …
Running multidisciplinary big data workloads in the cloud

Running multidisciplinary big data workloads in the cloud

January 18, 2020

Attend this tutorial to learn how to successfully run a data analytics pipeline in the cloud and integrate data engineering and data analytic workflows and explore considerations and best practices for data analytics pipelines in the cloud. Along the way, you'll see how to share metadata across workloads in a big data PaaS.
Ubiquitous machine learning (sponsored by Cisco)

Ubiquitous machine learning (sponsored by Cisco)

January 17, 2020

Data is the lifeblood of an enterprise, and it's being generated everywhere. To overcome the challenges of data gravity, data analytics, including machine learning, is best done where the data is located: ubiquitous machine learning. Han Yang explains how to overcome the challenges of machine learning everywhere.
Panel: Open Networking Driving Data Center and Cloud Innovation

Panel: Open Networking Driving Data Center and Cloud Innovation

January 14, 2020

Open networking encourages innovation through collaboration. Open specifications and the reference code also allow vendors to leverage external networking competencies to formulate and commercialize n …
Building an Enterprise/Cloud Analytics Platform with Jupyter Enterprise Gateway

Building an Enterprise/Cloud Analytics Platform with Jupyter Enterprise Gateway

January 9, 2020

Data science and analytics departments are now common place for enterprises determined to maximize their operations. While Jupyter Notebooks have significantly decreased the cost of admission into this space, enterprises are finding that data science at scale is difficult within the current framework. Jupyter Enterprise Gateway is designed to address these scalability issues for the enterprise.
PayPal Notebooks: Data science and machine learning at scale, powered by Jupyter

PayPal Notebooks: Data science and machine learning at scale, powered by Jupyter

January 6, 2020

Hundreds of PayPal's data scientists, analysts, and developers use Jupyter to access data spread across filesystem, relational, document, and key-value stores, enabling complex analytics and an easy way to build, train, and deploy machine learning models. Romit Mehta and Praveen Kanamarlapudi explain how PayPal built its Jupyter infrastructure and powerful extensions.
StreamDM: Advanced data science with Spark Streaming

StreamDM: Advanced data science with Spark Streaming

December 5, 2019

Heitor Murilo Gomes and Albert Bifet offer an overview of StreamDM, a real-time analytics open source software library built on top of Spark Streaming, developed at Huawei's Noahs Ark Lab and Tlcom ParisTech.
Architecting an edge-to-cloud data pipeline to unify multiple data sources and processing engines (sponsored by NetApp)

Architecting an edge-to-cloud data pipeline to unify multiple data sources and processing engines (sponsored by NetApp)

November 29, 2019

Santosh Rao explores the architecture of a data pipeline from edge to core to cloud and across various data sources and processing engines and explains how to build a solution architecture that enables businesses to maximize the competitive differentiation with the ability to unify data insights in compelling yet efficient ways.
Big data analytics and machine learning techniques to drive and grow business

Big data analytics and machine learning techniques to drive and grow business

November 29, 2019

Burcu Baran, Wei Di, Michael Li, and Chi-Yi Kuan walk you through the big data analytics and data science lifecycle and share their experience and lessons learned leveraging advanced analytics and machine learning techniques such as predictive modeling to drive and grow business at LinkedIn.
Kafka streaming applications with Akka Streams and Kafka Streams

Kafka streaming applications with Akka Streams and Kafka Streams

November 24, 2019

Dean Wampler compares and contrasts data processing with Akka Streams and Kafka Streams, microservice streaming applications based on Kafka. Dean discusses the strengths and weaknesses of each tool for particular design needs and contrasts them with Spark Streaming and Flink, so you'll know when to choose them instead.
Whats in the Box? Resource Management in Kubernetes

Whats in the Box? Resource Management in Kubernetes

November 23, 2019

As the cloud native ecosystem evolves, it is determined to align platforms and technologies into a well-orchestrated infrastructure for optimum utilisation of compute, network and storage. This infras …
Playing well together: Big data beyond the JVM with Spark and friends

Playing well together: Big data beyond the JVM with Spark and friends

November 22, 2019

Holden Karau and Rachel Warren explore the state of the current big data ecosystem and explain how to best work with it in non-JVM languages. While much of the focus will be on Python + Spark, the talk will also include interesting anecdotes about how these lessons apply to other systems (including Kafka).
Smart agriculture: Blending IoT sensor data with visual analytics

Smart agriculture: Blending IoT sensor data with visual analytics

November 21, 2019

Mike Prorock offers an overview of mesur.io, a game-changing climate awareness solution that combines smart sensor technology, data transmission, and state-of-the-art visual analytics to transform the agricultural and turf management market. Mesur.io enables growers to monitor areas of concern, providing immediate benefits to crop yield, supply costs, farm labor overhead, and water consumption.
Speed up mission-critical analytics in the cloud (sponsored by Kyligence)

Speed up mission-critical analytics in the cloud (sponsored by Kyligence)

November 20, 2019

As organizations look to scale their analytics capability, the need to grow beyond a traditional data warehouse becomes critical, and cloud-based solutions allow more flexibility while being more cost efficient. Billy Liu offers an overview of Kyligence Cloud, a managed Apache Kylin online service designed to speed up mission-critical analytics at web scale for big data.
Streaming applications as microservices using Kafka, Akka Streams, and Kafka Streams

Streaming applications as microservices using Kafka, Akka Streams, and Kafka Streams

November 20, 2019

Join Dean Wampler and Boris Lublinsky to learn how to build two microservice streaming applications based on Kafka using Akka Streams and Kafka Streams for data processing. You'll explore the strengths and weaknesses of each tool for particular design needs and contrast them with Spark Streaming and Flink, so you'll know when to choose them instead.
What's new in Hadoop 3.0

What's new in Hadoop 3.0

November 19, 2019

Hadoop 3.0 has been years in the making, and now it's finally arriving. Andrew Wang and Daniel Templeton offer an overview of new features, including HDFS erasure coding, YARN Timeline Service v2, YARN federation, and much more, and discuss current release management status and community testing efforts dedicated to making Hadoop 3.0 the best Hadoop major release yet.