This document discusses how big data is growing faster than Moore's law and how the network is becoming a bottleneck. It introduces Solarflare as a company providing high-performance networking solutions for applications handling big data workloads. Solarflare's products are optimized for financial services, HPC, storage and cloud/web applications. The document highlights how Solarflare's hardware and software can optimize network performance and reduce latency compared to standard server networking approaches. It also provides an example of a turnkey big data management solution leveraging Solarflare's networking products.
Fiber Channel over Ethernet (FCoE) – Design, operations and management best p...Cisco Canada
This presentation will discuss, the Unified Fabric, FCoE protocol fundamentals, Nexus FCoE capabilities, FCoE Network requirements and design considerations, Ethernet enhancements, single hop design and multi-hop design.
The Future of IT Storage, by Tony Pearson -- Charts used during Infoboom webcast August 23, 2011. This session covers three topics, the changing shift in storage roles for SSD, Disk and Tape; the convergence of networks into a common data center network (Converged Enhanced Ethernet); and Cloud Computing implications for storage.
Fiber Channel over Ethernet (FCoE) – Design, operations and management best p...Cisco Canada
This presentation will discuss, the Unified Fabric, FCoE protocol fundamentals, Nexus FCoE capabilities, FCoE Network requirements and design considerations, Ethernet enhancements, single hop design and multi-hop design.
The Future of IT Storage, by Tony Pearson -- Charts used during Infoboom webcast August 23, 2011. This session covers three topics, the changing shift in storage roles for SSD, Disk and Tape; the convergence of networks into a common data center network (Converged Enhanced Ethernet); and Cloud Computing implications for storage.
In enterprises today, Wide Area Networks (WANs) are no
longer operating behind the scenes. WANs are central to
the daily operations and core business of organizations large
and small. However, enterprises must choose from a variety
of ways to implement WANs. This eBook examines the
various types of Wide Area Networks (WANs), and why
IT departments gravitate towards specific WAN solutions.
In addition, the paper provides constructive guidelines
for organizations seeking Local Area to Wide Area
Network extension.
Network Configuration Example: Configuring VPLS Pseudowires on MX Series Devi...Juniper Networks
This document includes an overview of dynamic profiles. It highlights what they do, how they work, and how to configure virtual private LAN service (VPLS) pseudowires using dynamic profiles. Example configurations are highlighted at the end.
Hostless : Simple Connectivity For WiMax DevicesGreen Packet
4G wireless nomadic devices in the form of USB dongles and Pocket modems are fast becoming the preferred devices for wireless broadband access amongst 4G operators. Due to benefits of lower cost and smaller form factor, 4G wireless nomadic devices now account for 39%* of total WiMAX devices shipped in 2010, and this tendency is set to continuously increase in the coming years as 4G becomes pervasive.
Greenpacket 4G nomadic devices now provides an option to allow the use of generic Virtual Ethernet link protocol (USB CDC or RNDIS) to connect with these external host controllers running on any operating systems as an alternative to the traditional CU approach. We call this feature “Hostless” connectivity. Very similar to how an end-user would connect a USB memory stick, this new Hostless feature can be visualized as a generic version of a CU, borrowing the native USB Ethernet driver and management features from the host operating system.
This paper explains the implementation scenarios of both the CU approach and Hostless approach to match specific needs. We will then dive in detail to understand the concept background of Hostless by looking at the system architecture and describing the step-by-step of how Hostless works within the host terminal from an end user perspective.
IBM: Servery a datová úložiště vhodná pro virtualizaci a budování privátních ...Jaroslav Prodelal
Seznámení s novou generací serverů IBM (M4) založených na procesorech Intel Xeon E5. Informace o změnách oproti původní generaci serverů. Ondřej Lorenc (IBM)
Performance and scalability of Informix ultimate warehouse edtion on Intel Xe...Keshav Murthy
Talk at Information on Demand Conference 2011. As part of the Informix Ultimate Warehouse Edition, Informix
Warehouse Accelerator (IWA) transparently provides up to several
orders of a magnitude speed up in query performance for
Informix Dynamic Server (IDS), as well as enormous administrative
cost savings. Combined with the Intel Xeon E7 processor series,
Informix and the Accelerator brings the performance and
scalability of IDS solutions to new levels. This presentation will
give best practices and benefits of IWA and the Intel Xeon E7
processors, and highlight the implications and performance
benefits of running IDS and IWA on these processors, compared
to previous releases of IDS and prior Intel server platforms.
In enterprises today, Wide Area Networks (WANs) are no
longer operating behind the scenes. WANs are central to
the daily operations and core business of organizations large
and small. However, enterprises must choose from a variety
of ways to implement WANs. This eBook examines the
various types of Wide Area Networks (WANs), and why
IT departments gravitate towards specific WAN solutions.
In addition, the paper provides constructive guidelines
for organizations seeking Local Area to Wide Area
Network extension.
Network Configuration Example: Configuring VPLS Pseudowires on MX Series Devi...Juniper Networks
This document includes an overview of dynamic profiles. It highlights what they do, how they work, and how to configure virtual private LAN service (VPLS) pseudowires using dynamic profiles. Example configurations are highlighted at the end.
Hostless : Simple Connectivity For WiMax DevicesGreen Packet
4G wireless nomadic devices in the form of USB dongles and Pocket modems are fast becoming the preferred devices for wireless broadband access amongst 4G operators. Due to benefits of lower cost and smaller form factor, 4G wireless nomadic devices now account for 39%* of total WiMAX devices shipped in 2010, and this tendency is set to continuously increase in the coming years as 4G becomes pervasive.
Greenpacket 4G nomadic devices now provides an option to allow the use of generic Virtual Ethernet link protocol (USB CDC or RNDIS) to connect with these external host controllers running on any operating systems as an alternative to the traditional CU approach. We call this feature “Hostless” connectivity. Very similar to how an end-user would connect a USB memory stick, this new Hostless feature can be visualized as a generic version of a CU, borrowing the native USB Ethernet driver and management features from the host operating system.
This paper explains the implementation scenarios of both the CU approach and Hostless approach to match specific needs. We will then dive in detail to understand the concept background of Hostless by looking at the system architecture and describing the step-by-step of how Hostless works within the host terminal from an end user perspective.
IBM: Servery a datová úložiště vhodná pro virtualizaci a budování privátních ...Jaroslav Prodelal
Seznámení s novou generací serverů IBM (M4) založených na procesorech Intel Xeon E5. Informace o změnách oproti původní generaci serverů. Ondřej Lorenc (IBM)
Performance and scalability of Informix ultimate warehouse edtion on Intel Xe...Keshav Murthy
Talk at Information on Demand Conference 2011. As part of the Informix Ultimate Warehouse Edition, Informix
Warehouse Accelerator (IWA) transparently provides up to several
orders of a magnitude speed up in query performance for
Informix Dynamic Server (IDS), as well as enormous administrative
cost savings. Combined with the Intel Xeon E7 processor series,
Informix and the Accelerator brings the performance and
scalability of IDS solutions to new levels. This presentation will
give best practices and benefits of IWA and the Intel Xeon E7
processors, and highlight the implications and performance
benefits of running IDS and IWA on these processors, compared
to previous releases of IDS and prior Intel server platforms.
Harvard HPC Seminar Series
Theresa Kaltz, PhD, High Performance Technical Computing, FAS, Harvard
Due to the wide availability and low cost of high speed networking, commodity clusters have become the de facto standard for building high performance parallel computing systems. This talk will introduce the leading technology for high speed interconnects called Infiniband and compare its deployment and performance to Ethernet. In addition, some emerging interconnect technologies and trends in cluster networking will be discussed.
Optimizing Performance of your Oracle Database using 8Gb Fibre ChannelEmulex Corporation
James Morle Oracle large-scale implementation specialist discusses keys to deploying 8Gb Fibre Channel using Oracle Database 11g Release 2 and Oracle Linux 6.2. The presentation will include and overview of the Oracle Architecture, how SAN performance can impact database performance, results of a Scale Abilities study comparing 8GFC to 4GFC HBAs.
In this deck from DDN booth at SC18, John Bent from DDN presents: IME - Unlocking the Potential of NVMe.
"DDN’s Infinite Memory Engine (IME) is a scale-out, software-defined, flash storage platform that streamlines the data path for application I/O. IME interfaces directly to applications and secures I/O via a data path that eliminates file system bottlenecks. With IME, architects can realize true flash-cache economics with a storage architecture that separates capacity from performance."
Learn more: https://www.ddn.com/products/ime-flash-native-data-cache/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Engineered Systems: Oracle's Vision for the FutureBob Rhubart
Oracle's Exadata and Exalogic are impressive products in their own right. But working in combination they deliver unparalleled transaction processing performance with up to a 30x increase over existing legacy systems, with the lowest cost of ownership over a 3 or 5 year basis than any other hardware. In this session you'll learn how to leverage Oracle's Engineered Systems within your enterprise to deliver record-breaking performance at the lowest TCO.
Readying the campus for the internet of things (io t) - Networkshop44Jisc
Avaya, alongside Leeds Beckett University, will look at a better way to build the smart campus and ready it for the agility and security demands placed upon it by the IoT. Can vastly reducing the number of protocols required to build a campus network lead to reduction in complexity and simultaneously increase security, agility, resilience and performance?
Achieving genuine elastic multitenancy with the Waratek Cloud VM for Java : J...JAX London
John Matthew Holt, Waratek CTO, explains how Waratek Cloud VM for Java transforms the JVM with key Cloud characteristics including genuine multitenancy, granular elasticity, instant scalability, realtime metering and prioritization of resources by application, to futureproof your Java investment in the age of Cloud computing.
Introduction: This workshop will provide a hands-on introduction to Machine Learning (ML) with an overview of Deep Learning (DL).
Format: An introductory lecture on several supervised and unsupervised ML techniques followed by light introduction to DL and short discussion what is current state-of-the-art. Several python code samples using the scikit-learn library will be introduced that users will be able to run in the Cloudera Data Science Workbench (CDSW).
Objective: To provide a quick and short hands-on introduction to ML with python’s scikit-learn library. The environment in CDSW is interactive and the step-by-step guide will walk you through setting up your environment, to exploring datasets, training and evaluating models on popular datasets. By the end of the crash course, attendees will have a high-level understanding of popular ML algorithms and the current state of DL, what problems they can solve, and walk away with basic hands-on experience training and evaluating ML models.
Prerequisites: For the hands-on portion, registrants must bring a laptop with a Chrome or Firefox web browser. These labs will be done in the cloud, no installation needed. Everyone will be able to register and start using CDSW after the introductory lecture concludes (about 1hr in). Basic knowledge of python highly recommended.
Floating on a RAFT: HBase Durability with Apache RatisDataWorks Summit
In a world with a myriad of distributed storage systems to choose from, the majority of Apache HBase clusters still rely on Apache HDFS. Theoretically, any distributed file system could be used by HBase. One major reason HDFS is predominantly used are the specific durability requirements of HBase's write-ahead log (WAL) and HDFS providing that guarantee correctly. However, HBase's use of HDFS for WALs can be replaced with sufficient effort.
This talk will cover the design of a "Log Service" which can be embedded inside of HBase that provides a sufficient level of durability that HBase requires for WALs. Apache Ratis (incubating) is a library-implementation of the RAFT consensus protocol in Java and is used to build this Log Service. We will cover the design choices of the Ratis Log Service, comparing and contrasting it to other log-based systems that exist today. Next, we'll cover how the Log Service "fits" into HBase and the necessary changes to HBase which enable this. Finally, we'll discuss how the Log Service can simplify the operational burden of HBase.
Tracking Crime as It Occurs with Apache Phoenix, Apache HBase and Apache NiFiDataWorks Summit
Utilizing Apache NiFi we read various open data REST APIs and camera feeds to ingest crime and related data real-time streaming it into HBase and Phoenix tables. HBase makes an excellent storage option for our real-time time series data sources. We can immediately query our data utilizing Apache Zeppelin against Phoenix tables as well as Hive external tables to HBase.
Apache Phoenix tables also make a great option since we can easily put microservices on top of them for application usage. I have an example Spring Boot application that reads from our Philadelphia crime table for front-end web applications as well as RESTful APIs.
Apache NiFi makes it easy to push records with schemas to HBase and insert into Phoenix SQL tables.
Resources:
https://community.hortonworks.com/articles/54947/reading-opendata-json-and-storing-into-phoenix-tab.html
https://community.hortonworks.com/articles/56642/creating-a-spring-boot-java-8-microservice-to-read.html
https://community.hortonworks.com/articles/64122/incrementally-streaming-rdbms-data-to-your-hadoop.html
HBase Tales From the Trenches - Short stories about most common HBase operati...DataWorks Summit
Whilst HBase is the most logical answer for use cases requiring random, realtime read/write access to Big Data, it may not be so trivial to design applications that make most of its use, neither the most simple to operate. As it depends/integrates with other components from Hadoop ecosystem (Zookeeper, HDFS, Spark, Hive, etc) or external systems ( Kerberos, LDAP), and its distributed nature requires a "Swiss clockwork" infrastructure, many variables are to be considered when observing anomalies or even outages. Adding to the equation there's also the fact that HBase is still an evolving product, with different release versions being used currently, some of those can carry genuine software bugs. On this presentation, we'll go through the most common HBase issues faced by different organisations, describing identified cause and resolution action over my last 5 years supporting HBase to our heterogeneous customer base.
Optimizing Geospatial Operations with Server-side Programming in HBase and Ac...DataWorks Summit
LocationTech GeoMesa enables spatial and spatiotemporal indexing and queries for HBase and Accumulo. In this talk, after an overview of GeoMesa’s capabilities in the Cloudera ecosystem, we will dive into how GeoMesa leverages Accumulo’s Iterator interface and HBase’s Filter and Coprocessor interfaces. The goal will be to discuss both what spatial operations can be pushed down into the distributed database and also how the GeoMesa codebase is organized to allow for consistent use across the two database systems.
OCLC has been using HBase since 2012 to enable single-search-box access to over a billion items from your library and the world’s library collection. This talk will provide an overview of how HBase is structured to provide this information and some of the challenges they have encountered to scale to support the world catalog and how they have overcome them.
Many individuals/organizations have a desire to utilize NoSQL technology, but often lack an understanding of how the underlying functional bits can be utilized to enable their use case. This situation can result in drastic increases in the desire to put the SQL back in NoSQL.
Since the initial commit, Apache Accumulo has provided a number of examples to help jumpstart comprehension of how some of these bits function as well as potentially help tease out an understanding of how they might be applied to a NoSQL friendly use case. One very relatable example demonstrates how Accumulo could be used to emulate a filesystem (dirlist).
In this session we will walk through the dirlist implementation. Attendees should come away with an understanding of the supporting table designs, a simple text search supporting a single wildcard (on file/directory names), and how the dirlist elements work together to accomplish its feature set. Attendees should (hopefully) also come away with a justification for sometimes keeping the SQL out of NoSQL.
HBase Global Indexing to support large-scale data ingestion at UberDataWorks Summit
Data serves as the platform for decision-making at Uber. To facilitate data driven decisions, many datasets at Uber are ingested in a Hadoop Data Lake and exposed to querying via Hive. Analytical queries joining various datasets are run to better understand business data at Uber.
Data ingestion, at its most basic form, is about organizing data to balance efficient reading and writing of newer data. Data organization for efficient reading involves factoring in query patterns to partition data to ensure read amplification is low. Data organization for efficient writing involves factoring the nature of input data - whether it is append only or updatable.
At Uber we ingest terabytes of many critical tables such as trips that are updatable. These tables are fundamental part of Uber's data-driven solutions, and act as the source-of-truth for all the analytical use-cases across the entire company. Datasets such as trips constantly receive updates to the data apart from inserts. To ingest such datasets we need a critical component that is responsible for bookkeeping information of the data layout, and annotates each incoming change with the location in HDFS where this data should be written. This component is called as Global Indexing. Without this component, all records get treated as inserts and get re-written to HDFS instead of being updated. This leads to duplication of data, breaking data correctness and user queries. This component is key to scaling our jobs where we are now handling greater than 500 billion writes a day in our current ingestion systems. This component will need to have strong consistency and provide large throughputs for index writes and reads.
At Uber, we have chosen HBase to be the backing store for the Global Indexing component and is a critical component in allowing us to scaling our jobs where we are now handling greater than 500 billion writes a day in our current ingestion systems. In this talk, we will discuss data@Uber and expound more on why we built the global index using Apache Hbase and how this helps to scale out our cluster usage. We’ll give details on why we chose HBase over other storage systems, how and why we came up with a creative solution to automatically load Hfiles directly to the backend circumventing the normal write path when bootstrapping our ingestion tables to avoid QPS constraints, as well as other learnings we had bringing this system up in production at the scale of data that Uber encounters daily.
Scaling Cloud-Scale Translytics Workloads with Omid and PhoenixDataWorks Summit
Recently, Apache Phoenix has been integrated with Apache (incubator) Omid transaction processing service, to provide ultra-high system throughput with ultra-low latency overhead. Phoenix has been shown to scale beyond 0.5M transactions per second with sub-5ms latency for short transactions on industry-standard hardware. On the other hand, Omid has been extended to support secondary indexes, multi-snapshot SQL queries, and massive-write transactions.
These innovative features make Phoenix an excellent choice for translytics applications, which allow converged transaction processing and analytics. We share the story of building the next-gen data tier for advertising platforms at Verizon Media that exploits Phoenix and Omid to support multi-feed real-time ingestion and AI pipelines in one place, and discuss the lessons learned.
Building the High Speed Cybersecurity Data Pipeline Using Apache NiFiDataWorks Summit
Cybersecurity requires an organization to collect data, analyze it, and alert on cyber anomalies in near real-time. This is a challenging endeavor when considering the variety of data sources which need to be collected and analyzed. Everything from application logs, network events, authentications systems, IOT devices, business events, cloud service logs, and more need to be taken into consideration. In addition, multiple data formats need to be transformed and conformed to be understood by both humans and ML/AI algorithms.
To solve this problem, the Aetna Global Security team developed the Unified Data Platform based on Apache NiFi, which allows them to remain agile and adapt to new security threats and the onboarding of new technologies in the Aetna environment. The platform currently has over 60 different data flows with 95% doing real-time ETL and handles over 20 billion events per day. In this session learn from Aetna’s experience building an edge to AI high-speed data pipeline with Apache NiFi.
In the healthcare sector, data security, governance, and quality are crucial for maintaining patient privacy and ensuring the highest standards of care. At Florida Blue, the leading health insurer of Florida serving over five million members, there is a multifaceted network of care providers, business users, sales agents, and other divisions relying on the same datasets to derive critical information for multiple applications across the enterprise. However, maintaining consistent data governance and security for protected health information and other extended data attributes has always been a complex challenge that did not easily accommodate the wide range of needs for Florida Blue’s many business units. Using Apache Ranger, we developed a federated Identity & Access Management (IAM) approach that allows each tenant to have their own IAM mechanism. All user groups and roles are propagated across the federation in order to determine users’ data entitlement and access authorization; this applies to all stages of the system, from the broadest tenant levels down to specific data rows and columns. We also enabled audit attributes to ensure data quality by documenting data sources, reasons for data collection, date and time of data collection, and more. In this discussion, we will outline our implementation approach, review the results, and highlight our “lessons learned.”
Presto: Optimizing Performance of SQL-on-Anything EngineDataWorks Summit
Presto, an open source distributed SQL engine, is widely recognized for its low-latency queries, high concurrency, and native ability to query multiple data sources. Proven at scale in a variety of use cases at Airbnb, Bloomberg, Comcast, Facebook, FINRA, LinkedIn, Lyft, Netflix, Twitter, and Uber, in the last few years Presto experienced an unprecedented growth in popularity in both on-premises and cloud deployments over Object Stores, HDFS, NoSQL and RDBMS data stores.
With the ever-growing list of connectors to new data sources such as Azure Blob Storage, Elasticsearch, Netflix Iceberg, Apache Kudu, and Apache Pulsar, recently introduced Cost-Based Optimizer in Presto must account for heterogeneous inputs with differing and often incomplete data statistics. This talk will explore this topic in detail as well as discuss best use cases for Presto across several industries. In addition, we will present recent Presto advancements such as Geospatial analytics at scale and the project roadmap going forward.
Introducing MlFlow: An Open Source Platform for the Machine Learning Lifecycl...DataWorks Summit
Specialized tools for machine learning development and model governance are becoming essential. MlFlow is an open source platform for managing the machine learning lifecycle. Just by adding a few lines of code in the function or script that trains their model, data scientists can log parameters, metrics, artifacts (plots, miscellaneous files, etc.) and a deployable packaging of the ML model. Every time that function or script is run, the results will be logged automatically as a byproduct of those lines of code being added, even if the party doing the training run makes no special effort to record the results. MLflow application programming interfaces (APIs) are available for the Python, R and Java programming languages, and MLflow sports a language-agnostic REST API as well. Over a relatively short time period, MLflow has garnered more than 3,300 stars on GitHub , almost 500,000 monthly downloads and 80 contributors from more than 40 companies. Most significantly, more than 200 companies are now using MLflow. We will demo MlFlow Tracking , Project and Model components with Azure Machine Learning (AML) Services and show you how easy it is to get started with MlFlow on-prem or in the cloud.
Extending Twitter's Data Platform to Google CloudDataWorks Summit
Twitter's Data Platform is built using multiple complex open source and in house projects to support Data Analytics on hundreds of petabytes of data. Our platform support storage, compute, data ingestion, discovery and management and various tools and libraries to help users for both batch and realtime analytics. Our DataPlatform operates on multiple clusters across different data centers to help thousands of users discover valuable insights. As we were scaling our Data Platform to multiple clusters, we also evaluated various cloud vendors to support use cases outside of our data centers. In this talk we share our architecture and how we extend our data platform to use cloud as another datacenter. We walk through our evaluation process, challenges we faced supporting data analytics at Twitter scale on cloud and present our current solution. Extending Twitter's Data platform to cloud was complex task which we deep dive in this presentation.
Event-Driven Messaging and Actions using Apache Flink and Apache NiFiDataWorks Summit
At Comcast, our team has been architecting a customer experience platform which is able to react to near-real-time events and interactions and deliver appropriate and timely communications to customers. By combining the low latency capabilities of Apache Flink and the dataflow capabilities of Apache NiFi we are able to process events at high volume to trigger, enrich, filter, and act/communicate to enhance customer experiences. Apache Flink and Apache NiFi complement each other with their strengths in event streaming and correlation, state management, command-and-control, parallelism, development methodology, and interoperability with surrounding technologies. We will trace our journey from starting with Apache NiFi over three years ago and our more recent introduction of Apache Flink into our platform stack to handle more complex scenarios. In this presentation we will compare and contrast which business and technical use cases are best suited to which platform and explore different ways to integrate the two platforms into a single solution.
Securing Data in Hybrid on-premise and Cloud Environments using Apache RangerDataWorks Summit
Companies are increasingly moving to the cloud to store and process data. One of the challenges companies have is in securing data across hybrid environments with easy way to centrally manage policies. In this session, we will talk through how companies can use Apache Ranger to protect access to data both in on-premise as well as in cloud environments. We will go into details into the challenges of hybrid environment and how Ranger can solve it. We will also talk through how companies can further enhance the security by leveraging Ranger to anonymize or tokenize data while moving into the cloud and de-anonymize dynamically using Apache Hive, Apache Spark or when accessing data from cloud storage systems. We will also deep dive into the Ranger’s integration with AWS S3, AWS Redshift and other cloud native systems. We will wrap it up with an end to end demo showing how policies can be created in Ranger and used to manage access to data in different systems, anonymize or de-anonymize data and track where data is flowing.
Big Data Meets NVM: Accelerating Big Data Processing with Non-Volatile Memory...DataWorks Summit
Advanced Big Data Processing frameworks have been proposed to harness the fast data transmission capability of Remote Direct Memory Access (RDMA) over high-speed networks such as InfiniBand, RoCEv1, RoCEv2, iWARP, and OmniPath. However, with the introduction of the Non-Volatile Memory (NVM) and NVM express (NVMe) based SSD, these designs along with the default Big Data processing models need to be re-assessed to discover the possibilities of further enhanced performance. In this talk, we will present, NRCIO, a high-performance communication runtime for non-volatile memory over modern network interconnects that can be leveraged by existing Big Data processing middleware. We will show the performance of non-volatile memory-aware RDMA communication protocols using our proposed runtime and demonstrate its benefits by incorporating it into a high-performance in-memory key-value store, Apache Hadoop, Tez, Spark, and TensorFlow. Evaluation results illustrate that NRCIO can achieve up to 3.65x performance improvement for representative Big Data processing workloads on modern data centers.
Background: Some early applications of Computer Vision in Retail arose from e-commerce use cases - but increasingly, it is being used in physical stores in a variety of new and exciting ways, such as:
● Optimizing merchandising execution, in-stocks and sell-thru
● Enhancing operational efficiencies, enable real-time customer engagement
● Enhancing loss prevention capabilities, response time
● Creating frictionless experiences for shoppers
Abstract: This talk will cover the use of Computer Vision in Retail, the implications to the broader Consumer Goods industry and share business drivers, use cases and benefits that are unfolding as an integral component in the remaking of an age-old industry.
We will also take a ‘peek under the hood’ of Computer Vision and Deep Learning, sharing technology design principles and skill set profiles to consider before starting your CV journey.
Deep learning has matured considerably in the past few years to produce human or superhuman abilities in a variety of computer vision paradigms. We will discuss ways to recognize these paradigms in retail settings, collect and organize data to create actionable outcomes with the new insights and applications that deep learning enables.
We will cover the basics of object detection, then move into the advanced processing of images describing the possible ways that a retail store of the near future could operate. Identifying various storefront situations by having a deep learning system attached to a camera stream. Such things as; identifying item stocks on shelves, a shelf in need of organization, or perhaps a wandering customer in need of assistance.
We will also cover how to use a computer vision system to automatically track customer purchases to enable a streamlined checkout process, and how deep learning can power plausible wardrobe suggestions based on what a customer is currently wearing or purchasing.
Finally, we will cover the various technologies that are powering these applications today. Deep learning tools for research and development. Production tools to distribute that intelligence to an entire inventory of all the cameras situation around a retail location. Tools for exploring and understanding the new data streams produced by the computer vision systems.
By the end of this talk, attendees should understand the impact Computer Vision and Deep Learning are having in the Consumer Goods industry, key use cases, techniques and key considerations leaders are exploring and implementing today.
Big Data Genomics: Clustering Billions of DNA Sequences with Apache SparkDataWorks Summit
Whole genome shotgun based next generation transcriptomics and metagenomics studies often generate 100 to 1000 gigabytes (GB) sequence data derived from tens of thousands of different genes or microbial species. De novo assembling these data requires an ideal solution that both scales with data size and optimizes for individual gene or genomes. Here we developed an Apache Spark-based scalable sequence clustering application, SparkReadClust (SpaRC), that partitions the reads based on their molecule of origin to enable downstream assembly optimization. SpaRC produces high clustering performance on transcriptomics and metagenomics test datasets from both short read and long read sequencing technologies. It achieved a near linear scalability with respect to input data size and number of compute nodes. SpaRC can run on different cloud computing environments without modifications while delivering similar performance. In summary, our results suggest SpaRC provides a scalable solution for clustering billions of reads from the next-generation sequencing experiments, and Apache Spark represents a cost-effective solution with rapid development/deployment cycles for similar big data genomics problems.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
2. Introducing Solarflare
• High-performance software
and hardware for 10GbE
server networking
• Mission-critical applications
– Securities and trading
“Solarflare’s product, EnterpriseOnload is a
– HPC robust, rigorously tested and fully supported
solution that addresses our demanding support
– Storage and service level requirements. In addition to
providing the highest-performance, lowest-
– Cloud/Web 2.0 latency hardware, Solarflare’s unique and
• Leader in financial services innovative application acceleration software
can be used to deploy quickly without any need
• Partnerships with Arista, to re-write our applications.”
Cisco, Couchbase, IBM, Andrew Bach
Juniper, Redhat, Oracle, Senior Vice President of Network Services for NYSE Euronext
VMware
Slide 2 | PROPRIETARY AND CONFIDENTIAL
3. Data is Growing Faster than Moore’s Law
Business Analytics Requires a New Approach
Data Volume
Growing 44x
2010:
1.2
Zettabytes 2020: 35.2
Zettabytes IDC
Digital Universe
Study 2011
The Network is the Bottleneck
Slide 3 | PROPRIETARY AND CONFIDENTIAL
Source: IDC Digital Universe Study, sponsored by EMC, May 2010
4. But Computing is More than Just Moore’s Law
• SandyBridge-Based
Servers/ Aka Romley
Motherboards
• Intel Integrated I/0
Up to 4 channels
DDR3 1600 Mhz
• Reduced bottlenecks
memory
• Increase performance
Up to 8 cores
Up to 20 MB cache
up to 80%
Integrated
PCI Express*
3.0
Up to 40 lanes
per socket
Can more than Double
I/O Performance1
Xeon
Direct Data I/O (DDIO) 2600
Family
Xeon
5600
Series
[ Transactions per second ]
Slide 4 | PROPRIETARY AND CONFIDENTIAL
5. SFN6122F & Xeon E5-2600 Deliver Winning Combination
• SFN6122F single-stream
latency is superb over all
message rates on Romley
platforms, right up to the
point of CPU core utilization
• Ultra-low jitter (sub-micro at
99Percentile)
• Benefits from Intel® Data
Direct I/O (DDIO) and
chipset IO – memory
bandwidth
• Message rate headroom –
sfnt-stream / openonload-201109-u2
20Mpps with 4x sfnt-streams
“Westmere” = 2x Xeon 5687 (3.6GHz)
“Romley” = 2x E5-2687W (3.1GHz) – DDR 1333
Slide 5 | PROPRIETARY AND CONFIDENTIAL
6. Standard Server I/O Networking: RSS
• RSS spreads flows
randomly over cores
NIC receive-side scaling • Packets within a flow go to
VNIC VNIC VNIC VNIC same core
• Works well when
– Connections
ISR ISR ISR ISR
are long lived
– One thread per
connection
App App App App
– And the thread
happens to run
core0 core1 core2 core3 on the right
core
– Great for
network
benchmarks
Slide 6 | PROPRIETARY AND CONFIDENTIAL
7. Smarter Server I/O Networking: Flow Affinity
NIC receive-side scaling • Hardware deterministically
VNIC VNIC VNIC VNIC
directs flows to the ideal
core for handling the load
• Google developed
ISR ISR ISR ISR Receive packet steering
(RPS)
• Solarflare developed
Accelerated RFS for
App App App App multiqueue hardware
core0 core1 core2 core3 • Supported today on
Solarflare adapters
Slide 7 | PROPRIETARY AND CONFIDENTIAL
8. Cisco and Solarflare Achieve Dramatic Latency Reductions
for Interactive Web 2.0 Applications
Slide 8 | PROPRIETARY AND CONFIDENTIAL