Hadoop as we know is a Java based massive scalable distributed framework for processing large data (several peta bytes) across a cluster (1000s) of commodity computers.
The Hadoop ecosystem has grown over the last few years and there is a lot of jargon in terms of tools as well as frameworks.
Many organizations are investing & innovating heavily in Hadoop to make it better and easier. The mind map on the next slide should be useful to get a high level picture of the ecosystem.
Introduction to Hadoop Ecosystem was presented to Lansing Java User Group on 2/17/2015 by Vijay Mandava and Lan Jiang. The demo was built on top of HDP 2.2 and AWS cloud.
eBay has one of the largest Hadoop clusters in the industry with many petabytes of data. This talk will give an overview of how Hadoop and HBase have been used within eBay, the lessons we have learned from supporting large-scale production clusters, as well as how we plan to use and improve Hadoop and HBase moving forward. Specific use cases, production issues and platform improvement work will be discussed.
Introduction To Hadoop Administration - SpringPeopleSpringPeople
The Hadoop framework is used by major players including Google, Yahoo and IBM, largely for applications involving search engines and advertising. The popularity of Hadoop is juts increasing exponentially.
Introduction to Hadoop Ecosystem was presented to Lansing Java User Group on 2/17/2015 by Vijay Mandava and Lan Jiang. The demo was built on top of HDP 2.2 and AWS cloud.
eBay has one of the largest Hadoop clusters in the industry with many petabytes of data. This talk will give an overview of how Hadoop and HBase have been used within eBay, the lessons we have learned from supporting large-scale production clusters, as well as how we plan to use and improve Hadoop and HBase moving forward. Specific use cases, production issues and platform improvement work will be discussed.
Introduction To Hadoop Administration - SpringPeopleSpringPeople
The Hadoop framework is used by major players including Google, Yahoo and IBM, largely for applications involving search engines and advertising. The popularity of Hadoop is juts increasing exponentially.
How to calculate the cost of a Hadoop infrastructure on Amazon AWS, given some data volume estimates and the rough use case ?
Presentation attempts to compare the different options available on AWS.
The TCO Calculator - Estimate the True Cost of Hadoop MapR Technologies
http://bit.ly/1wsAuRS - There are many hidden costs for Apache Hadoop that have different effects across different Hadoop distributions. With the new MapR TCO calculator organisations have a simple and reliable tool that is based on facts to compare costs.
( EMC World 2012 ) :Apache Hadoop is now enterprise ready. This session reviews the features/roadmap of Hadoop. We will review some of the key capabilities of GPHD 1.x and our plans for 2012.
These slides provide highlights of my book HDInsight Essentials. Book link is here: http://www.packtpub.com/establish-a-big-data-solution-using-hdinsight/book
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.
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.
This presentation is based on a project for installing Apache Hadoop on a single node cluster along with Apache Hive for processing of structured data.
Build Big Data Enterprise solutions faster on Azure HDInsightDataWorks Summit
Hadoop and Spark are big data frameworks used to extract useful span a variety of scenarios from ingestion, data prep, data management, processing, analyzing and visualizing data. Each step requires specialized toolsets to be productive. In this talk I will share solution examples in the Big Data ecosystem such as Cask, StreamSets, Datameer, AtScale, Dataiku on Microsoft’s Azure HDInsight that simplify your Big Data solutions. Azure HDInsight is a cloud Spark and Hadoop service for the enterprise and take advantage of all the benefits of HDInsight giving you the best of both worlds. Join this session for practical information that will enable faster time to insights for you and your business.
This presentation discusses the follow topics
What is Hadoop?
Need for Hadoop
History of Hadoop
Hadoop Overview
Advantages and Disadvantages of Hadoop
Hadoop Distributed File System
Comparing: RDBMS vs. Hadoop
Advantages and Disadvantages of HDFS
Hadoop frameworks
Modules of Hadoop frameworks
Features of 'Hadoop‘
Hadoop Analytics Tools
This slide gives a simple and purposeful knowledge about popular Hadoop platforms.
From simple definition to importance of Hadoop in modern era the presentation also introduces Hadoop service providers along with its core components.
Do go through it once and comment below with your feedback. I am sure that this slide will help many in presenting basics of Hadoop for their projects or business purpose.
The crisp information has been generated after going through detailed information available on internet as well as research papers
How to calculate the cost of a Hadoop infrastructure on Amazon AWS, given some data volume estimates and the rough use case ?
Presentation attempts to compare the different options available on AWS.
The TCO Calculator - Estimate the True Cost of Hadoop MapR Technologies
http://bit.ly/1wsAuRS - There are many hidden costs for Apache Hadoop that have different effects across different Hadoop distributions. With the new MapR TCO calculator organisations have a simple and reliable tool that is based on facts to compare costs.
( EMC World 2012 ) :Apache Hadoop is now enterprise ready. This session reviews the features/roadmap of Hadoop. We will review some of the key capabilities of GPHD 1.x and our plans for 2012.
These slides provide highlights of my book HDInsight Essentials. Book link is here: http://www.packtpub.com/establish-a-big-data-solution-using-hdinsight/book
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.
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.
This presentation is based on a project for installing Apache Hadoop on a single node cluster along with Apache Hive for processing of structured data.
Build Big Data Enterprise solutions faster on Azure HDInsightDataWorks Summit
Hadoop and Spark are big data frameworks used to extract useful span a variety of scenarios from ingestion, data prep, data management, processing, analyzing and visualizing data. Each step requires specialized toolsets to be productive. In this talk I will share solution examples in the Big Data ecosystem such as Cask, StreamSets, Datameer, AtScale, Dataiku on Microsoft’s Azure HDInsight that simplify your Big Data solutions. Azure HDInsight is a cloud Spark and Hadoop service for the enterprise and take advantage of all the benefits of HDInsight giving you the best of both worlds. Join this session for practical information that will enable faster time to insights for you and your business.
This presentation discusses the follow topics
What is Hadoop?
Need for Hadoop
History of Hadoop
Hadoop Overview
Advantages and Disadvantages of Hadoop
Hadoop Distributed File System
Comparing: RDBMS vs. Hadoop
Advantages and Disadvantages of HDFS
Hadoop frameworks
Modules of Hadoop frameworks
Features of 'Hadoop‘
Hadoop Analytics Tools
This slide gives a simple and purposeful knowledge about popular Hadoop platforms.
From simple definition to importance of Hadoop in modern era the presentation also introduces Hadoop service providers along with its core components.
Do go through it once and comment below with your feedback. I am sure that this slide will help many in presenting basics of Hadoop for their projects or business purpose.
The crisp information has been generated after going through detailed information available on internet as well as research papers
Presented By :- Rahul Sharma
B-Tech (Cloud Technology & Information Security)
2nd Year 4th Sem.
Poornima University (I.Nurture),Jaipur
www.facebook.com/rahulsharmarh18
View the Big Data Technology Stack in a nutshell. This Big Data Technology Stack deck covers the different layers of the Big Data world and summarizes the major technologies in vogue today.
Enough taking about Big data and Hadoop and let’s see how Hadoop works in action.
We will locate a real dataset, ingest it to our cluster, connect it to a database, apply some queries and data transformations on it , save our result and show it via BI tool.
Overview of Big data, Hadoop and Microsoft BI - version1Thanh Nguyen
Big Data and advanced analytics are critical topics for executives today. But many still aren't sure how to turn that promise into value. This presentation provides an overview of 16 examples and use cases that lay out the different ways companies have approached the issue and found value: everything from pricing flexibility to customer preference management to credit risk analysis to fraud protection and discount targeting. For the latest on Big Data & Advanced Analytics: http://mckinseyonmarketingandsales.com/topics/big-data
Overview of big data & hadoop version 1 - Tony NguyenThanh Nguyen
Overview of Big data, Hadoop and Microsoft BI - version1
Big Data and Hadoop are emerging topics in data warehousing for many executives, BI practices and technologists today. However, many people still aren't sure how Big Data and existing Data warehouse can be married and turn that promise into value. This presentation provides an overview of Big Data technology and how Big Data can fit to the current BI/data warehousing context.
http://www.quantumit.com.au
http://www.evisional.com
We are the Technology arm of Razorfish India and specialize in Outsourced Product and Application Development that helps companies around the world architect, develop and deploy applications on the Cloud, accessible on Web and Mobile platforms. Started in 2005 and acquired by Publicis Groupe in 2013, Neev Technologies is now part of Razorfish. Some of our top clients are Google, Monsanto, K12, Decathlon, Hershey's, Ashoka and Wipro Technologies.
- 2 year old Adobe CQ practice.
- An Adobe CQ Centre of Excellence in Bangalore, India.
10 member Adobe CQ expert team.
- Cumulative experience of over 11 man years in AdobeCQ development and support.
- Some of our customers include a global auto giant, a multinational technology company named among Top 100 Global Innovators by Thomson Reuters, a leading multinational Auto and truck parts manufacturer and Australia’s largest Pay Television Company.
- Successfully delivered Adobe CQ development and 24/7 support services for the aforementioned clients.
What is Data Modelling?
Why Data Modeling?
Data Modeling in Hybris
Type System in Hybris
- Atomic Types
- Item Types
- Relation Types
- Enumeration Types
- Collection Types
- Map Types
Deployment & How it Works?
References
Neev has an in-house expert UI design team which gives an edge over other players in the industry. Neev has experience developing Software Development Kits (SDKs) for mobile games and has developed gaming apps and SDKs for companies in different parts of the globe.
Some of our work includes:
- Building a Custom SDK on iOS for Social Gaming, with Customizable Leaderboards by Location
- An Exciting 3D Gaming Application for iPhone/iPad
- An Android-based SDK for Game Developers to Enable Social Gaming
- A ‘Top-of-the-Charts’ Car Parking Game Based on Android and iOS
Building A Jewelry e-store - Now, sell your jewelry to the world!Neev Technologies
- Build a new B2B portal, catering to Diamond Merchants, traders and Jewelry makers.
- Build in scalability so that the B2B eStore can be easily extended into a B2C eCommerce portal.
- Redefine user experience.
- Improve Customer experience along with enhanced customer support and automated response mechanisms.
This presentation includes:
- Why performance matters for digital businesses?
- Use Cases for performance / load testing
- Load Test Design Considerations
- Tools and Technologies
- Methodology and Approach
- Activities and Deliverables
- Load Testing Success Stories
- Neev follows the best coding practices to provide the highest quality software.
- Reusability helps easily maintain an application.
If the application code is maintainable, then it is more flexible for new and challenging requirements.
- In iOS-based Apps, custom fonts can be used in the many places. So, instead of copying the code repetitively, a better approach is to reuse.
- iOS, Apple’s mobile operating system, doesn’t support all fonts. Thus, in order to use a custom font, we would need to include that custom font in the project we work on.
Check out our experience integrating Google Maps with various web and mobile applications we have built. The maps are used for different purposes in each app, be it for GPS-based tracking, Geo-targeting, etc.
- Application Performance Management (APM) solutions manage the performance, capacity and availability of dynamic applications from the Cloud or a traditional data center.
- APM aims to diagnose application performance issues to ensure that an expected level of service is maintained.
- As part of this monitoring, two specific sets of parameters are closely tracked.
- The first being performance metrics that define end user experience for an application, the second being metrics for computational resources used by the application for a specific load.
- APM solutions not only monitor and analyze logs but also diagnose problems and assist in pro-active performance management.
- APM is most commonly used for web applications where its components can also be individually monitored to pinpoint reasons for possible delays in the system.
- Neev has partnered with APM solutions like AppDynamics and Splunk to offer them to our customers.
- Neev has extensive experience in AngularJS with a combined experience of more than 10 man years.
- AngularJS is one of the leading model view frameworks that is in use today for developing dynamic web apps and Hybrid mobile apps and is actively supported by Google.
- AngularJS is used by popular sites like Stackoverflow and by websites of NASA, MSNBC and Vanity Fair.
Mobile-enabling a site makes it accessible on different handheld devices by automatically fitting into the display of that device.
At Neev, we specialize in building responsive site designs wherein the site automatically fits into the display of the device used.
We also design independent mobile and tablet specific micro-sites.
- We, at Neev, strongly believe in the transformational power of Business Intelligence.
Backed with experience, Neev can help:
- Analyze business requirements
- Assess how a BI tool can help
- Implement the solution
- Generate reports and further enhancements
- We have over the years built deep expertise in using various BI tools to aid organizational growth.
- The tools we use include IBM Cognos TM1, Oracle Business Intelligence Enterprise Edition, Pentaho, Tableau,Oracle Endeca among others.
Approach for Increasing eCommerce Store Revenues through Conversion Strategy
What can be achieved?
- Gain better conversions/revenue
- Gain more audience
- Engage with buyers better
- Improve Brand image
We propose to build a Digital Mirror experience for Luxury retail businesses. The deck depicts the setup for a jewelry store. We can develop similar experiences for retailers dealing with other products like bags, watches, etc.
Today, there are many companies that are open to the idea of sharing and actively promote Open Source projects.
We, at Neev, not only promote Open Source, but actively utilize Open Source wherever possible in order to increase ROI for customers and decrease time-to-market.
It is the best way to give something back to the community. Neev has, from time-to-time, given back to the Open Source community through contributions that aim to solve critical issues faced by the IT community.
Here are 18 of our innovative Open Source tools.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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.
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
2. About Neev
Web
Mobile
Magento eCommerce
SaaS Applications
Video Streaming Portals
Rich Internet Apps
Custom Development
iPhone
Android
Windows Phone 7
HTML5 Apps
Cloud
AWS Consulting Partner
Rackspace
Joyent
Heroku
Google App Engine
Key Company Highlights
250+ team with experience in
managing
offshore, distributed
development.
Neev Technologies
established in Jan ’05
VC Funding in 2009 By Basil
Partners
User Interface Design and User Experience Design
Part of Publicis Groupe
Member of NASSCOM.
Performance Consulting Practices
Development Centers in
Bangalore and Pune.
Quality Assurance & Testing
Outsourced Product Development
Offices at
Bangalore, USA, Delhi, Pune,
Singapore and Stockholm.
3. Hadoop in a Nutshell : An Overview
• Hadoop as we know is a Java based massive scalable distributed
framework for processing large data (several peta bytes) across a
cluster (1000s) of commodity computers.
• The Hadoop ecosystem has grown over the last few years and
there is a lot of jargon in terms of tools as well as frameworks.
• Many organizations are investing & innovating heavily in Hadoop
to make it better and easier. The mind map on the next slide
should be useful to get a high level picture of the ecosystem.
5. Hadoop Core
The core consists of
1) HDFS or Hadoop Distributed File System is designed to run on a commodity
cluster of machines. It is highly fault tolerant and is useful for processing
large data sets. Files stored in HDFS are organized into blocks, typically
64MB or 128MB, and stored across nodes in the cluster. Each block of data
is also replicated across more nodes generally 3 to avoid data loss in case of
failure
2) MapReduce is a software framework for processing a large data set(peta
byte scale), on a cluster of commodity hardware. When MapReduce is
run, Hadoop splits the input and locates the nodes on the cluster. The
actual jobs are then run at or close to the node where the data is residing
so that the data is as close to the computation node. This stops the network
from getting flooded with data or becoming a bottleneck
6. Hadoop : Distributions
Hadoop Distribution
Description
Apache
Purely Open Source maintained by Apache
Cloudera
The leading distribution with capabilities like
management, security, high availability and integration
with many other solutions
for
software
and
hardware.
HortonWorks
Only version for Windows Servers
MapR
unique features like mounting over NFS
GreenPlum
Uses an SQL based Database Engine
Intel
Intel’s open source version
AmazonEMR
Amazon’s version of MapReduce called Elastic
MapReduce, a part of AWS. EMR allows a Hadoop
cluster to be deployed and MapReduce jobs to be run
in the cloud with just a few clicks.
7. Related Projects
Related Projects
Description
Avro
Data serialization framework that is useful in Hadoop and other
systems
Framework for analyzing large data set using a high level language
called Pig Latin
Hive is a data warehouse framework that stores querying of large
data sets stored in Hadoop
Pig
Hive
Hbase
Mahout
Yarn
Ozzie
Flume
Sqoop
Cascading
HBase is a distributed scalable data store based on Hadoop
Mahout is a scalable Machine learning library
YARN is the next generation of MapReduce
Involves running a sequence of MapReduce and other pre and post processing jobs at scheduled times or based on data availability
A distributed, reliable and available service for collecting,
aggregating and moving log data to HDFS
Designed for transferring data between Hadoop and relational
databases
Application framework for building application using Hadoop
8. Related Technologies
Related
Technologies
Twitter Storm
HPCC
Dremel
Description
As opposed to Hadoop which is a batch processing system,
Storm is a distributed real time processing system
developed by Twitter. Storm is fast, scalable and easy to
use.
High Performance Computing Cluster is an MPP(Massive
parallel processing) computing platform that helps solving
problems with handling huge data.
A scalable interactive ad-hoc query system for analysis of
read-only nested data built by Google.