Hadoop Career Path and Interview Preparation
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The document discusses career paths in Hadoop, including transitions from software testing, mainframe, software development, database administration, and Linux administration roles to Hadoop. It outlines the Hadoop job market and trends, and how professionals from different fields can embrace change and transition to Hadoop. The document provides advice on getting a big data or Hadoop job and has a survey for feedback.
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LMS Guide - Edureka
This document provides a guide to navigating and utilizing the key features of an online learning management system (LMS) called Edureka. It outlines the various tabs and sections within the LMS including signing in, accessing course content like videos and assignments, taking quizzes, downloading materials, using the support and community features like forums and blogs, and more. The goal is to help users understand how to engage with their enrolled courses and make the most of the learning resources and tools available on the LMS platform.
Analysis of an effective advertising portfolio
When it comes to getting a job in communications industries, your portfolio is your most important marketing tool. Here's a few tips on on how to prepare a portfolio that will keep you ahead of the competition.
A Brief History Of Work
Historically, work was seen as a curse by many ancient cultures like the Hebrews and Greeks. It was not until the Protestant Reformation that working became culturally acceptable for all people. With the Industrial Revolution, work became more discipline-based in factories rather than skilled crafts. In modern times, the rise of knowledge work has provided greater opportunities for self-expression and fulfillment in one's career.
FDN Career Portfolio
Rebecca Rider is a junior at Northwood University majoring in Advertising and Marketing with a minor in Hospitality. She has worked for six summers at Misty Bay Boutique and is involved in several campus organizations. Her one-year goals are to have a successful junior year and find a job utilizing her marketing and hospitality skills. Her long term goals include continuing her career, starting a family, and buying a home within five years of graduating from Northwood University with a Bachelor's degree.
Hadoop MapReduce Framework
No, combiner and reducer logic cannot be same.
Combiner is an optional step that performs local aggregation of the intermediate key-value pairs generated by the mappers. Its goal is to reduce the amount of data transferred from the mapper to the reducer.
Reducer performs the final aggregation of the values associated with a particular key. It receives the intermediate outputs from all the mappers, groups them by key, and produces the final output.
So while combiner and reducer both perform aggregation, their scopes of operation are different - combiner works locally on mapper output to minimize data transfer, whereas reducer operates globally on all mapper outputs to produce the final output. The logic needs to be optimized for their respective purposes.
Career Portfolio
This career portfolio contains sections showcasing Krysta Kramer's resume, letters of recommendation, samples of work in Microsoft programs, volunteer history, award letters, references, and a conclusion slide. The introduction explains that the portfolio displays the skills and abilities Krysta has gained as a student focusing on advertising and marketing, with goals of obtaining a top marketing/advertising position and applying skills and knowledge to help others.
Simple Career Portfolio
This document is a resume for JAYADEV J.V that includes a mission statement, career summary, goals, traditional resume, samples of work, awards and honors, degrees and education, and letters of reference. The career summary highlights experience as a web designer, developer, cinematographer, and designer. Goals include obtaining a job to utilize and develop skills, advancing knowledge in business management, and helping a company achieve its goals. Samples of work include websites and poster designs for films. Awards include for a short film and best cinematography. Listed education includes a B.Tech degree and qualifications like computer science in Plus Two.
CAREER- What to Do After a Job Interview
This document provides advice for common interview scenarios and outcomes. It suggests sending a follow-up email after an interview if you have not received a call yet to reiterate your interest and ask about next steps. It also recommends calling the hiring manager if you do not get the job to ask for feedback on your interview. Finally, it says to wait 24 hours before accepting a job offer to thoroughly consider the opportunity, and to negotiate salary and benefits when receiving an offer.
PMP
The document outlines the topics covered in an online PMP exam preparation course. The course modules cover the key aspects of project management based on the PMBOK Guide, including the project lifecycle, stakeholders, integration, scope, time, cost, quality management, and other processes. It also discusses the differences between projects, programs and portfolios, the role of the project management office, and the relationships between project management and operations management. Sample exam questions are provided at the end.
What Is Salesforce CRM? | Salesforce CRM Tutorial For Beginners | Salesforce ...
This Salesforce CRM tutorial will take you through what is Salesforce CRM, benefits of Salesforce CRM, how CRM works, along with Salesforce CRM demo and use case. This Salesforce training slides is ideal for beginners to learn CRM.
MapReduce Tutorial | What is MapReduce | Hadoop MapReduce Tutorial | Edureka
The document discusses Hadoop MapReduce and YARN. It provides an overview of MapReduce concepts like parallel processing and data locality. An example of vote counting is used to illustrate the MapReduce approach. Key components of MapReduce like Map, Reduce, and YARN are explained. The YARN application workflow is described through 8 steps from client submission to application completion. Hands-on MapReduce programming and learning resources are also mentioned.
Hadoop Interview Questions and Answers by rohit kapa
Hadoop Interview Questions and Answers - More than 130 real time questions and answers covering hadoop hdfs,mapreduce and administrative concepts by rohit kapa
Big Data Career Path | Big Data Learning Path | Hadoop Tutorial | Edureka
This Hadoop tutorial on Big Data Career Path and Learning Path ( Why Big Data Career blog: https://goo.gl/Hx1hbk ) will tell you why Big Data analytics is the best career move. Learn about various job roles, salary trends and learning paths in Big Data domain. Below are the topics covered in this Big Data Career Path and Learning Path Tutorial:
1) Big Data Domains
2) Big Data Job Roles and Trends
3) Big Data Salary Trends
4) Big Data Career Path
5) Big Data Learning Path
6) Edureka Big Data Certification Courses
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Check our complete Hadoop playlist here: https://goo.gl/4OyoTW
#BigDataCareer #HadoopCareer #BigDataLearningPath
MapReduce Example | MapReduce Programming | Hadoop MapReduce Tutorial | Edureka
This Hadoop tutorial on MapReduce Example ( Mapreduce Tutorial Blog Series: https://goo.gl/w0on2G ) will help you understand how to write a MapReduce program in Java. You will also get to see multiple mapreduce examples on Analytics and Testing.
Check our complete Hadoop playlist here: https://goo.gl/ExJdZs
Below are the topics covered in this tutorial:
1) MapReduce Way
2) Classes and Packages in MapReduce
3) Explanation of a Complete MapReduce Program
4) MapReduce Examples on Analytics
5) MapReduce Example on Testing - MRUnit
Hadoop Tutorial | What is Hadoop | Hadoop Project on Reddit | Edureka
This Edureka Hadoop Tutorial ( Hadoop Tutorial Blog Series: https://goo.gl/zndT2V ) helps you understand Big Data and Hadoop in detail. This Hadoop Tutorial is ideal for both beginners as well as professionals who want to learn or brush up their Hadoop concepts.
This Edureka Hadoop Tutorial provides knowledge on:
1) What are the driving factors of Big Data and what are its challenges?
2) How Hadoop solves Big Data storage and processing challenges with Facebook use-case?
3) The overview of Hadoop YARN Architecture and its Components.
4) A real-life implementation of a complete end to end Hadoop Project on a Reddit use case on a Hadoop Cluster.
Check our complete Hadoop playlist here: https://goo.gl/ExJdZs
Control Transactions using PowerCenter
This document discusses transaction processing and control in Informatica PowerCenter. It explains that a transaction is a set of operations that either all succeed or all fail together to maintain data integrity. It then covers transaction control in PowerCenter, including different commit types (source-based, target-based, user-defined), transaction control transformations, and related session properties. The document concludes with an overview of hands-on exercises for configuring commit points and learning mapping tips and tricks.
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Hadoop Interview Questions and Answers by rohit kapa
Hadoop Interview Questions and Answers by rohit kapa
Big Data Career Path | Big Data Learning Path | Hadoop Tutorial | Edureka
Big Data Career Path | Big Data Learning Path | Hadoop Tutorial | Edureka
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MapReduce Example | MapReduce Programming | Hadoop MapReduce Tutorial | Edureka
Hadoop Tutorial | What is Hadoop | Hadoop Project on Reddit | Edureka
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Is It A Right Time For Me To Learn Hadoop. Find out ?
Forrester predicts, CIOs who are late to the Hadoop game will finally make the platform a priority in 2015. Hadoop has evolved as a must-to-know technology and has been a reason for better career, salary and job opportunities for many professionals.
Hadoop Webinar 28July15
This document discusses why Hadoop is important to learn. It predicts that by 2020 there will be 40 zettabytes of data in the world and big data is being used by companies like Amazon, Twitter, and stock markets. Hadoop allows for the use of big data by being fast, flexible, scalable, cost effective and fault tolerant. The document outlines career paths working with Hadoop and that 2015 will see further adoption by enterprises and emergence of Hadoop distributions from companies like IBM. It concludes by answering that it is the right time to learn Hadoop due to its proven worth, growing adoption, disappearing skills shortage, and job opportunities.
Big Data Analytics Tutorial | Big Data Analytics for Beginners | Hadoop Tutor...
This Edureka Big Data Analytics Tutorial will help you to understand the basics of Big Data domain. Learn how to analyze Big Data in this tutorial. Below are the topics covered in this tutorial:
1) Big Data Introduction
2) What is Big Data Analytics?
3) Why Big Data Analytics?
4) Stages in Big Data Analytics
5) Big Data Analytics Domains
6) Big Data Analytics Use Cases
Subscribe to our channel to get updates.
Check our complete Hadoop playlist here: https://goo.gl/4OyoTW
Hadoop training kit from lcc infotech
The document provides information about a training on big data and Hadoop. It covers topics like HDFS, MapReduce, Hive, Pig and Oozie. The training is aimed at CEOs, managers, developers and helps attendees get Hadoop certified. It discusses prerequisites for learning Hadoop, how Hadoop addresses big data problems, and how companies are using Hadoop. It also provides details about the curriculum, profiles of trainers and job roles working with Hadoop.
Whatisbigdataandwhylearnhadoop
This document is a presentation on big data and Hadoop. It introduces big data, how it is growing exponentially, and the challenges of storing and analyzing unstructured data. It discusses how Sears moved to Hadoop to gain insights from all of its customer data. The presentation explains why Hadoop is in high demand, as it allows distributed processing of large datasets across commodity hardware. It provides an overview of the Hadoop ecosystem including HDFS, MapReduce, Hive, HBase and more. Finally, it discusses job opportunities and salaries in big data which are high and growing significantly.
Bn1028 demo hadoop administration and development
The document is an introduction to Hadoop administration and development training. It discusses big data challenges and how Hadoop provides a framework to process and analyze large datasets across clusters of commodity hardware. Specifically, it covers what Hadoop is and its ecosystem including HDFS, MapReduce, Pig, Hive, HBase and other related technologies. It also discusses use cases, architecture, benefits and how companies are using Hadoop to solve big data problems.
Hadoop training-and-placement
Where can I find the best Hadoop training and placement program?
To get the best training for Hadoop, I would suggest you go ahead with OPTnation as they will prepare you completely for interviews that will help you in landing your dream company that you are looking for after training completion. They have trainers who have trained thousands of candidates from fresher to experienced level and helped them in starting their career in this booming technology. Their course is 100% job oriented and they will provide you 100% placement assistance as well to land your dream company as many of their students have already done.
Also, go to their website where you will find thousands of big data Hadoop jobs for freshers.
Hadoop training-and-placement
Where can I find the best Hadoop training and placement program?
Where can I find hadoop bigdata jobs?
Where can I find big data Hadoop jobs for freshers?
Where can i find hadoop bigdata jobs?
Hadoop and the Data Warehouse: Point/Counter Point
Robin Bloor and Teradata
Live Webcast on April 22, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=2e69345c0a6a4e5a8de6fc72652e3bc6
Can you replace the data warehouse with Hadoop? Is Hadoop an ideal ETL subsystem? And what is the real magic of Hadoop? Everyone is looking to capitalize on the insights that lie in the vast pools of big data. Generating the value of that data relies heavily on several factors, especially choosing the right solution for the right context. With so many options out there, how do organizations best integrate these new big data solutions with the existing data warehouse environment?
Register for this episode of The Briefing Room to hear veteran analyst Dr. Robin Bloor as he explains where Hadoop fits into the information ecosystem. He’ll be briefed by Dan Graham of Teradata, who will offer perspective on how Hadoop can play a critical role in the analytic architecture. Bloor and Graham will interactively discuss big data in the big picture of the data center and will also seek to dispel several common misconceptions about Hadoop.
Visit InsideAnlaysis.com for more information.
Hadoop Developer Skills | Edureka
Youtube Link: https://youtu.be/RyWsGsq5cJY
***Big Data Hadoop Certification Training: https://www.edureka.co/big-data-hadoop-training-certification***
This Edureka PPT on Hadoop Developer will provide you with detailed knowledge about Job Role, Salary Trends, Job Trends, Responsibilities of a Hadoop Developer in a detailed manner.
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** Data Analytics Masters' Program: https://www.edureka.co/masters-program/data-analyst-certification **
** Data Scientist Masters' Program: https://www.edureka.co/masters-program/data-scientist-certification **
This Edureka PPT on "Data Analyst vs Data Engineer vs Data Scientist" will help you understand the various similarities and differences between them. Also, you will get a complete roadmap along with the skills required to get into a data-related career. Below topics are covered in this tutorial:
Who is data analyst, data engineer and data scientist?
Roadmap
Required skill-sets
Roles and Responsibilities
Salary Perspective
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Hadoop and Mapreduce Certification
Vskills certification for Hadoop and Mapreduce assesses the candidate for skills on Hadoop and Mapreduce platform for big data applications. The certification tests the candidates on various areas in Hadoop and Mapreduce which includes knowledge of Hadoop, Mapreduce, their configuration and administration, cluster installation and configuration, using pig, zookeeper and Hbase.
http://www.vskills.in/certification/Certified-Hadoop-and-Mapreduce-Professional
Overview of Hadoop and HDFS
This document provides an introduction to Hadoop and HDFS. It defines big data and Hadoop, describing how Hadoop uses a scale-out approach to distribute data and processing across clusters of commodity servers. It explains that HDFS is the distributed file system of Hadoop, which splits files into blocks and replicates them across multiple nodes for reliability. HDFS is optimized for large streaming reads and writes of large files. The document also gives an overview of the Hadoop ecosystem and common Hadoop distributions.
Why Hadoop as a Service?
1. Hadoop adoption has matured from initial small deployments to scaling up across enterprises, but configuring and managing large Hadoop environments can be difficult and expensive.
2. Hadoop as a Service (HaaS) provides an alternative where enterprises can deploy Hadoop in the cloud to avoid the challenges of managing large on-premise clusters.
3. HaaS allows enterprises to focus on data analysis rather than infrastructure while reducing costs and providing scalability, high availability, and self-configuration capabilities not easily achieved on-premise.
Drupal Gardens Overview
Drupal Gardens allows users to build Drupal websites in 15 minutes or less without technical expertise. With Drupal Gardens, users get a hosted and fully managed Drupal installation with pre-built themes and templates. The service is aimed at enterprises, agencies, and organizations looking to quickly create microsites, marketing sites, event sites, and more without installing or managing software. Drupal Gardens offers a library of themes and templates, drag-and-drop page building, integrated media tools, and social features for community engagement.
Embracing Hadoop with a musical touch!
The document summarizes Fidelity Investments' journey in embracing Hadoop for their customer data analytics platform. They started by onboarding web data onto Hadoop and establishing a Hadoop user group. Over time, they expanded Hadoop's role by enabling complex predictive analytics, handling larger datasets, and making it their advanced analytics platform. Key lessons included taking an iterative approach, focusing on business value, reusing existing assets, and involving business stakeholders. They continue to leverage new Hadoop technologies and work towards a customer analytics platform. The presentation includes musical parodies about their love for Hadoop.
NewBCamp08: Intro to Web Standards
NewBCamp08 was a first-time unconference for web newbies. There were "tracks" for web development, social media, etc. For more info: newbcamp.com
This presentation addresses: What are web standards? Why use them? Why haven't we been using them all along? What are Microformats? How can you use the URL as a UI?
Hadoop : The Pile of Big Data
The document is from Edureka about their Big Data and Hadoop course. It provides an overview of Hadoop including what it is, its key characteristics of being reliable, economical, scalable and flexible. It describes the core Hadoop components of HDFS for storage and YARN for processing. It also discusses when to use Hadoop such as for large datasets that are diverse, growing, and not time critical. Examples are provided for processing different data types like images, XML files, and CSVs. Contact information is given for the Big Data and Hadoop course.
Hadoop Innovation Summit 2014
Slides from my presentation at Hadoop Innovation Summit 2014
The Future of Hadoop: Choosing the right options
Hybrid Data Warehouse Hadoop Implementations
The document discusses the evolving relationship between data warehouse (DW) and Hadoop implementations. It notes that DW vendors are incorporating Hadoop capabilities while the Hadoop ecosystem is growing to include more DW-like functions. Major DW vendors will likely continue playing a key role by acquiring successful new entrants or incorporating their technologies. The optimal approach involves a hybrid model that leverages the strengths of DWs and Hadoop, with queries determining where data resides and processing occurs. SQL-on-Hadoop architectures aim to bridge the two worlds by bringing SQL and DW tools to Hadoop.
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The webinar will help freshers and experienced professionals to capitalize on these 21 days and figure out the best technologies to learn while confined to home.
You will also get all your questions and doubts resolved in real-time.
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YouTube Link: https://youtu.be/LSM7hD6GM4M
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EA Algorithm in Machine Learning | Edureka
YouTube Link: https://youtu.be/DIADjJXrgps
** Machine Learning Certification Training: https://www.edureka.co/machine-learning-certification-training **
This Edureka PPT on 'EM Algorithm In Machine Learning' covers the EM algorithm along with the problem of latent variables in maximum likelihood and Gaussian mixture model.
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Cognitive AI Tutorial | Edureka
Cognitive computing aims to mimic human reasoning and behavior to solve complex problems. It works by simulating human thought processes through adaptive, interactive, iterative and contextual means. Cognitive computing supplements human decision making in sectors like customer service and healthcare, while artificial intelligence focuses more on autonomous decision making with applications in finance, security and more. A use case of cognitive AI is using it to assess skills, find relevant jobs, negotiate pay, suggest career paths and provide salary comparisons and job openings to help humans.
AWS Cloud Practitioner Tutorial | Edureka
YouTube Link: https://youtu.be/0djPrlaxx_U
Edureka AWS Architect Certification Training - https://www.edureka.co/aws-certification-training
This Edureka PPT on AWS Cloud Practitioner will provide a complete guide to your AWS Cloud Practitioner Certification exam. It will explain the exam details, objectives, why you should get certified and also how AWS certification will help your career.
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Blue Prism Top Interview Questions | Edureka
YouTube Link: https://youtu.be/ykbRdUNIbyQ
** RPA Training: https://www.edureka.co/robotic-process-automation-certification-courses**
This PPT on Blue Prism Interview Questions will cover the Top 50 Blue Prism related questions asked in your interviews.
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Big Data on AWS Tutorial | Edureka
YouTube Link: https://youtu.be/ge4qhkl9uKg
AWS Architect Certification Training: https://www.edureka.co/aws-certification-training
This PPT will help you in understanding how AWS deals smartly with Big Data. It also shows how AWS can solve Big Data challenges with ease.
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A star algorithm | A* Algorithm in Artificial Intelligence | Edureka
YouTube Link: https://youtu.be/amlkE0g-YFU
** Artificial Intelligence and Deep Learning: https://www.edureka.co/ai-deep-learni... **
This Edureka PPT on 'A Star Algorithm' teaches you all about the A star Algorithm, the uses, advantages and disadvantages and much more. It also shows you how the algorithm can be implemented practically and has a comparison between the Dijkstra and itself.
Check out our playlist for more videos: http://bit.ly/2taym8X
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Kubernetes Installation on Ubuntu | Edureka
YouTube Link: https://youtu.be/UWg3ORRRF60
Kubernetes Certification: https://www.edureka.co/kubernetes-certification
This Edureka PPT will help you set up a Kubernetes cluster having 1 master and 1 node. The detailed step by step instructions is demonstrated in this PPT.
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Introduction to DevOps | Edureka
YouTube Link: https://youtu.be/GJQ36pIYbic
DevOps Training: https://www.edureka.co/devops-certification-training
This Edureka DevOps Tutorial for Beginners talks about What is DevOps and how it works. You will learn about several DevOps tools (Git, Jenkins, Docker, Puppet, Ansible, Nagios) involved at different DevOps stages such as version control, continuous integration, continuous delivery, continuous deployment, continuous monitoring.
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More from Edureka! (20)
What to learn during the 21 days Lockdown | Edureka
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Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
Containers & AI - Beauty and the Beast!?!
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Keywords: AI, Containeres, Kubernetes, Cloud Native
Event Link: https://meine.doag.org/events/cloudland/2024/agenda/#agendaId.4211
Principle of conventional tomography-Bibash Shahi ppt..pptx
before the computed tomography, it had been widely used.
Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
So… you want to become a Test Automation Engineer (or hire and develop one)? While there’s quite a bit of information available about important technical and tool skills to master, there’s not enough discussion around the path to becoming an effective Test Automation Engineer that knows how to add VALUE. In my experience this had led to a proliferation of engineers who are proficient with tools and building frameworks but have skill and knowledge gaps, especially in software testing, that reduce the value they deliver with test automation.
In this talk, Lee will share his lessons learned from over 30 years of working with, and mentoring, hundreds of Test Automation Engineers. Whether you’re looking to get started in test automation or just want to improve your trade, this talk will give you a solid foundation and roadmap for ensuring your test automation efforts continuously add value. This talk is equally valuable for both aspiring Test Automation Engineers and those managing them! All attendees will take away a set of key foundational knowledge and a high-level learning path for leveling up test automation skills and ensuring they add value to their organizations.
From Natural Language to Structured Solr Queries using LLMs
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
AppSec PNW: Android and iOS Application Security with MobSF
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
A Deep Dive into ScyllaDB's Architecture
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
Essentials of Automations: Exploring Attributes & Automation Parameters
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Apps Break Data
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Day 2 - Intro to UiPath Studio Fundamentals
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
Demystifying Knowledge Management through Storytelling
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
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QR Secure: A Hybrid Approach Using Machine Learning and Security Validation F...
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation Functions to Prevent Interaction with Malicious QR Codes.
Aim of the Study: The goal of this research was to develop a robust hybrid approach for identifying malicious and insecure URLs derived from QR codes, ensuring safe interactions.
This is achieved through:
Machine Learning Model: Predicts the likelihood of a URL being malicious.
Security Validation Functions: Ensures the derived URL has a valid certificate and proper URL format.
This innovative blend of technology aims to enhance cybersecurity measures and protect users from potential threats hidden within QR codes 🖥 🔒
This study was my first introduction to using ML which has shown me the immense potential of ML in creating more secure digital environments!
"Choosing proper type of scaling", Olena Syrota
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
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"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
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Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Poznań ACE event - 19.06.2024 Team 24 Wrapup slidedeck
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"Scaling RAG Applications to serve millions of users", Kevin Goedecke
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
From Natural Language to Structured Solr Queries using LLMs
From Natural Language to Structured Solr Queries using LLMs
AppSec PNW: Android and iOS Application Security with MobSF
AppSec PNW: Android and iOS Application Security with MobSF
Essentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation Parameters
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Demystifying Knowledge Management through Storytelling
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
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QR Secure: A Hybrid Approach Using Machine Learning and Security Validation F...
Hadoop Career Path and Interview Preparation
- 1. www.edureka.co/hadoop-admin Hadoop Career Paths and Interview Questions
- 2. www.edureka.co/hadoop-admin What will you learn today? Hadoop Job Market Hadoop Career Paths for Software Testing Professionals Mainframe Professionals Software Developers Database Administrators Linux Administrators How to get a Big Data/Hadoop Job
- 5. www.edureka.co/hadoop-admin Still have a doubt? Internet is filled with questions and comments where people ask about, how they can change there career to Big Data/Hadoop and is it worth doing?
- 6. www.edureka.co/hadoop-admin Get rid of your Doubt
- 11. www.edureka.co/hadoop-admin Linux Admin to Hadoop
- 13. www.edureka.co/hadoop-admin Embrace the Change Change can be scary, but you know what is scarier? Allowing your fear to stop you from growing, evolving and progressing
- 15. www.edureka.co/hadoop-admin How to get a Big Data/Hadoop Job?
- 16. www.edureka.co/hadoop-admin Survey Your feedback is vital for us, be it a compliment, a suggestion or a complaint. It helps us to make your experience better! Please spare few minutes to take the survey after the webinar.
- 17. www.edureka.co/hadoop-admin Thank You … Questions/Queries/Feedback Recording and presentation will be made available to you within 24 hours