The document contains examples of job title strings for various technical roles. It includes titles for roles like web developer, Winforms developer, Microsoft CRM developer, ecommerce developer, and many others. Each title string includes common skills, technologies, and keywords associated with that particular role.
The document provides examples of common search strings organized by keyword and job title that can be used or modified for searching. It includes over 50 search strings covering a wide range of technical roles such as .NET Developer, Android Developer, Business Analyst, Database Administrator, Java Developer, Network Administrator, Project Manager, Python Developer, and Web Developer among others. The search strings combine relevant skills, technologies, and terms for each role.
The document provides a list of search strings and filters that can be used to find resumes on the internet and within databases. It includes strings targeted towards technical skills like Java, Oracle, and SQL as well as strings for non-technical roles like contract managers, business analysts, HR professionals, and supply chain managers. The strings are intended to search websites, databases, and filetypes like PDFs for resumes matching the specified skills, roles, and industries.
Apache Spark is a fast and general cluster computing system that improves efficiency through in-memory computing and usability through rich APIs. Spark SQL provides a way to work with structured data and transform RDDs using SQL. It can read data from sources like Parquet and JSON files, Hive, and write query results to Parquet for efficient querying. Spark SQL also allows machine learning pipelines to be built by connecting SQL queries to MLlib algorithms.
Declarative & workflow based infrastructure with TerraformRadek Simko
Terraform allows users to define infrastructure as code to provision resources across multiple cloud platforms. It aims to describe infrastructure in a configuration file, provision resources efficiently by leveraging APIs, and manage the full lifecycle from creation to deletion. Key features include supporting composability across different infrastructure tiers, using a graph-based approach to parallelize operations for efficiency, and managing state to track resource unique IDs and allow recreating resources. Providers enable connectivity to different cloud APIs while resources define the specific infrastructure components and their properties.
This session describes the architecture and implementation of an embeddable, extensible enterprise content management core for Java EE and simpler platforms. The presentation starts by describing the general architectural concepts used as building blocks:
• A schema and document model, reusing XML schemas and making good use of XML namespaces, where document types are built with several facets
• A repository model, using hierarchy and versioning, with the Content Repository API for Java (JSR 170) being one of the possible back ends
• A query model, based on the Java Persistence query language (JSR 220) and reusing the path-based concepts from Java Content Repositories (JCR)
• A fine-grained security model, compatible with WebDAV concepts and designed to provide flexible security policies
• An event model using synchronous and asynchronous events, allowing bridging through Java Message Service (JMS) or other systems to other event-enabled frameworks
• A directory model, representing access to external data sources using the same concepts as for documents but taking advantage of the specificities of the data back ends
Suitable abstraction layers are put in place to provide the required level of flexibility. One of the main architectural tasks is to find commonalities in all the systems used (or whose use is planned in the future) so framework users need to learn and use a minimal number of concepts. The result is a set of concepts that are fundamental to enterprise document management and are usable through direct Java technology-based APIs, Java EE APIs, or SOA. The presentation shows, for each of the main components, which challenges have been met and overcome when building a framework in which all components are designed to be improved and replaced by different implementations without sacrificing backward compatibility with existing ones.
The described implementation, Nuxeo Core, can be embedded in a basic Java technology-based framework based on OSGi (such as Eclipse) or in one based on Java EE, according to the needs of the application using it. This means that the core has to function without relying on Java EE services but also has to take advantage of them when they are available (providing clustering, messaging, caching, remoting, and advanced deployment).
Works with persistent graphs using OrientDB graphdevroom
This talk will present OrientDB open source project and its capability to handle persistent graphs in different ways. OrientDB presentation Java Graph Native API SQL+graph extensions HTTP API Blueprints API Gremlin usage Console tool Studio web tool
Windows 8 for Web Developers discusses using JavaScript and HTML5 to build Metro style apps for Windows 8. Key points include:
- HTML5, CSS, JavaScript, and client frameworks like WinJS can be used to build the app experience. WinJS provides Metro styled controls and utilities.
- Apps are packaged and distributed using the .appx package format. This contains the app code and manifest.
- WinJS provides a library of controls, utilities for navigation, and an application model to manage the app lifecycle. Controls are touch enabled and styled for Metro.
- CSS3 Grid Layout can be used for page layout, replacing floats. Media queries allow styling for different device states.
Presentation for Department of Veteran Affairs
Learn the essentials of HTML5
• HTML5 Semantics
• Accessibility and ARIA
• CSS3 Styles and Animations
• Advanced Web APIs
• How to adapt your website for N-screens TV, PC, Mobile and Tablets
The document provides examples of common search strings organized by keyword and job title that can be used or modified for searching. It includes over 50 search strings covering a wide range of technical roles such as .NET Developer, Android Developer, Business Analyst, Database Administrator, Java Developer, Network Administrator, Project Manager, Python Developer, and Web Developer among others. The search strings combine relevant skills, technologies, and terms for each role.
The document provides a list of search strings and filters that can be used to find resumes on the internet and within databases. It includes strings targeted towards technical skills like Java, Oracle, and SQL as well as strings for non-technical roles like contract managers, business analysts, HR professionals, and supply chain managers. The strings are intended to search websites, databases, and filetypes like PDFs for resumes matching the specified skills, roles, and industries.
Apache Spark is a fast and general cluster computing system that improves efficiency through in-memory computing and usability through rich APIs. Spark SQL provides a way to work with structured data and transform RDDs using SQL. It can read data from sources like Parquet and JSON files, Hive, and write query results to Parquet for efficient querying. Spark SQL also allows machine learning pipelines to be built by connecting SQL queries to MLlib algorithms.
Declarative & workflow based infrastructure with TerraformRadek Simko
Terraform allows users to define infrastructure as code to provision resources across multiple cloud platforms. It aims to describe infrastructure in a configuration file, provision resources efficiently by leveraging APIs, and manage the full lifecycle from creation to deletion. Key features include supporting composability across different infrastructure tiers, using a graph-based approach to parallelize operations for efficiency, and managing state to track resource unique IDs and allow recreating resources. Providers enable connectivity to different cloud APIs while resources define the specific infrastructure components and their properties.
This session describes the architecture and implementation of an embeddable, extensible enterprise content management core for Java EE and simpler platforms. The presentation starts by describing the general architectural concepts used as building blocks:
• A schema and document model, reusing XML schemas and making good use of XML namespaces, where document types are built with several facets
• A repository model, using hierarchy and versioning, with the Content Repository API for Java (JSR 170) being one of the possible back ends
• A query model, based on the Java Persistence query language (JSR 220) and reusing the path-based concepts from Java Content Repositories (JCR)
• A fine-grained security model, compatible with WebDAV concepts and designed to provide flexible security policies
• An event model using synchronous and asynchronous events, allowing bridging through Java Message Service (JMS) or other systems to other event-enabled frameworks
• A directory model, representing access to external data sources using the same concepts as for documents but taking advantage of the specificities of the data back ends
Suitable abstraction layers are put in place to provide the required level of flexibility. One of the main architectural tasks is to find commonalities in all the systems used (or whose use is planned in the future) so framework users need to learn and use a minimal number of concepts. The result is a set of concepts that are fundamental to enterprise document management and are usable through direct Java technology-based APIs, Java EE APIs, or SOA. The presentation shows, for each of the main components, which challenges have been met and overcome when building a framework in which all components are designed to be improved and replaced by different implementations without sacrificing backward compatibility with existing ones.
The described implementation, Nuxeo Core, can be embedded in a basic Java technology-based framework based on OSGi (such as Eclipse) or in one based on Java EE, according to the needs of the application using it. This means that the core has to function without relying on Java EE services but also has to take advantage of them when they are available (providing clustering, messaging, caching, remoting, and advanced deployment).
Works with persistent graphs using OrientDB graphdevroom
This talk will present OrientDB open source project and its capability to handle persistent graphs in different ways. OrientDB presentation Java Graph Native API SQL+graph extensions HTTP API Blueprints API Gremlin usage Console tool Studio web tool
Windows 8 for Web Developers discusses using JavaScript and HTML5 to build Metro style apps for Windows 8. Key points include:
- HTML5, CSS, JavaScript, and client frameworks like WinJS can be used to build the app experience. WinJS provides Metro styled controls and utilities.
- Apps are packaged and distributed using the .appx package format. This contains the app code and manifest.
- WinJS provides a library of controls, utilities for navigation, and an application model to manage the app lifecycle. Controls are touch enabled and styled for Metro.
- CSS3 Grid Layout can be used for page layout, replacing floats. Media queries allow styling for different device states.
Presentation for Department of Veteran Affairs
Learn the essentials of HTML5
• HTML5 Semantics
• Accessibility and ARIA
• CSS3 Styles and Animations
• Advanced Web APIs
• How to adapt your website for N-screens TV, PC, Mobile and Tablets
The document discusses strategies for sourcing candidates through total talent sourcing tactics. It provides examples of keyword profiles and search strings that can be used to find candidates on LinkedIn and other sources. It emphasizes exhaustively searching through different combinations of keywords to find all potentially relevant candidates. It also discusses analyzing websites, events, communities and social networks to source high-potential candidates and obtain in-depth information about them.
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...Demi Ben-Ari
Once you start working with distributed Big Data systems, you start discovering a whole bunch of problems you won’t find in monolithic systems.
All of a sudden to monitor all of the components becomes a big data problem itself.
In the talk we’ll mention all of the aspects that you should take in consideration when monitoring a distributed system once you’re using tools like:
Web Services, Apache Spark, Cassandra, MongoDB, Amazon Web Services.
Not only the tools, what should you monitor about the actual data that flows in the system?
And we’ll cover the simplest solution with your day to day open source tools, the surprising thing, that it comes not from an Ops Guy.
Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...Codemotion
Once you start working with Big Data systems, you discover a whole bunch of problems you won’t find in monolithic systems. Monitoring all of the components becomes a big data problem itself. In the talk we’ll mention all of the aspects that you should take in consideration when monitoring a distributed system using tools like: Web Services,Spark,Cassandra,MongoDB,AWS. Not only the tools, what should you monitor about the actual data that flows in the system? We’ll cover the simplest solution with your day to day open source tools, the surprising thing, that it comes not from an Ops Guy.
6° Sessione - Ambiti applicativi nella ricerca di tecnologie statistiche avan...Jürgen Ambrosi
In questa sessione vedremo, con il solito approccio pratico di demo hands on, come utilizzare il linguaggio R per effettuare analisi a valore aggiunto,
Toccheremo con mano le performance di parallelizzazione degli algoritmi, aspetto fondamentale per aiutare il ricercatore nel raggiungimento dei suoi obbiettivi.
In questa sessione avremo la partecipazione di Lorenzo Casucci, Data Platform Solution Architect di Microsoft.
Jump Start into Apache® Spark™ and DatabricksDatabricks
These are the slides from the Jump Start into Apache Spark and Databricks webinar on February 10th, 2016.
---
Spark is a fast, easy to use, and unified engine that allows you to solve many Data Sciences and Big Data (and many not-so-Big Data) scenarios easily. Spark comes packaged with higher-level libraries, including support for SQL queries, streaming data, machine learning, and graph processing. We will leverage Databricks to quickly and easily demonstrate, visualize, and debug our code samples; the notebooks will be available for you to download.
This document discusses using Microsoft Azure for machine learning with R. It covers reading data from various sources into R like local files, web URLs, Azure Blob storage, and SQL server. It then discusses preprocessing data, feature engineering, training ML models with functions like glm(), and evaluating models with metrics like AUC. It notes challenges of data and ML evolving rapidly and the need to scale. It proposes using Apache Spark on Azure via services like HDInsight and R Server to allow distributed, scalable ML in the cloud with R for enterprises.
The document discusses front-end web development frameworks and tools. It covers full stack development, Git, Node.js, npm, and Bootstrap. Bootstrap is described as a free front-end framework that includes HTML, CSS templates for interfaces and optional JavaScript plugins. It also provides responsive designs and a mobile-first approach. The document then explains components of Bootstrap like grids, forms, navigation bars, cards, modals and preprocessors like Less and Sass which can be used to write CSS code.
Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...Codemotion
Once you start working with Big Data systems, you discover a whole bunch of problems you won’t find in monolithic systems. Monitoring all of the components becomes a big data problem itself. In the talk, we’ll mention all of the aspects that you should take into consideration when monitoring a distributed system using tools like Web Services, Spark, Cassandra, MongoDB, AWS. Not only the tools, what should you monitor about the actual data that flows in the system? We’ll cover the simplest solution with your day to day open source tools, the surprising thing, that it comes not from an Ops Guy.
Monitoring Big Data Systems "Done the simple way" - Demi Ben-Ari - Codemotion...Demi Ben-Ari
Once you start working with distributed Big Data systems, you start discovering a whole bunch of problems you won’t find in monolithic systems.
All of a sudden to monitor all of the components becomes a big data problem itself.
In the talk we’ll mention all of the aspects that you should take in consideration when monitoring a distributed system once you’re using tools like:
Web Services, Apache Spark, Cassandra, MongoDB, Amazon Web Services.
Not only the tools, what should you monitor about the actual data that flows in the system?
And we’ll cover the simplest solution with your day to day open source tools, the surprising thing, that it comes not from an Ops Guy.
The document provides an agenda for a DevOps advanced class on Spark being held in June 2015. The class will cover topics such as RDD fundamentals, Spark runtime architecture, memory and persistence, Spark SQL, PySpark, and Spark Streaming. It will include labs on DevOps 101 and 102. The instructor has over 5 years of experience providing Big Data consulting and training, including over 100 classes taught.
1) Consul-templaterb is a Ruby-based templating engine for Consul that provides a more powerful and optimized templating experience than the default Golang one.
2) It handles complex templates, outputs to multiple formats like JSON and YAML, supports hot reloading, and can even create full-featured GUIs.
3) It is highly optimized for performance on large Consul clusters with thousands of services and nodes.
Apache Spark is an open-source parallel processing framework that supports in-memory processing to boost the performance of big-data analytic applications. We will cover approaches of processing Big Data on Spark cluster for real time analytic, machine learning and iterative BI and also discuss the pros and cons of using Spark in Azure cloud.
This document provides an overview of Spark and using Spark on HDInsight. It discusses Spark concepts like RDDs, transformations, and actions. It also covers Spark extensions like Spark SQL, Spark Streaming, and MLlib. Finally, it highlights benefits of using Spark on HDInsight like integration with Azure services, scalability, and support.
Deploy and Destroy: Testing Environments - Michael Arenzon - DevOpsDays Tel A...DevOpsDays Tel Aviv
One of the critical factors for development velocity is software correctness. Our ability to develop and ship new features fast is bounded by our ability to validate several aspects of the change: * Does the feature meet the requirements? * How does the feature affect existing code, and how can it affect the production environment? With continues codebase growth and new features being added, naturally our productivity decreases, and our need to improve the guarantees for quality and correctness increase.
In this talk, I’ll focus on testing environments: why developers need a self-serve platform to create a full functioning environment on-demand, how such environments should be managed, and how can one restore part of the lost velocity. I’ll cover an internal system we use at AppsFlyer called ‘Namespaces’ that addresses the issue with the help of Mesos / Marathon, Docker, Traefik, and Consul.
AWS Meetup: Career Day 2019 - Lightning Talk with Cloud Career Path: Infrastr...AWS User Group - Thailand
This document discusses infrastructure and system operation careers at AWS. It outlines the types of roles including cloud solution architect, operation roles ensuring 24/7 platform availability, and specialist roles in areas like solution architecture, data science, and consulting. It also mentions responsibilities like incident support, designing solutions, consulting, project management, documentation, and reporting to customers on a daily basis.
The document provides information on connectors supported by HPE ArcSight for integrating security events from various sources. It lists over 150 specific product connectors spanning network devices, firewalls, antivirus software, databases, applications, cloud services and more. It also outlines the supported operating system platforms for installing ArcSight connectors.
"The crimes are tough too, so the heroes have attitude, don’t sugar-coat the truth and never play it cute."
General presentation to my colleagues at #Liones on what\'s new in HTML5 and CSS3, how we can use it today, and what we must mind to do so.
The document summarizes the Databricks analytics platform, which provides a unified environment powered by Apache Spark. It integrates with Azure services and provides features like interactive collaboration, native security integration, and one-click setup. It also discusses capabilities like schema management, data consistency, elastic scalability, and automatic upgrades.
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Berlin 2017Demi Ben-Ari
This document discusses monitoring big data systems in a simple way. It begins with introducing the speaker and their background. The rest of the document outlines monitoring concepts, common big data architectures involving Spark and Cassandra, and potential problems that can arise. It then provides recommendations for setting up a monitoring stack involving metrics collection, logging, dashboards, and alerting. Specifically, it recommends using Graphite, Grafana, Coralogix, and Redash. The document emphasizes the importance of correlating application and system metrics and asking the right monitoring questions.
The document discusses strategies for sourcing candidates through total talent sourcing tactics. It provides examples of keyword profiles and search strings that can be used to find candidates on LinkedIn and other sources. It emphasizes exhaustively searching through different combinations of keywords to find all potentially relevant candidates. It also discusses analyzing websites, events, communities and social networks to source high-potential candidates and obtain in-depth information about them.
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...Demi Ben-Ari
Once you start working with distributed Big Data systems, you start discovering a whole bunch of problems you won’t find in monolithic systems.
All of a sudden to monitor all of the components becomes a big data problem itself.
In the talk we’ll mention all of the aspects that you should take in consideration when monitoring a distributed system once you’re using tools like:
Web Services, Apache Spark, Cassandra, MongoDB, Amazon Web Services.
Not only the tools, what should you monitor about the actual data that flows in the system?
And we’ll cover the simplest solution with your day to day open source tools, the surprising thing, that it comes not from an Ops Guy.
Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...Codemotion
Once you start working with Big Data systems, you discover a whole bunch of problems you won’t find in monolithic systems. Monitoring all of the components becomes a big data problem itself. In the talk we’ll mention all of the aspects that you should take in consideration when monitoring a distributed system using tools like: Web Services,Spark,Cassandra,MongoDB,AWS. Not only the tools, what should you monitor about the actual data that flows in the system? We’ll cover the simplest solution with your day to day open source tools, the surprising thing, that it comes not from an Ops Guy.
6° Sessione - Ambiti applicativi nella ricerca di tecnologie statistiche avan...Jürgen Ambrosi
In questa sessione vedremo, con il solito approccio pratico di demo hands on, come utilizzare il linguaggio R per effettuare analisi a valore aggiunto,
Toccheremo con mano le performance di parallelizzazione degli algoritmi, aspetto fondamentale per aiutare il ricercatore nel raggiungimento dei suoi obbiettivi.
In questa sessione avremo la partecipazione di Lorenzo Casucci, Data Platform Solution Architect di Microsoft.
Jump Start into Apache® Spark™ and DatabricksDatabricks
These are the slides from the Jump Start into Apache Spark and Databricks webinar on February 10th, 2016.
---
Spark is a fast, easy to use, and unified engine that allows you to solve many Data Sciences and Big Data (and many not-so-Big Data) scenarios easily. Spark comes packaged with higher-level libraries, including support for SQL queries, streaming data, machine learning, and graph processing. We will leverage Databricks to quickly and easily demonstrate, visualize, and debug our code samples; the notebooks will be available for you to download.
This document discusses using Microsoft Azure for machine learning with R. It covers reading data from various sources into R like local files, web URLs, Azure Blob storage, and SQL server. It then discusses preprocessing data, feature engineering, training ML models with functions like glm(), and evaluating models with metrics like AUC. It notes challenges of data and ML evolving rapidly and the need to scale. It proposes using Apache Spark on Azure via services like HDInsight and R Server to allow distributed, scalable ML in the cloud with R for enterprises.
The document discusses front-end web development frameworks and tools. It covers full stack development, Git, Node.js, npm, and Bootstrap. Bootstrap is described as a free front-end framework that includes HTML, CSS templates for interfaces and optional JavaScript plugins. It also provides responsive designs and a mobile-first approach. The document then explains components of Bootstrap like grids, forms, navigation bars, cards, modals and preprocessors like Less and Sass which can be used to write CSS code.
Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...Codemotion
Once you start working with Big Data systems, you discover a whole bunch of problems you won’t find in monolithic systems. Monitoring all of the components becomes a big data problem itself. In the talk, we’ll mention all of the aspects that you should take into consideration when monitoring a distributed system using tools like Web Services, Spark, Cassandra, MongoDB, AWS. Not only the tools, what should you monitor about the actual data that flows in the system? We’ll cover the simplest solution with your day to day open source tools, the surprising thing, that it comes not from an Ops Guy.
Monitoring Big Data Systems "Done the simple way" - Demi Ben-Ari - Codemotion...Demi Ben-Ari
Once you start working with distributed Big Data systems, you start discovering a whole bunch of problems you won’t find in monolithic systems.
All of a sudden to monitor all of the components becomes a big data problem itself.
In the talk we’ll mention all of the aspects that you should take in consideration when monitoring a distributed system once you’re using tools like:
Web Services, Apache Spark, Cassandra, MongoDB, Amazon Web Services.
Not only the tools, what should you monitor about the actual data that flows in the system?
And we’ll cover the simplest solution with your day to day open source tools, the surprising thing, that it comes not from an Ops Guy.
The document provides an agenda for a DevOps advanced class on Spark being held in June 2015. The class will cover topics such as RDD fundamentals, Spark runtime architecture, memory and persistence, Spark SQL, PySpark, and Spark Streaming. It will include labs on DevOps 101 and 102. The instructor has over 5 years of experience providing Big Data consulting and training, including over 100 classes taught.
1) Consul-templaterb is a Ruby-based templating engine for Consul that provides a more powerful and optimized templating experience than the default Golang one.
2) It handles complex templates, outputs to multiple formats like JSON and YAML, supports hot reloading, and can even create full-featured GUIs.
3) It is highly optimized for performance on large Consul clusters with thousands of services and nodes.
Apache Spark is an open-source parallel processing framework that supports in-memory processing to boost the performance of big-data analytic applications. We will cover approaches of processing Big Data on Spark cluster for real time analytic, machine learning and iterative BI and also discuss the pros and cons of using Spark in Azure cloud.
This document provides an overview of Spark and using Spark on HDInsight. It discusses Spark concepts like RDDs, transformations, and actions. It also covers Spark extensions like Spark SQL, Spark Streaming, and MLlib. Finally, it highlights benefits of using Spark on HDInsight like integration with Azure services, scalability, and support.
Deploy and Destroy: Testing Environments - Michael Arenzon - DevOpsDays Tel A...DevOpsDays Tel Aviv
One of the critical factors for development velocity is software correctness. Our ability to develop and ship new features fast is bounded by our ability to validate several aspects of the change: * Does the feature meet the requirements? * How does the feature affect existing code, and how can it affect the production environment? With continues codebase growth and new features being added, naturally our productivity decreases, and our need to improve the guarantees for quality and correctness increase.
In this talk, I’ll focus on testing environments: why developers need a self-serve platform to create a full functioning environment on-demand, how such environments should be managed, and how can one restore part of the lost velocity. I’ll cover an internal system we use at AppsFlyer called ‘Namespaces’ that addresses the issue with the help of Mesos / Marathon, Docker, Traefik, and Consul.
AWS Meetup: Career Day 2019 - Lightning Talk with Cloud Career Path: Infrastr...AWS User Group - Thailand
This document discusses infrastructure and system operation careers at AWS. It outlines the types of roles including cloud solution architect, operation roles ensuring 24/7 platform availability, and specialist roles in areas like solution architecture, data science, and consulting. It also mentions responsibilities like incident support, designing solutions, consulting, project management, documentation, and reporting to customers on a daily basis.
The document provides information on connectors supported by HPE ArcSight for integrating security events from various sources. It lists over 150 specific product connectors spanning network devices, firewalls, antivirus software, databases, applications, cloud services and more. It also outlines the supported operating system platforms for installing ArcSight connectors.
"The crimes are tough too, so the heroes have attitude, don’t sugar-coat the truth and never play it cute."
General presentation to my colleagues at #Liones on what\'s new in HTML5 and CSS3, how we can use it today, and what we must mind to do so.
The document summarizes the Databricks analytics platform, which provides a unified environment powered by Apache Spark. It integrates with Azure services and provides features like interactive collaboration, native security integration, and one-click setup. It also discusses capabilities like schema management, data consistency, elastic scalability, and automatic upgrades.
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Berlin 2017Demi Ben-Ari
This document discusses monitoring big data systems in a simple way. It begins with introducing the speaker and their background. The rest of the document outlines monitoring concepts, common big data architectures involving Spark and Cassandra, and potential problems that can arise. It then provides recommendations for setting up a monitoring stack involving metrics collection, logging, dashboards, and alerting. Specifically, it recommends using Graphite, Grafana, Coralogix, and Redash. The document emphasizes the importance of correlating application and system metrics and asking the right monitoring questions.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
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For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
1. Job TitleString Examples:
Web Developer / DesignerString
HTML AND CSS AND (JavascriptOR AJAX) AND (Dreamweaver OR “dream
weaver”) AND “asp.net” AND SQL AND (“web development” OR “web
application” OR “web developer”)
WinformsdeveloperString
“c#” AND “ado.net” AND (“wcf” OR wpf OR “silverlight” OR “silver light” OR
“silver-light”) AND (winformsOR “win form” OR “winform” OR “windowsform”
OR “window form” OR “windows form”)
MicrosoftCRM developerString
(“MicrosoftCRM” OR “ms crm” OR “mscrm” OR “microsoft-crm” OR “ms/crm”
OR “ms dynamics” OR “ms-dynamics” OR “microsoftdynamics”) AND “.net”
AND (wcf OR wpf OR “silver light” OR silverlight OR “silver-light”) AND crm
Ecommerce developer String
(“web developer” OR “web development”) AND (web OR urlOR “ecommerce”
OR “e-commerce”) AND “c#” AND “asp.net” AND ajax AND sql
HtmlEmailSpecialistString
campaign AND HTML AND crm AND “content” AND sql AND (email OR “e mail”
OR “e-mail” OR “email deployment” OR “e-maildeployment” OR “email setup”
OR “e mail setup” OR “e-mailsetup”)
DrupalExpertString
(“web developer” OR developer OR programmer OR engineer OR “web master”
OR webmaster) AND drupalAND “googleanalytics” AND (“seo” OR websites OR
microsites OR “landing pages” OF “cms” OR “crm” OR “relationaldatabase” OR
“api” OR “ui” OR “ux” OR “socialmedia” OR paradotOR requirements)
2. Android Developer
Android AND SDK AND Java AND SQLiteAND (SVNOR subversion)
.NetDeveloperString
.Net AND (VS OR “VisualStudio”) AND (VBOR “VisualBasic” OR VB.net) AND
(ASP or ASP.net) AND (C#OR C#.net ) AND “SQL Server”
Python DeveloperString
(“Mobileapplication” OR Android OR Cocoa OR SDK OR iOs OR “obj-c” OR
“object c” OR xcode OR “Object C” OR “Objective-C” OR “Objective C” OR
Handset OR ipad OR iphoneOR “unity3d” OR “Cocos2d”)
Senior PHPDeveloper String
(programmer or developer or engineer) AND “php” AND “sql” AND “lamp” AND
“linux” AND “apache” AND “javascript” AND (jqueryor memcache OR “apc
cache” OR nosql OR “no sql” OR “no-sql” OR analytical OR analysis)
SystemAdministratorString
Server* and (AD or “Active Directory”) and Exchangeand DNS and (Linux or Unix
or CentOS or RedHat) and (Lan or WAN) and (VOIP or SIP) and (“power shell” or
scripts or scripting) and (routersor routing or switches or switching or bridgesor
“Network Administrator”)
Email/Messaging SystemAdministratorString
(“systems administrator” OR “systems administration” OR “email systems
administrator”) (“emaildelivery systems” OR powermta OR port25 OR
“message systems” OR strongmail OR qmail OR sendmail OR ironport OR
postfix) (“mta” OR “dns” OR “ptr” OR “mx records” OR “smtp protocols”
OR“dkim” OR “spf” OR “dmarc” OR “fbl” OR “feedbackloop”)
3. Automation Tester
(“qa” OR “quality assurance” OR “quality analyst” OR “automation tester”) AND
“sql” AND agile AND scrum AND rest AND soap AND “java” AND (cucumber OR
“jet brains” OR gherkin OR “cmm” OR “cmmi” OR “cast” OR “cste” OR “cmst” OR
certified OR certification)
BusinessAnalystwith BusinessObjectsExperience
(“ba” OR “business analyst” OR “project manager” OR “project analyst”) AND
“etl” AND “business objects” AND informatica AND “sql” AND (“data
warehouse” OR financialOR analysis OR analytics OR mappingsOR “product
roadmap”)
CTO
(cto OR “chief technical officer” OR “cio” OR “chief information officer” OR vp
OR “vice president” OR svp OR “senior vice president”)
DatabaseAdministrator
(“databaseadministration” OR “databaseadministrator” OR “DBAdmin” OR
DBA) AND (SQL OR “SQL Server”)
Developer Evangelist
enterprise AND “java” AND “javascript” AND html AND “php” AND “rest” AND
(“sso” OR video OR integration OR deploy OR implement OR prototyp OR
“projectmanager” OR “projectmanagement”)
DrupalExpert/ Webmaster
(“web developer” OR developer OR programmer OR engineer OR “web master”
OR webmaster) AND drupalAND “googleanalytics” AND (“seo” OR websites OR
4. microsites OR “landing pages” OR “cms” OR “crm” OR “relationaldatabase” OR
“api” OR “ui” OR “ux” OR “socialmedia” OR paradotOR requirements)
Help DeskSupport
(helpdesk OR supportOR technician OR “help desk” OR “service desk”) AND
(OSX OR JDE OR iSeries OR virtualOR virtualization OR vmware) AND (“AD” OR
“Active Directory”) AND DHCP AND DNS AND (networkOR networking) AND
(switches OR switching OR routersOR routing) AND (firewallsOR security)
Information SecurityManager
“Information Security” AND (“ProjectManager” OR “ProjectManagement” OR
Leadership OR Manager OR PMP) AND (forensic*OR Security+OR CISSP OR
“security Standards” OR “Certified Information SystemsSecurity Professional”
OR “Advanced Persistent Threats” OR “asset protection”)
Java Developer
Java AND SQL AND (“objectoriented” OR object-oriented OR “OO” OR “OOP”
OR “OOAD” OR EJB OR J2EE OR Linux OR HibernateOR JidesoftOR MySQL OR
Subversion OR SVN)
LinuxSysAdmin/ DBA
(“dba” OR “databaseadministrator” OR “databaseadministration” OR “system
administrator” OR “system administration” OR “sysadmin”) AND linux AND
(mysql OR “my sql” OR “my-sql”) AND (“ksh” OR bash OR perl OR python) AND
(nosqlOR “no sql” OR “no-sql” OR mongo OR “disaster recovery” OR “meta data
analysis” OR “data modeling” OR troubleshooting OR reporting OR backup)
LinuxSystemsAdministrator
(Unix OR Linux) AND (RedHatOR “Red Hat” OR Centos OR Debian) AND (SMTP
OR DHCP OR DNS OR LDAP OR NFS OR SMTP OR HTTP OR SNMP) AND (“Systems
5. Administrator” OR “System Administrator” OR “Systems Administration” OR
“System Administration”)
MicrostrategyConsultant
(MicroStrategyOR “Business Objects” OR OBIEE OR Cognos) AND (Informatica
OR “Ab Initio” OR SSIS OR WebsphereOR “SQL Server Integration Services”)
AND (RDBMS OR oracleOR “SQL Server” OR Teradata OR Netezza OR DB2) AND
SQL AND (BI OR “business intelligence” OR “data warehousing” OR DW)
MobileApplicationsArchitect
(ios OR iphone OR ipad OR Android) AND (SDK OR SDKs) AND (Java OR objective-
c OR “objective c” OR C++) AND (optimization OR “web services” OR UX OR user-
experience OR “user experience” OR “MobileApplications” OR “Mobile
Developer”)
Network Administrator
Server* AND (AD OR “Active Directory”) AND ExchangeAND DNS AND (Linux OR
Unix OR Centos OR RedHat) AND (Lan OR WAN) AND (VOIP OR SIP) AND (“power
shell” OR scripts OR scripting) AND (routersOR routing OR switches OR
switching OR bridges OR “Network Administrator”)
OBIEEArchitect
(OBIEE OR “oracleBusiness Intelligence”) AND (“DW” OR “data warehouse” OR
“data warehousing”) AND (IBOTS OR DACOR RPD OR SME OR OOTM OR BIAPS
OR OBI OR ETL OR informatica)
PHP Developer
PHP AND SQL AND (PostgreSQL OR “PervasiveSQL” OR IntranetOR Linux OR
ApacheOR Javascript OR HTML OR CSS)
6. ProjectManager
(“projectmanager” OR “projectmanagement” OR PMP)
Quality AssuranceAnalyst
(“QualityAssurance” OR QA OR SQA) AND test* AND softwareAND (“test cases”
OR Automated OR scripting) AND agile AND (rubyOR java OR javascript OR sql
OR plsql OR pl-sql OR pl/sql OR selenium)
Senior Manager, ITPrograms
(“program manager”OR “projectmanager” OR “it manager” OR “information
technology manager”) AND (“ms certified” OR “mscertification” OR “microsoft
certified” OR “microsoftcertification”) AND “msproject” AND “c#” AND “sql
server” AND “asp.net” AND “java” AND (“mvc” OR “big data” OR scope OR
deliverables OR timelines OR budgetOR “use case” OR design OR deploy OR
supervise OR manage)
Senior SoftwareArchitect
“c#” AND “asp.net” AND “sql server” AND (java OR j2ee OR “jsp” OR servlet OR
“ejb” OR “jms”) AND html AND xml AND “css” AND Oracle AND (unix OR linux)
AND (“app development” OR “arch” OR design OR develop OR hadoop OR
python OR rails OR “php” OR websphere OR tomcat OR “big data” OR spring OR
hibernateOR eclipse OR log4jOR “ant” OR maven OR “ooad” OR “uml” OR mvc
OR “jsf” OR velocity OR struts)
SharePointDeveloper
(“SharePointDesigner” OR “SharePointDeveloper”) AND (htmlOR css OR xsl OR
xslt OR javascript OR jquery OR ajax) AND .net AND (asp.netOR C# OR vb.net)
AND (SilverlightOR “SQL Server” OR SSRS OR SSAS OR “reporting services” OR
“analysis services”)
SQL Data Analyst
7. (“dba” OR “data analyst” OR “databaseadministrator”) AND “sqlserver” AND
(“transact-sql” OR “t-sql” OR “tsql”) AND (“stored procedures” OR “ssis” OR
“ssas” OR “ssrs” OR analy OR “data conversion” OR query OR queries OR “data
mining” OR excel OR pivot OR vlookup OR “v-lookup” OR chartOR graph OR “ms
office” OR audit)
SQL Data & QualityAssuranceAnalyst
(“dba” OR “data analyst” OR “databaseadministrator” OR “qa” OR “quality
assurance” OR “quality analyst”) AND “sql server” AND (“transactsql” OR “t-sql”
OR “tsql”) AND (“stored procedures” OR “ssis” OR “ssas” OR “ssrs” OR test OR
analy OR “data conversion” OR queries OR query OR “data mining” OR excel OR
pivot OR vlookup OR “v-lookup” OR chartOR graph OR “ms office” OR audit)
Sr. Data WarehouseArchitect& Developer
(architectOR develop* OR program*OR engineer) AND “sql server” AND “data
warehousing” AND perlAND (microstrategyOR profiler OR “data hygiene” OR
“etl” OR computationsOR aggregationsOR analy* OR quer* OR index OR design
OR deploy OR test)
Sr. Linux Administrator
(“dba” OR “databaseadministrator” OR “linux administrator”) AND linux AND
apacheAND (redhatOR fedora OR centos) AND vmware AND (tomcatOR mysql
OR “my sql” OR “my-sql” OR postgre OR zimbra OR “ssh” OR “nfs” OR “bind” OR
djbdns OR qmail OR openldap OR openssl OR “lvs” OR perl OR python OR ruby
OR bash OR firewall)
Sr. Programmer– C++,Linux
(programmer OR engineer OR developer) AND (linux OR unix) AND (redhatOR
centos OR fedora) AND (“c” OR “c++”) AND sql AND (perlOR “php” OR shell)
AND (postgreOR analy OR test OR design OR deploy OR execute)
8. SystemsEngineer
WindowsAND ExchangeAND Cisco AND switch* AND rout* AND IIS AND (Voip
OR Citrix OR AIX OR Linux OR MCSE OR CCNA OR CCNP OR CNNA OR “Systems
Engineer”) AND TCP/IP AND “ActiveDirectory” AND DNS
TechnicalAccountManager
(“accountmanager” OR “projectmanager” OR “program manager”) AND
softwareAND develop* AND “sql server” AND “data warehousing” AND
technical AND marketing
TelecommunicationsSpecialist
(TelecommunicationsOR Telecom) AND (networkOR networking) AND IP AND
telephony AND PBX AND (voicemail OR voice-mail OR “voice mail”) AND Cisco
AND Avaya
User ExperienceDesigner
(“User Experience” OR User-ExperienceOR UX OR “Human-Computer
Interaction” OR “Human Computer Interaction” OR HCI) AND CSS AND HTML
AND JavaScriptAND (jQueryOR user-centered OR “graphic design” OR “visual
design”)
Business Analyst-
("BusinessAnalyst"OR"BusinessSystemAnalyst"OR"BusinessCoordinator"OR"Business
consultant") AND("Information System"ANDTroubleshootingANDRisk*ANDAnalyst*AND
ProgrammerANDTechnology*)