How we have designed and applied the gamification at Datio.
See more about this topic in our blog:
http://www.datio.com/corporate/gwc-2016-towards-the-high-level-engagement/
http://www.datio.com/corporate/beginning-a-gamification-project/
This document discusses gamification and game-based learning. It defines gamification as using game mechanics and experience design to engage and motivate people to achieve goals. The goals of gamification are to more deeply engage audiences and inspire participation. Some gamification strategies discussed include full interactive games, timed quizzes, points/badges/leaderboards, adaptive release levels, learning paths, and using a hero's journey story-based framework. Specific tools mentioned that can enable these strategies in Blackboard include Kahoot, Quizlet, Gradecraft, and partner integrations.
How to work with Python 3, how to create virtual environments, to install libraries, to create code skeletons and more.
Maybe an IDE for Python is right for you. If you are familiar with IntelliJ, then PyCharm is your option. There are other options such as Visual Studio Code, PyDev, Spyder, so you can choose the one you like the most.
And now you have no excuse to start with your first Python project.
How to document without dying in the attemptDatio Big Data
The document discusses the importance of documentation. It notes that documenting knowledge allows future generations to understand the past and envision the future. From a practical perspective, documentation provides advantages such as allowing others to use knowledge, standardizing processes, and producing documentation easily. The document then provides guidelines for technical writing such as using an active voice and focusing on the document's goal.
Testing is important for project quality and reliability. Unit tests check individual code units for correct functionality, are fast and independent. Behavior-driven development (BDD) applies business needs through scenarios defined in Gherkin. Test doubles replace code to independently test objects like dummies, fakes, stubs and mocks. Integration tests check connections between components while acceptance tests check overall project behavior from the user perspective, ensuring expected functionality but are slower and require more maintenance.
El documento describe las características y capacidades de Ceph, un sistema de almacenamiento de objetos distribuido de código abierto. Ceph puede escalar horizontalmente hasta el exabyte, no tiene puntos únicos de fallo, y funciona en hardware estándar. Utiliza un diseño descentralizado basado en objetos que puede exponer almacenamiento en forma de objetos, archivos o bloques.
This document discusses gamification and game-based learning. It defines gamification as using game mechanics and experience design to engage and motivate people to achieve goals. The goals of gamification are to more deeply engage audiences and inspire participation. Some gamification strategies discussed include full interactive games, timed quizzes, points/badges/leaderboards, adaptive release levels, learning paths, and using a hero's journey story-based framework. Specific tools mentioned that can enable these strategies in Blackboard include Kahoot, Quizlet, Gradecraft, and partner integrations.
How to work with Python 3, how to create virtual environments, to install libraries, to create code skeletons and more.
Maybe an IDE for Python is right for you. If you are familiar with IntelliJ, then PyCharm is your option. There are other options such as Visual Studio Code, PyDev, Spyder, so you can choose the one you like the most.
And now you have no excuse to start with your first Python project.
How to document without dying in the attemptDatio Big Data
The document discusses the importance of documentation. It notes that documenting knowledge allows future generations to understand the past and envision the future. From a practical perspective, documentation provides advantages such as allowing others to use knowledge, standardizing processes, and producing documentation easily. The document then provides guidelines for technical writing such as using an active voice and focusing on the document's goal.
Testing is important for project quality and reliability. Unit tests check individual code units for correct functionality, are fast and independent. Behavior-driven development (BDD) applies business needs through scenarios defined in Gherkin. Test doubles replace code to independently test objects like dummies, fakes, stubs and mocks. Integration tests check connections between components while acceptance tests check overall project behavior from the user perspective, ensuring expected functionality but are slower and require more maintenance.
El documento describe las características y capacidades de Ceph, un sistema de almacenamiento de objetos distribuido de código abierto. Ceph puede escalar horizontalmente hasta el exabyte, no tiene puntos únicos de fallo, y funciona en hardware estándar. Utiliza un diseño descentralizado basado en objetos que puede exponer almacenamiento en forma de objetos, archivos o bloques.
What is Mesos? How does it works? In the following slides we make an interesting review of this open-source software project to manage computer clusters.
La infraestructura Atlantis de Datio se basa en OpenStack. Consta de 3 controladores, 16 nodos de computación y almacenamiento distribuido Ceph. A nivel físico incluye servidores, cuchillas y almacenamiento. A nivel lógico define 4 redes aisladas y despliega los servicios principales de OpenStack como Keystone, Glance, Cinder y Neutron en alta disponibilidad. Los usuarios pueden gestionar la infraestructura a través de Horizon, la API de OpenStack o Ansible.
This document discusses data integration and architectures for processing both batch and streaming data. It covers topics like data ingestion using tools like Flume, Sqoop and Kafka to move data into data lakes and warehouses. It also discusses batch processing using MapReduce on Hadoop and stream processing using real-time technologies like Kafka and architectures like lambda and kappa for serving queries on both real-time and batch-processed views of the data.
Pandas: High Performance Structured Data ManipulationDatio Big Data
Brief theoretical introduction to Pandas: the Python library that is used primarily for manipulation and data analysis. Here we'll explain when it is convenient to work with this one, its main characteristics and the operations that allows.
In this second part, we'll continue the Spark's review and introducing SparkSQL which allows to use data frames in Python, Java, and Scala; read and write data in a variety of structured formats; and query Big Data with SQL.
This document provides an overview comparison of SAS and Spark for analytics. SAS is a commercial software while Spark is an open source framework. SAS uses datasets that reside in memory while Spark uses resilient distributed datasets (RDDs) that can scale across clusters. Both support SQL queries but Spark SQL allows querying distributed data lazily. Spark also provides machine learning APIs through MLlib that can perform tasks like classification, clustering, and recommendation at scale.
Created at the University of Berkeley in California, Apache Spark combines a distributed computing system through computer clusters with a simple and elegant way of writing programs. Spark is considered the first open source software that makes distribution programming really accessible to data scientists. Here you can find an introduction and basic concepts.
El Quality Assurance ha experimentado una evolución equiparable a la de la especie humana. En esta presentación se explica la importancia creciente de los sistemas de gestión de la calidad en el desarollo de software.
The document discusses different types of databases including relational, column-oriented, document-oriented, and graph databases. It explains key concepts such as ACID vs BASE, CAP theorem, isolation levels, indexes, sharding, and provides descriptions and comparisons of each database type.
DC/OS: The definitive platform for modern appsDatio Big Data
DC/OS is an open source platform that provides container orchestration and management using Mesos. It allows running applications and services across data center infrastructure including bare metal, VMs, and cloud. DC/OS provides services like Marathon for container orchestration, security, monitoring, load balancing and service discovery. It has features like high resource utilization, mixed workload support, elastic scalability, high availability and zero downtime upgrades.
The real purpose of any career plan should be to improve the skills of the person owning it, to discover his/her strong points, to find out the things they need help with and eventually becoming a better professional and a more self-assured individual. Then, we should start looking for a Personal Development Plan instead.
This document discusses security and governance considerations for big data. It notes that while many businesses use big data, they may not have sufficient access controls or security practices in place. Big data breaches can be large, making security critical. It then outlines some risks like insufficiently hardened systems, uncontrolled access, and unfulfilled regulatory requirements. The document introduces GOSEC as a centralized security component that manages access control across big data services like HDFS and applications. GOSEC allows setting access policies for users and groups for resources like files and topics. It covers authentication, authorization, and auditing. The document stresses the need to integrate GOSEC with the organization's identity provider and security strategies to prevent leakage of internal and external data. It
Kafka Connect allows data ingestion into Kafka from external systems by using connectors. It provides scalability, fault tolerance, and exactly-once semantics. Connectors are run as tasks within workers that can run in either standalone or distributed mode. The Schema Registry works with Kafka Connect to handle schema validation and evolution.
Colby Hobson: Residential Construction Leader Building a Solid Reputation Thr...dsnow9802
Colby Hobson stands out as a dynamic leader in the residential construction industry. With a solid reputation built on his exceptional communication and presentation skills, Colby has proven himself to be an excellent team player, fostering a collaborative and efficient work environment.
12 steps to transform your organization into the agile org you deservePierre E. NEIS
During an organizational transformation, the shift is from the previous state to an improved one. In the realm of agility, I emphasize the significance of identifying polarities. This approach helps establish a clear understanding of your objectives. I have outlined 12 incremental actions to delineate your organizational strategy.
A team is a group of individuals, all working together for a common purpose. This Ppt derives a detail information on team building process and ats type with effective example by Tuckmans Model. it also describes about team issues and effective team work. Unclear Roles and Responsibilities of teams as well as individuals.
What is Mesos? How does it works? In the following slides we make an interesting review of this open-source software project to manage computer clusters.
La infraestructura Atlantis de Datio se basa en OpenStack. Consta de 3 controladores, 16 nodos de computación y almacenamiento distribuido Ceph. A nivel físico incluye servidores, cuchillas y almacenamiento. A nivel lógico define 4 redes aisladas y despliega los servicios principales de OpenStack como Keystone, Glance, Cinder y Neutron en alta disponibilidad. Los usuarios pueden gestionar la infraestructura a través de Horizon, la API de OpenStack o Ansible.
This document discusses data integration and architectures for processing both batch and streaming data. It covers topics like data ingestion using tools like Flume, Sqoop and Kafka to move data into data lakes and warehouses. It also discusses batch processing using MapReduce on Hadoop and stream processing using real-time technologies like Kafka and architectures like lambda and kappa for serving queries on both real-time and batch-processed views of the data.
Pandas: High Performance Structured Data ManipulationDatio Big Data
Brief theoretical introduction to Pandas: the Python library that is used primarily for manipulation and data analysis. Here we'll explain when it is convenient to work with this one, its main characteristics and the operations that allows.
In this second part, we'll continue the Spark's review and introducing SparkSQL which allows to use data frames in Python, Java, and Scala; read and write data in a variety of structured formats; and query Big Data with SQL.
This document provides an overview comparison of SAS and Spark for analytics. SAS is a commercial software while Spark is an open source framework. SAS uses datasets that reside in memory while Spark uses resilient distributed datasets (RDDs) that can scale across clusters. Both support SQL queries but Spark SQL allows querying distributed data lazily. Spark also provides machine learning APIs through MLlib that can perform tasks like classification, clustering, and recommendation at scale.
Created at the University of Berkeley in California, Apache Spark combines a distributed computing system through computer clusters with a simple and elegant way of writing programs. Spark is considered the first open source software that makes distribution programming really accessible to data scientists. Here you can find an introduction and basic concepts.
El Quality Assurance ha experimentado una evolución equiparable a la de la especie humana. En esta presentación se explica la importancia creciente de los sistemas de gestión de la calidad en el desarollo de software.
The document discusses different types of databases including relational, column-oriented, document-oriented, and graph databases. It explains key concepts such as ACID vs BASE, CAP theorem, isolation levels, indexes, sharding, and provides descriptions and comparisons of each database type.
DC/OS: The definitive platform for modern appsDatio Big Data
DC/OS is an open source platform that provides container orchestration and management using Mesos. It allows running applications and services across data center infrastructure including bare metal, VMs, and cloud. DC/OS provides services like Marathon for container orchestration, security, monitoring, load balancing and service discovery. It has features like high resource utilization, mixed workload support, elastic scalability, high availability and zero downtime upgrades.
The real purpose of any career plan should be to improve the skills of the person owning it, to discover his/her strong points, to find out the things they need help with and eventually becoming a better professional and a more self-assured individual. Then, we should start looking for a Personal Development Plan instead.
This document discusses security and governance considerations for big data. It notes that while many businesses use big data, they may not have sufficient access controls or security practices in place. Big data breaches can be large, making security critical. It then outlines some risks like insufficiently hardened systems, uncontrolled access, and unfulfilled regulatory requirements. The document introduces GOSEC as a centralized security component that manages access control across big data services like HDFS and applications. GOSEC allows setting access policies for users and groups for resources like files and topics. It covers authentication, authorization, and auditing. The document stresses the need to integrate GOSEC with the organization's identity provider and security strategies to prevent leakage of internal and external data. It
Kafka Connect allows data ingestion into Kafka from external systems by using connectors. It provides scalability, fault tolerance, and exactly-once semantics. Connectors are run as tasks within workers that can run in either standalone or distributed mode. The Schema Registry works with Kafka Connect to handle schema validation and evolution.
Colby Hobson: Residential Construction Leader Building a Solid Reputation Thr...dsnow9802
Colby Hobson stands out as a dynamic leader in the residential construction industry. With a solid reputation built on his exceptional communication and presentation skills, Colby has proven himself to be an excellent team player, fostering a collaborative and efficient work environment.
12 steps to transform your organization into the agile org you deservePierre E. NEIS
During an organizational transformation, the shift is from the previous state to an improved one. In the realm of agility, I emphasize the significance of identifying polarities. This approach helps establish a clear understanding of your objectives. I have outlined 12 incremental actions to delineate your organizational strategy.
A team is a group of individuals, all working together for a common purpose. This Ppt derives a detail information on team building process and ats type with effective example by Tuckmans Model. it also describes about team issues and effective team work. Unclear Roles and Responsibilities of teams as well as individuals.
Ganpati Kumar Choudhary Indian Ethos PPT.pptx, The Dilemma of Green Energy Corporation
Green Energy Corporation, a leading renewable energy company, faces a dilemma: balancing profitability and sustainability. Pressure to scale rapidly has led to ethical concerns, as the company's commitment to sustainable practices is tested by the need to satisfy shareholders and maintain a competitive edge.
Originally presented at XP2024 Bolzano
While agile has entered the post-mainstream age, possibly losing its mojo along the way, the rise of remote working is dealing a more severe blow than its industrialization.
In this talk we'll have a look to the cumulative effect of the constraints of a remote working environment and of the common countermeasures.
Designing and Sustaining Large-Scale Value-Centered Agile Ecosystems (powered...Alexey Krivitsky
Is Agile dead? It depends on what you mean by 'Agile'. If you mean that the organizations are not getting the promised benefits because they were focusing too much on the team-level agile "ways of working" instead of systemic global improvements -- then we are in agreement. It is a misunderstanding of Agility that led us down a dead-end. At Org Topologies, we see bright sparks -- the signs of the 'second wave of Agile' as we call it. The emphasis is shifting towards both in-team and inter-team collaboration. Away from false dichotomies. Both: team autonomy and shared broad product ownership are required to sustain true result-oriented organizational agility. Org Topologies is a package offering a visual language plus thinking tools required to communicate org development direction and can be used to help design and then sustain org change aiming at higher organizational archetypes.
Impact of Effective Performance Appraisal Systems on Employee Motivation and ...Dr. Nazrul Islam
Healthy economic development requires properly managing the banking industry of any
country. Along with state-owned banks, private banks play a critical role in the country's economy.
Managers in all types of banks now confront the same challenge: how to get the utmost output from
their employees. Therefore, Performance appraisal appears to be inevitable since it set the
standard for comparing actual performance to established objectives and recommending practical
solutions that help the organization achieve sustainable growth. Therefore, the purpose of this
research is to determine the effect of performance appraisal on employee motivation and retention.
A presentation on mastering key management concepts across projects, products, programs, and portfolios. Whether you're an aspiring manager or looking to enhance your skills, this session will provide you with the knowledge and tools to succeed in various management roles. Learn about the distinct lifecycles, methodologies, and essential skillsets needed to thrive in today's dynamic business environment.
4. ““Gamification is the application of game-design elements and
principles in non-game contexts to improve user engagement,
organizational productivity, learning, employee recruitment
and more. A collection of research on gamification shows that
it has positive effects on individuals.”