Master the art of Low-Code.
Learn the coding basics you need to supercharge your no-code projects.
Discover the whole course content including videos, transcripts and examples: lowcodestarterpack.com
The document provides information about getting involved in the Salesforce Trailblazer community. It discusses how the community is focused on helping members learn, connect, have fun, and give back. Specific opportunities mentioned include participating in community groups on Chatter to ask and answer questions, connecting with other Trailblazers through local events and conferences, and becoming a mentor to help others through programs. The community aims to provide a welcoming place for members to succeed together.
Victoria Tableau User Group - Getting started with TableauDmitry Anoshin
This document provides an overview and agenda for a workshop on getting started with Tableau. It introduces the presenter and their experience. It then covers the basics of data visualization, the history and role of analytics. An overview of Tableau is provided, including the product offerings and how the different Tableau objects like data sources, dimensions, measures, worksheets and dashboards work. Real world examples are shown and learning resources are discussed. The document concludes with a planned hands-on Tableau desktop lab session to have participants connect data and create their own dashboards and workbooks.
The Data Platform for Today’s Intelligent ApplicationsNeo4j
The document discusses how graph technology and Neo4j's graph data platform are fueling data-driven transformations across industries by unlocking deeper insights from relationships within data. It notes that 75% of Fortune 1000 companies had suppliers impacted by the pandemic showing supply chain problems are really data problems. It then promotes Neo4j as the leader in the growing graph database market and discusses its capabilities and customers across industries like insurance, banking, automotive, retail, and telecommunications.
Bound Tech is a top institute that provides hands-on Tableau training taught by experienced trainers using real-world scenarios and examples. The training covers fundamental concepts, advanced concepts, and job-oriented skills over 50-60 hours. Students learn how to rapidly analyze data, create dashboards and reports, and share analytics using features of Tableau. The course also provides skills needed for roles like business analyst, data scientist, and Tableau developer.
Netflix Data Engineering @ Uber Engineering MeetupBlake Irvine
People, Platform, Projects: these slides overview how Netflix works with Big Data. I share how our teams are organized, the roles we typically have on the teams, an overview of our Big Data Platform, and two example projects.
Volvo Cars - Retrieving Safety Insights using Graphs (GraphSummit Stockholm 2...Neo4j
Volvo Cars has developed a map attributes representation as a graph in Neo4j. By including real time car data, they are able to collect insights to learn on possible accident causes based on road infrastructure.
How Graph Data Science can turbocharge your Knowledge GraphNeo4j
Knowledge Graphs are becoming mission-critical across many industries. More recently, we are witnessing the application of Graph Data Science to Knowledge Graphs, offering powerful outcomes. But how do we define Knowledge Graphs in industry and how can they be useful for your project? In this talk, we will illustrate the various methods and models of Graph Data Science being applied to Knowledge Graphs and how they allow you to find implicit relationships in your graph which are impossible to detect in any other way. You will learn how graph algorithms from PageRank to Embeddings drive ever deeper insights in your data.
The document provides information about getting involved in the Salesforce Trailblazer community. It discusses how the community is focused on helping members learn, connect, have fun, and give back. Specific opportunities mentioned include participating in community groups on Chatter to ask and answer questions, connecting with other Trailblazers through local events and conferences, and becoming a mentor to help others through programs. The community aims to provide a welcoming place for members to succeed together.
Victoria Tableau User Group - Getting started with TableauDmitry Anoshin
This document provides an overview and agenda for a workshop on getting started with Tableau. It introduces the presenter and their experience. It then covers the basics of data visualization, the history and role of analytics. An overview of Tableau is provided, including the product offerings and how the different Tableau objects like data sources, dimensions, measures, worksheets and dashboards work. Real world examples are shown and learning resources are discussed. The document concludes with a planned hands-on Tableau desktop lab session to have participants connect data and create their own dashboards and workbooks.
The Data Platform for Today’s Intelligent ApplicationsNeo4j
The document discusses how graph technology and Neo4j's graph data platform are fueling data-driven transformations across industries by unlocking deeper insights from relationships within data. It notes that 75% of Fortune 1000 companies had suppliers impacted by the pandemic showing supply chain problems are really data problems. It then promotes Neo4j as the leader in the growing graph database market and discusses its capabilities and customers across industries like insurance, banking, automotive, retail, and telecommunications.
Bound Tech is a top institute that provides hands-on Tableau training taught by experienced trainers using real-world scenarios and examples. The training covers fundamental concepts, advanced concepts, and job-oriented skills over 50-60 hours. Students learn how to rapidly analyze data, create dashboards and reports, and share analytics using features of Tableau. The course also provides skills needed for roles like business analyst, data scientist, and Tableau developer.
Netflix Data Engineering @ Uber Engineering MeetupBlake Irvine
People, Platform, Projects: these slides overview how Netflix works with Big Data. I share how our teams are organized, the roles we typically have on the teams, an overview of our Big Data Platform, and two example projects.
Volvo Cars - Retrieving Safety Insights using Graphs (GraphSummit Stockholm 2...Neo4j
Volvo Cars has developed a map attributes representation as a graph in Neo4j. By including real time car data, they are able to collect insights to learn on possible accident causes based on road infrastructure.
How Graph Data Science can turbocharge your Knowledge GraphNeo4j
Knowledge Graphs are becoming mission-critical across many industries. More recently, we are witnessing the application of Graph Data Science to Knowledge Graphs, offering powerful outcomes. But how do we define Knowledge Graphs in industry and how can they be useful for your project? In this talk, we will illustrate the various methods and models of Graph Data Science being applied to Knowledge Graphs and how they allow you to find implicit relationships in your graph which are impossible to detect in any other way. You will learn how graph algorithms from PageRank to Embeddings drive ever deeper insights in your data.
The document provides an introduction to knowledge graphs. It discusses how knowledge graphs are being used by large enterprises and intelligent agents to capture concepts, entities, and relationships within domains to drive business, generate insights, and enhance relationships. The presentation will cover an overview of what knowledge graphs are, who uses them, why they are used, and how to use them. It then provides some examples of how knowledge graphs are applied, including in intelligent agents, semantic web, search engines, social networks, biology, enterprise knowledge management, and more.
The path to success with Graph Database and Graph Data ScienceNeo4j
What’s new and what’s next? Product innovation moves rapidly at Neo4j – learn how graph technology can provide you with the tools to get much more from your data!
Here's a starting template for anyone presenting data science topic to elementary school students. Exhibits how fun the field is and how the job market for these skills is excellent. Includes hyperlinks to various examples of interesting interactive visualizations.
Datalicious is a data analytics company that provides strong web analytics experience and expertise. It was founded in 2007 and combines developers, analysts, and strategists to provide 360-degree data analytics services to blue chip clients across industries. Datalicious turns data into actionable insights through high-scalable cloud platforms and a team of analytics experts.
Netflix Recommender System : Big Data Case StudyKetan Patil
Netflix faced the challenge of personalized recommendations at scale for its growing user base and content catalog. It developed a recommender system using 3 computation layers - online, offline, and nearline - to process petabytes of user data from ratings, streams, and other sources. This system saved Netflix $1 billion per year by improving user engagement and satisfaction through more accurate recommendations.
A rough template to use and abuse when pitching Raw Fury (or other publishers as well, of course) Feel free to steal the structure and modify it as you see fit.
For a more in-depth explanation on How To Pitch Raw Fury:
https://rawfury.com/how-to-pitch-to-raw-fury/
This document discusses optimizing supply chains with Neo4j graph databases. It notes that supply chains have complex relationships that are naturally modeled as graphs. It promotes Neo4j's graph database, tools, and algorithms for building digital twins of supply chains for purposes like visibility, optimization, and calculating scope 3 carbon emissions. Examples are given of companies using Neo4j for supply chain applications like routing, asset management, and equipment maintenance.
Graphs in Automotive and Manufacturing - Unlock New Value from Your DataNeo4j
This document discusses how graph databases like Neo4j can be used in automotive and manufacturing industries. It outlines use cases like supply chain management, warranty analytics, customer 360 views, and knowledge graphs. Examples are given of how graphs could help with supply chain optimization, predictive analytics, customer experience, and new product development. The presentation concludes with case studies of companies using Neo4j for applications such as integrated product data management, lessons learned databases, and product 360 views.
Building an Enterprise Knowledge Graph @Uber: Lessons from RealityJoshua Shinavier
This document summarizes Uber's experience building an enterprise knowledge graph. It notes that Uber has over 200,000 managed datasets and billions of trips served, making it an ideal testbed for a knowledge graph. However, it also outlines several lessons learned, including that real-world data is messy, an RDF-based approach is difficult, and property graphs alone are insufficient. The document advocates standardizing on shared vocabularies, fitting tools and data models to existing infrastructure, and collaborating across teams.
At DCG, we've gotten extremely excited about a project at the intersection of crypto and VR called Decentraland. This presentation provides a brief description of what Decentraland is and explains why we think it could be the next big thing.
We find this project super inspiring and we're doing a lot to accelerate the development of this ecosystem. Hopefully you see what we see!
Join us for this 30-minute webinar to hear from Zach Blumenfeld, Neo4j’s Data Science Specialist, to learn the basics of Graph Neural Networks (GNNs) and how they can help you to improve predictions in your data.
The document discusses knowledge graphs and their value for organizations. It notes that two-thirds of Neo4j customers have implemented knowledge graphs and that 88% of CXOs believe knowledge graphs will significantly improve business outcomes. Knowledge graphs are described as interconnected datasets enriched with meaning to enable complex decision-making. Examples of how knowledge graphs have helped companies with recommendations, fraud detection, and track and trace are provided.
Easily Identify Sources of Supply Chain GridlockNeo4j
Join us for this 20-minute webinar to hear from Nick Johnson, Product Marketing Manager for Graph Data Science, as he explains the fundamentals of Neo4j Graph Data Science and its applications in optimizing supply chain management. Discover how leveraging graph analytics can help you identify bottlenecks, reduce costs, and streamline your supply chain operations more efficiently.
10 Digital Marketing Trends covering different tools to help digital marketers in 2015. Presented by Dave Chaffey at the Smart Insights Digital Impact conference.
Improving Machine Learning using Graph AlgorithmsNeo4j
Graph enhancements to AI and ML are changing the landscape of intelligent applications. In this session, we’ll focus on how using connected features can help improve the accuracy, precision, and recall of machine learning models. You’ll learn how graph algorithms can provide more predictive features as well as aid in feature selection to reduce overfitting. We’ll look at a link prediction example to predict collaboration with measurable improvement when including graph-based features.
This presentation discusses new trends in fan engagement around sport industry but can be applied to other industries as well. myQuiz.org is a platform which allows fan engagement via gamification.
DAMA Webinar - Big and Little Data QualityDATAVERSITY
While technological innovation brings constant change to the data landscape, many organizations still struggle with the basics: ensuring they have reliable, high quality data. In health care, the promise of insight to be gained through analytics is dependent on ensuring the interactions between providers and patients are recorded accurately and completely. While traditional health care data is dependent on person-to-person contact, new technologies are emerging that change how health care is delivered and how health care data is captured, stored, accessed and used. Using health care as a lens through which to understand the emergence of big data, this presentation will ask the audience to think about data in old and new ways in order to gain insight about how to improve the quality of data, regardless of size.
We live in a data driven world. Our ability to generate and store data is increasing exponentially but, with data comes the need to analyse it and communicate it. Data stories such as infographics can bring facts to life, and is a way to simplify and help make sense and order out of a disparate collection of facts. Learn simple strategies to engage all students in authentic, integrated, inquiry learning which blends computational methods with digital graphics to visualise data in meaningful, interesting and more dynamic ways. See how you can engage your students in building effective stories from the hidden insights locked within the data they are exploring.
Master the art of Low-Code.
Learn the coding basics you need to supercharge your no-code projects.
Discover the whole course content including videos, transcripts and examples: lowcodestarterpack.com
Master the art of Low-Code.
Learn the coding basics you need to supercharge your no-code projects.
Discover the whole course content including videos, transcripts and examples: lowcodestarterpack.com
The document provides an introduction to knowledge graphs. It discusses how knowledge graphs are being used by large enterprises and intelligent agents to capture concepts, entities, and relationships within domains to drive business, generate insights, and enhance relationships. The presentation will cover an overview of what knowledge graphs are, who uses them, why they are used, and how to use them. It then provides some examples of how knowledge graphs are applied, including in intelligent agents, semantic web, search engines, social networks, biology, enterprise knowledge management, and more.
The path to success with Graph Database and Graph Data ScienceNeo4j
What’s new and what’s next? Product innovation moves rapidly at Neo4j – learn how graph technology can provide you with the tools to get much more from your data!
Here's a starting template for anyone presenting data science topic to elementary school students. Exhibits how fun the field is and how the job market for these skills is excellent. Includes hyperlinks to various examples of interesting interactive visualizations.
Datalicious is a data analytics company that provides strong web analytics experience and expertise. It was founded in 2007 and combines developers, analysts, and strategists to provide 360-degree data analytics services to blue chip clients across industries. Datalicious turns data into actionable insights through high-scalable cloud platforms and a team of analytics experts.
Netflix Recommender System : Big Data Case StudyKetan Patil
Netflix faced the challenge of personalized recommendations at scale for its growing user base and content catalog. It developed a recommender system using 3 computation layers - online, offline, and nearline - to process petabytes of user data from ratings, streams, and other sources. This system saved Netflix $1 billion per year by improving user engagement and satisfaction through more accurate recommendations.
A rough template to use and abuse when pitching Raw Fury (or other publishers as well, of course) Feel free to steal the structure and modify it as you see fit.
For a more in-depth explanation on How To Pitch Raw Fury:
https://rawfury.com/how-to-pitch-to-raw-fury/
This document discusses optimizing supply chains with Neo4j graph databases. It notes that supply chains have complex relationships that are naturally modeled as graphs. It promotes Neo4j's graph database, tools, and algorithms for building digital twins of supply chains for purposes like visibility, optimization, and calculating scope 3 carbon emissions. Examples are given of companies using Neo4j for supply chain applications like routing, asset management, and equipment maintenance.
Graphs in Automotive and Manufacturing - Unlock New Value from Your DataNeo4j
This document discusses how graph databases like Neo4j can be used in automotive and manufacturing industries. It outlines use cases like supply chain management, warranty analytics, customer 360 views, and knowledge graphs. Examples are given of how graphs could help with supply chain optimization, predictive analytics, customer experience, and new product development. The presentation concludes with case studies of companies using Neo4j for applications such as integrated product data management, lessons learned databases, and product 360 views.
Building an Enterprise Knowledge Graph @Uber: Lessons from RealityJoshua Shinavier
This document summarizes Uber's experience building an enterprise knowledge graph. It notes that Uber has over 200,000 managed datasets and billions of trips served, making it an ideal testbed for a knowledge graph. However, it also outlines several lessons learned, including that real-world data is messy, an RDF-based approach is difficult, and property graphs alone are insufficient. The document advocates standardizing on shared vocabularies, fitting tools and data models to existing infrastructure, and collaborating across teams.
At DCG, we've gotten extremely excited about a project at the intersection of crypto and VR called Decentraland. This presentation provides a brief description of what Decentraland is and explains why we think it could be the next big thing.
We find this project super inspiring and we're doing a lot to accelerate the development of this ecosystem. Hopefully you see what we see!
Join us for this 30-minute webinar to hear from Zach Blumenfeld, Neo4j’s Data Science Specialist, to learn the basics of Graph Neural Networks (GNNs) and how they can help you to improve predictions in your data.
The document discusses knowledge graphs and their value for organizations. It notes that two-thirds of Neo4j customers have implemented knowledge graphs and that 88% of CXOs believe knowledge graphs will significantly improve business outcomes. Knowledge graphs are described as interconnected datasets enriched with meaning to enable complex decision-making. Examples of how knowledge graphs have helped companies with recommendations, fraud detection, and track and trace are provided.
Easily Identify Sources of Supply Chain GridlockNeo4j
Join us for this 20-minute webinar to hear from Nick Johnson, Product Marketing Manager for Graph Data Science, as he explains the fundamentals of Neo4j Graph Data Science and its applications in optimizing supply chain management. Discover how leveraging graph analytics can help you identify bottlenecks, reduce costs, and streamline your supply chain operations more efficiently.
10 Digital Marketing Trends covering different tools to help digital marketers in 2015. Presented by Dave Chaffey at the Smart Insights Digital Impact conference.
Improving Machine Learning using Graph AlgorithmsNeo4j
Graph enhancements to AI and ML are changing the landscape of intelligent applications. In this session, we’ll focus on how using connected features can help improve the accuracy, precision, and recall of machine learning models. You’ll learn how graph algorithms can provide more predictive features as well as aid in feature selection to reduce overfitting. We’ll look at a link prediction example to predict collaboration with measurable improvement when including graph-based features.
This presentation discusses new trends in fan engagement around sport industry but can be applied to other industries as well. myQuiz.org is a platform which allows fan engagement via gamification.
DAMA Webinar - Big and Little Data QualityDATAVERSITY
While technological innovation brings constant change to the data landscape, many organizations still struggle with the basics: ensuring they have reliable, high quality data. In health care, the promise of insight to be gained through analytics is dependent on ensuring the interactions between providers and patients are recorded accurately and completely. While traditional health care data is dependent on person-to-person contact, new technologies are emerging that change how health care is delivered and how health care data is captured, stored, accessed and used. Using health care as a lens through which to understand the emergence of big data, this presentation will ask the audience to think about data in old and new ways in order to gain insight about how to improve the quality of data, regardless of size.
We live in a data driven world. Our ability to generate and store data is increasing exponentially but, with data comes the need to analyse it and communicate it. Data stories such as infographics can bring facts to life, and is a way to simplify and help make sense and order out of a disparate collection of facts. Learn simple strategies to engage all students in authentic, integrated, inquiry learning which blends computational methods with digital graphics to visualise data in meaningful, interesting and more dynamic ways. See how you can engage your students in building effective stories from the hidden insights locked within the data they are exploring.
Master the art of Low-Code.
Learn the coding basics you need to supercharge your no-code projects.
Discover the whole course content including videos, transcripts and examples: lowcodestarterpack.com
Master the art of Low-Code.
Learn the coding basics you need to supercharge your no-code projects.
Discover the whole course content including videos, transcripts and examples: lowcodestarterpack.com
SQL is a language used to communicate with databases. It allows users to write queries to extract information from databases by interrogating them. Common database systems that can be interacted with using SQL include MySQL, SQL Server, Oracle, PostgreSQL and more.
JSON (JavaScript Object Notation) is a file format used to store data structures and objects. It allows hierarchical data to be stored and returned from APIs. JSON uses pairs of key-value pairs separated by commas to store properties of different data types like strings, numbers, booleans, arrays, and objects. Special characters in JSON strings need to be escaped. The JSON.parse and JSON.stringify methods allow converting between JSON and JavaScript objects. Websites like JSON View, JSON Lint, and JSON Grid can be used to view, validate, and interact with JSON data.
Master the art of Low-Code.
Learn the coding basics you need to supercharge your no-code projects.
Discover the whole course content including videos, transcripts and examples: lowcodestarterpack.com
Master the art of Low-Code.
Learn the coding basics you need to supercharge your no-code projects.
Discover the whole course content including videos, transcripts and examples: lowcodestarterpack.com
Control flow determines the order in which a computer executes statements in a script. It uses constructs like if/else statements, for loops, and while loops. If/else statements allow executing one statement if a condition is true, or an alternative statement if the condition is false. For loops repeat a statement a specific number of times, while while loops repeat a statement as long as a condition remains true.
Master the art of Low-Code.
Learn the coding basics you need to supercharge your no-code projects.
Discover the whole course content including videos, transcripts and examples: lowcodestarterpack.com
Master the art of Low-Code.
Learn the coding basics you need to supercharge your no-code projects.
Discover the whole course content including videos, transcripts and examples: lowcodestarterpack.com
Master the art of Low-Code.
Learn the coding basics you need to supercharge your no-code projects.
Discover the whole course content including videos, transcripts and examples: lowcodestarterpack.com
This document discusses three powerful modules in Integromat: Webhooks, HTTP, and PostgreSQL. Webhooks allow sending and receiving data from external applications using a webhook URL. The HTTP module allows sending HTTP requests with options to specify the URL, method, headers, query string, and body. PostgreSQL support is coming soon.
Master the art of Low-Code.
Learn the coding basics you need to supercharge your no-code projects.
Discover the whole course content including videos, transcripts and examples: lowcodestarterpack.com
Master the art of Low-Code.
Learn the coding basics you need to supercharge your no-code projects.
Discover the whole course content including videos, transcripts and examples: lowcodestarterpack.com
Master the art of Low-Code.
Learn the coding basics you need to supercharge your no-code projects.
Discover the whole course content including videos, transcripts and examples: lowcodestarterpack.com
Master the art of Low-Code.
Learn the coding basics you need to supercharge your no-code projects.
Discover the whole course content including videos, transcripts and examples: lowcodestarterpack.com
HTTP is the protocol that allows computers to exchange information over the web. It uses a client-server model where browsers act as clients that send HTTP requests to servers, which then return HTTP responses with HTML, CSS, and JavaScript files to display new web pages. When a user enters a URL in their browser, it sends an HTTP request to the designated server, which returns a response containing the files to render and display the requested page.
Master the art of Low-Code.
Learn the coding basics you need to supercharge your no-code projects.
Discover the whole course content including videos, transcripts and examples: lowcodestarterpack.com
Master the art of Low-Code.
Learn the coding basics you need to supercharge your no-code projects.
Discover the whole course content including videos, transcripts and examples: lowcodestarterpack.com
Master the art of Low-Code.
Learn the coding basics you need to supercharge your no-code projects.
Discover the whole course content including videos, transcripts and examples: lowcodestarterpack.com
This document provides an overview of advanced features in Airtable including apps, automations, scripting, and APIs. It explains that apps can be installed from the app marketplace to customize dashboards, automations can be used or created to manage workflows, JavaScript scripts can be written using the scripting app or inside automations, and each Airtable base has its own API that is accessible through documentation.
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
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.)
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).