Euroscipy2018
•
0 likes•166 views
This document discusses data visualization libraries for the web. It introduces Altair, which allows creating Vega and Vega-Lite specifications in Python. Altair provides a declarative API to map data to visual properties and marks. Specifications can be rendered in Jupyter notebooks or embedded in web applications using Vega-Embed without dependencies on the backend technology. The document demonstrates integrating Altair charts generated from a backend API in a Vue.js application.
Report
Share
Report
Share
Download to read offline
Recommended
WangNan_Resume
Nan Wang is seeking a software developer internship. She has over 4 years of experience in object-oriented and web programming, data analysis, and problem solving. She has a Bachelor's degree in Computer Information Technology from the University of Pennsylvania and a Bachelor's degree in Electrical Engineering and Automation from Wuhan University. Her skills include programming languages like C/C++, Python, Java, SQL, Ruby on Rails, and Node.js. She has experience with projects using Ruby on Rails, AWS, Google Maps API, Node.js, SQL, MongoDB, and Hibernate GWT.
An introduction to Pentaho
Pentaho is an open-source business intelligence system that offers analytics, visual data integration, OLAP, reports, dashboards, data mining, and ETL capabilities. It includes both a server and client components, which are available for Windows, Linux, and Mac OSX. The server provides analytics, dashboarding, reporting, and data access services, while the client offers data integration, big data support, report design, data mining, metadata management, and other tools. Pentaho also has an extensive library of plugins and supports visual drag-and-drop development of ETL jobs and integration with Hadoop for big data analytics.
Building Application Dashboards Using Wire Cloud
Building Application Dashboards Using WireCloud presentation, by Alvaro Arranz García.
UPM Researcher. WireCloud lead / architect.
1st FIWARE Summit, Málaga Dec. 13-15, 2016.
Azure Data Factory Data Flow Preview December 2019
Visual Data Flow in Azure Data Factory provides a limited preview of data flows that allow users to visually design transformations on data. It features implicit staging of data in data lakes, explicit selection of data sources and transformations through a toolbox interface, and setting of properties for transformation steps and destination connectors. The preview is intended to get early feedback to help shape the future of Visual Data Flow.
TSS - Beyond Data Grid
In this session, we will discuss DataGrid usage and integration patterns that go beyond the typical Cache#put and Cache#get. Attendees will share their own experiences and we will discuss:
• How DataGrid can be used with ESB to provide a reliable and fault tolerant SEDA implementation (based on Mule);
• How a DataGrid can be used to execute dynamic jobs ala MapReduce using scripting languages;
• How a DataGrid can be used to scale Lucene index storage, as well as use Compass to index the DataGrid.
Power BI Deep Dive - Tips and Tricks From the Preview Program
You've seen what Power BI can do. From lightning fast data mashups to dynamics reports to natural language queries. The question now is, "how do I get it to work for me?". That's what this session is all about. It will show you what's behind those impressive demonstrations, how they work, and what you need to do to make Power BI work for you.
Power BI has had a long preview program, and there have been many lessons learned along the way. This session will share those lessons, outlining some "best practices" when using Power BI. All of the constituent components will be covered - Excel, Power Pivot, Power View, Power Map, Office 365, BI Sites, and the Data Management Gateway. After attending this session, you'll be able to roll out Power BI and avoid the pitfalls.
Dreamforce 2014 - Introduction to d3.js
If a picture is worth a thousand words, a visualization combined with common sense is more powerful than complex analytical algorithms. Join us as we introduce D3.js (Data Driven Document, an HTML/SVG/CSS/Javascript Visualization library) to developers who are limited by current charting options and interested in rolling out special visualizations to solve interesting data representation problems.
Qiuyu Jiang_resume
Qiuyu Jiang has over 3 years of experience in desktop and web application development. They have created applications using technologies like WPF, Silverlight, Android, and web frameworks like Bootstrap. Their work involves tasks like parsing protocols, managing large datasets, designing user interfaces, and developing communication between hardware and software. They have a Master's degree in Computer Science from Northeastern University and have experience with projects involving big data analysis, machine learning classification, and developing recommendation and visualization systems using various APIs and programming languages. Their technical skills include languages like Java, Python, C/C++, C#, databases like SQL Server and MySQL, and IDEs like Eclipse and Visual Studio.
Recommended
WangNan_Resume
Nan Wang is seeking a software developer internship. She has over 4 years of experience in object-oriented and web programming, data analysis, and problem solving. She has a Bachelor's degree in Computer Information Technology from the University of Pennsylvania and a Bachelor's degree in Electrical Engineering and Automation from Wuhan University. Her skills include programming languages like C/C++, Python, Java, SQL, Ruby on Rails, and Node.js. She has experience with projects using Ruby on Rails, AWS, Google Maps API, Node.js, SQL, MongoDB, and Hibernate GWT.
An introduction to Pentaho
Pentaho is an open-source business intelligence system that offers analytics, visual data integration, OLAP, reports, dashboards, data mining, and ETL capabilities. It includes both a server and client components, which are available for Windows, Linux, and Mac OSX. The server provides analytics, dashboarding, reporting, and data access services, while the client offers data integration, big data support, report design, data mining, metadata management, and other tools. Pentaho also has an extensive library of plugins and supports visual drag-and-drop development of ETL jobs and integration with Hadoop for big data analytics.
Building Application Dashboards Using Wire Cloud
Building Application Dashboards Using WireCloud presentation, by Alvaro Arranz García.
UPM Researcher. WireCloud lead / architect.
1st FIWARE Summit, Málaga Dec. 13-15, 2016.
Azure Data Factory Data Flow Preview December 2019
Visual Data Flow in Azure Data Factory provides a limited preview of data flows that allow users to visually design transformations on data. It features implicit staging of data in data lakes, explicit selection of data sources and transformations through a toolbox interface, and setting of properties for transformation steps and destination connectors. The preview is intended to get early feedback to help shape the future of Visual Data Flow.
TSS - Beyond Data Grid
In this session, we will discuss DataGrid usage and integration patterns that go beyond the typical Cache#put and Cache#get. Attendees will share their own experiences and we will discuss:
• How DataGrid can be used with ESB to provide a reliable and fault tolerant SEDA implementation (based on Mule);
• How a DataGrid can be used to execute dynamic jobs ala MapReduce using scripting languages;
• How a DataGrid can be used to scale Lucene index storage, as well as use Compass to index the DataGrid.
Power BI Deep Dive - Tips and Tricks From the Preview Program
You've seen what Power BI can do. From lightning fast data mashups to dynamics reports to natural language queries. The question now is, "how do I get it to work for me?". That's what this session is all about. It will show you what's behind those impressive demonstrations, how they work, and what you need to do to make Power BI work for you.
Power BI has had a long preview program, and there have been many lessons learned along the way. This session will share those lessons, outlining some "best practices" when using Power BI. All of the constituent components will be covered - Excel, Power Pivot, Power View, Power Map, Office 365, BI Sites, and the Data Management Gateway. After attending this session, you'll be able to roll out Power BI and avoid the pitfalls.
Dreamforce 2014 - Introduction to d3.js
If a picture is worth a thousand words, a visualization combined with common sense is more powerful than complex analytical algorithms. Join us as we introduce D3.js (Data Driven Document, an HTML/SVG/CSS/Javascript Visualization library) to developers who are limited by current charting options and interested in rolling out special visualizations to solve interesting data representation problems.
Qiuyu Jiang_resume
Qiuyu Jiang has over 3 years of experience in desktop and web application development. They have created applications using technologies like WPF, Silverlight, Android, and web frameworks like Bootstrap. Their work involves tasks like parsing protocols, managing large datasets, designing user interfaces, and developing communication between hardware and software. They have a Master's degree in Computer Science from Northeastern University and have experience with projects involving big data analysis, machine learning classification, and developing recommendation and visualization systems using various APIs and programming languages. Their technical skills include languages like Java, Python, C/C++, C#, databases like SQL Server and MySQL, and IDEs like Eclipse and Visual Studio.
SSAS Tabular model importance and uses
This document provides an overview of Microsoft SQL Server Analysis Services (SSAS) tabular models. It discusses the different modes in SSAS including multidimensional and tabular. The key differences between multidimensional and tabular models are described. Tabular models are better suited for tools like Power View, Power BI, and SQL Server Reporting Services. The document demonstrates how to build a sample tabular model in SQL Server Management Studio and Analysis Services including adding data, measures, columns, and other model elements. New features of tabular models in SQL Server 2017 like the user interface and DAX functions are also summarized.
Cosmosdb graph
SQL databases use a relational model and are vertically scalable, while NoSQL databases are non-relational, horizontally scalable, and support semi-structured or unstructured data. NoSQL databases provide eventual consistency and are easier for programmers to use compared to SQL databases, which support atomic transactions but can be more difficult for programmers. Common types of NoSQL databases include document, graph, key-value pair, and column-oriented databases.
Micro strategy 7i
This document provides an overview of topics covered in a data warehousing course, including conceptual modeling using ERWIN, ETL processes using Informatica, OLAP reporting with Business Objects and Cognos, and data integration with DataStage. The course covers data warehousing fundamentals, dimensional modeling, creating ETL mappings and workflows, building OLAP cubes and reports, and MicroStrategy project development. Students will learn key data warehousing concepts and how to use various tools to design, implement, and analyze a data warehouse.
Azure Data Factory Data Flow Limited Preview for January 2019
Azure Data Factory introduces Visual Data Flow, a limited preview feature that allows users to visually design data flows without writing code. It provides a drag-and-drop interface for users to select data sources, place transformations on imported data, and choose destinations for transformed data. The flows are run on Azure and default to using Azure Data Lake Storage for staging transformed data, though users can optionally configure other staging options. The feature supports common data formats and transformations like sorting, merging, joining, and lookups.
Total Knockout: Start-to-Finish Development of Suitability Applications Using...
The document discusses developing suitability mapping applications using Image Server, D3.js, and Knockout.js. Raster data is preprocessed in ArcGIS Server and used to create an image service. Knockout is used to bind raster data from the image service to the view model and automatically update the UI. D3 or Highcharts can be used for data visualization. The application should be developed with a mobile-friendly interface to work across devices.
Www.sandeepsachan.com
This document discusses ASP.NET MVC and the S#arp Architecture framework. It introduces the Model-View-Controller pattern and describes ASP.NET MVC and S#arp Architecture. S#arp Architecture is an open source project that uses ASP.NET MVC, NHibernate for ORM, and other technologies to help build maintainable web applications with a focus on separating concerns. The document provides steps for setting up a sample music store application using S#arp Architecture and technologies it supports.
SQL Server 2016 Discovery Day - Data Visualization using R and Power BI
This document outlines a presentation on data visualization using R and Power BI. The agenda includes an introduction to Power BI and R, the Power BI products and architecture, using the Power BI Desktop with R, navigation and visualization in Power BI with R. There will be demonstrations of connecting R to Power BI to create visualizations and insights. The speaker's contact information is provided at the end for questions.
Implemeting Sencha Ext JS in Drupal
This document discusses using Sencha Ext JS, a JavaScript framework, to improve the graphical user interface (GUI) of a Drupal website. It describes common setups where Ext JS provides the frontend GUI and Drupal serves as the backend supplying content. The document also introduces the Ext Module, a custom module that facilitates integrating Ext JS and Drupal using a Model-View-Controller architecture and RESTful services to exchange data.
U-SQL Learning Resources (SQLBits 2016)
This document provides additional resources for learning about U-SQL, including tools, blogs, videos, documentation, forums, and feedback pages. It highlights that U-SQL unifies SQL's declarativity with C# extensibility, can query both structured and unstructured data, and unifies local and remote queries. People are encouraged to sign up for an Azure Data Lake account to use U-SQL and provide feedback.
Jordan Torres Resume Feb 2020
Jordan Torres is a software developer with experience in full stack web development using technologies like Node.js, Bootstrap, and PDF libraries. He has worked as a software developer for Recurb Solutions and General Motors, developing REST services and applications handling over 100 million requests monthly. Torres has a Bachelor's degree in Computer Science from the University of Texas at Austin and lists proficiency in languages like Java, C#, and SQL along with experience in Javascript, XML, Swift, C++, and Python. He has created personal projects involving artificial intelligence, web games, and robotics programming.
Apache Arrow: Open Source Standard Becomes an Enterprise Necessity
Talk from Dremio's Subsurface conference on March 3, 2022. Discusses applications of Arrow and Voltron Data's new Enterprise Subscription offering
Solving Enterprise Data Challenges with Apache Arrow
This document discusses Apache Arrow, an open-source library that enables fast and efficient data interchange and processing. It summarizes the growth of Arrow and its ecosystem, including new features like the Arrow C++ query engine and Arrow Rust DataFusion. It also highlights how enterprises are using Arrow to solve challenges around data interoperability, access speed, query performance, and embeddable analytics. Case studies describe how companies like Microsoft, Google Cloud, Snowflake, and Meta leverage Arrow in their products and platforms. The presenter promotes Voltron Data's enterprise subscription and upcoming conference to support business use of Apache Arrow.
Apache Arrow at DataEngConf Barcelona 2018
Wes McKinney is a leading open source developer who created Python's pandas library and now leads the Apache Arrow project. Apache Arrow is an open standard for in-memory analytics that aims to improve data sharing and reuse across systems by defining a common columnar data format and memory layout. It allows data to be accessed and algorithms to be reused across different programming languages with near-zero data copying. Arrow is being integrated into various data systems and is working to expand its computational libraries and language support.
H2O at BelgradeR Meetup
The document summarizes a presentation given by Joe Chow on H2O at the BelgradeR Meetup. The agenda includes an introduction to H2O, the company, why H2O is useful, the H2O machine learning platform, Deep Water for deep learning, latest H2O developments, and demos. Joe will discuss H2O's introduction to machine learning, distributed algorithms, interfaces for R, Python and Flow, and Deep Water for distributed deep learning on GPUs with TensorFlow, MXNet or Caffe.
Belgrade R - Intro to H2O and Deep Water
The document provides an agenda and summary of a presentation on H2O.ai's machine learning platform and recent developments. The presentation includes an introduction to H2O, the company and why their platform H2O is useful. It demonstrates H2O's machine learning capabilities including deep learning, and discusses latest features like integrating xgboost and automatic machine learning. Real-world examples and demos are also provided to illustrate how to use H2O with R, Python and via its web interface.
Share point 2013 cop v4
The document provides a sneak peek at new features in SharePoint 2013. It summarizes features for sharing ideas through social networking capabilities, organizing projects and tasks, and discovering information. The document also outlines changes for developers, IT professionals, and new capabilities for designing and building sites, managing workflows, and browser support.
SharePoint 2013 Sneak Peek
This session provides a “Sneak Peek” of SharePoint 2013 IT Pro / Developer perspective. The session is designed to help the audience to understand the changes architectural changes have occurred, storage considerations, browser support, social media supports, workflows and ect… This is a must attend session for leading edge SharePoint IT Pro/Developer looking to jump start their 2013 experience curve.
Power BI
This document provides an overview of Power BI including its key capabilities and components. Power BI is a business analytics service that allows users to discover, visualize, and share insights from data. It includes the Power BI service, Power BI Desktop, and mobile apps. The document discusses Power BI's visualizations, content packs, data refresh options using gateways, row-level security, embedding reports into applications, and includes a planned demo.
Myth Busters II: BI Tools and Data Virtualization are Interchangeable
Watch Here: https://bit.ly/2NcqU6F
We take on the 2nd myth about data virtualization and it’s one that suggests a BI tool can substitute a data virtualization software.
You might be thinking: If I can have multi-source queries and define a logical model in my reporting tool, why would I need a data virtualization software?
Reporting tools, no doubt important and necessary, focus on the visualization of data and it’s presentation to the business user. Data virtualization is a governed data access layer designed to connect to and provide transparency of all enterprise data.
Yet the myth suggests that these technologies are interchangeable. So we’re going to take it on!
Watch this webinar as we compare and contrast BI tools and data virtualization to draw a final conclusion.
Introducing Kafka's Streams API
The document introduces Apache Kafka's Streams API for stream processing. Some key points covered include:
- The Streams API allows building stream processing applications without needing a separate cluster, providing an elastic, scalable, and fault-tolerant processing engine.
- It integrates with existing Kafka deployments and supports both stateful and stateless computations on data in Kafka topics.
- Applications built with the Streams API are standard Java applications that run on client machines and leverage Kafka for distributed, parallel processing and fault tolerance via state stores in Kafka.
Apache Cassandra Lunch 119: Desktop GUI Tools for Apache Cassandra
In Apache Cassandra Lunch #119, Rahul Singh will cover a refresher on GUI desktop/web tools for users that want to get their hands dirty with Cassandra but don't want to deal with CQLSH to do simple queries. Some of the tools are web-based and others are installed on your desktop. Since the beginning days of Cassandra, a lot has changed and there are many options for command-line-haters to use Cassandra.
201905 Azure Databricks for Machine Learning
This presentation focuses on the value proposition for Azure Databricks for Data Science. First, the talk includes an overview of the merits of Azure Databricks and Spark. Second, the talk includes demos of data science on Azure Databricks. Finally, the presentation includes some ideas for data science production.
More Related Content
What's hot
SSAS Tabular model importance and uses
This document provides an overview of Microsoft SQL Server Analysis Services (SSAS) tabular models. It discusses the different modes in SSAS including multidimensional and tabular. The key differences between multidimensional and tabular models are described. Tabular models are better suited for tools like Power View, Power BI, and SQL Server Reporting Services. The document demonstrates how to build a sample tabular model in SQL Server Management Studio and Analysis Services including adding data, measures, columns, and other model elements. New features of tabular models in SQL Server 2017 like the user interface and DAX functions are also summarized.
Cosmosdb graph
SQL databases use a relational model and are vertically scalable, while NoSQL databases are non-relational, horizontally scalable, and support semi-structured or unstructured data. NoSQL databases provide eventual consistency and are easier for programmers to use compared to SQL databases, which support atomic transactions but can be more difficult for programmers. Common types of NoSQL databases include document, graph, key-value pair, and column-oriented databases.
Micro strategy 7i
This document provides an overview of topics covered in a data warehousing course, including conceptual modeling using ERWIN, ETL processes using Informatica, OLAP reporting with Business Objects and Cognos, and data integration with DataStage. The course covers data warehousing fundamentals, dimensional modeling, creating ETL mappings and workflows, building OLAP cubes and reports, and MicroStrategy project development. Students will learn key data warehousing concepts and how to use various tools to design, implement, and analyze a data warehouse.
Azure Data Factory Data Flow Limited Preview for January 2019
Azure Data Factory introduces Visual Data Flow, a limited preview feature that allows users to visually design data flows without writing code. It provides a drag-and-drop interface for users to select data sources, place transformations on imported data, and choose destinations for transformed data. The flows are run on Azure and default to using Azure Data Lake Storage for staging transformed data, though users can optionally configure other staging options. The feature supports common data formats and transformations like sorting, merging, joining, and lookups.
Total Knockout: Start-to-Finish Development of Suitability Applications Using...
The document discusses developing suitability mapping applications using Image Server, D3.js, and Knockout.js. Raster data is preprocessed in ArcGIS Server and used to create an image service. Knockout is used to bind raster data from the image service to the view model and automatically update the UI. D3 or Highcharts can be used for data visualization. The application should be developed with a mobile-friendly interface to work across devices.
Www.sandeepsachan.com
This document discusses ASP.NET MVC and the S#arp Architecture framework. It introduces the Model-View-Controller pattern and describes ASP.NET MVC and S#arp Architecture. S#arp Architecture is an open source project that uses ASP.NET MVC, NHibernate for ORM, and other technologies to help build maintainable web applications with a focus on separating concerns. The document provides steps for setting up a sample music store application using S#arp Architecture and technologies it supports.
SQL Server 2016 Discovery Day - Data Visualization using R and Power BI
This document outlines a presentation on data visualization using R and Power BI. The agenda includes an introduction to Power BI and R, the Power BI products and architecture, using the Power BI Desktop with R, navigation and visualization in Power BI with R. There will be demonstrations of connecting R to Power BI to create visualizations and insights. The speaker's contact information is provided at the end for questions.
Implemeting Sencha Ext JS in Drupal
This document discusses using Sencha Ext JS, a JavaScript framework, to improve the graphical user interface (GUI) of a Drupal website. It describes common setups where Ext JS provides the frontend GUI and Drupal serves as the backend supplying content. The document also introduces the Ext Module, a custom module that facilitates integrating Ext JS and Drupal using a Model-View-Controller architecture and RESTful services to exchange data.
U-SQL Learning Resources (SQLBits 2016)
This document provides additional resources for learning about U-SQL, including tools, blogs, videos, documentation, forums, and feedback pages. It highlights that U-SQL unifies SQL's declarativity with C# extensibility, can query both structured and unstructured data, and unifies local and remote queries. People are encouraged to sign up for an Azure Data Lake account to use U-SQL and provide feedback.
Jordan Torres Resume Feb 2020
Jordan Torres is a software developer with experience in full stack web development using technologies like Node.js, Bootstrap, and PDF libraries. He has worked as a software developer for Recurb Solutions and General Motors, developing REST services and applications handling over 100 million requests monthly. Torres has a Bachelor's degree in Computer Science from the University of Texas at Austin and lists proficiency in languages like Java, C#, and SQL along with experience in Javascript, XML, Swift, C++, and Python. He has created personal projects involving artificial intelligence, web games, and robotics programming.
What's hot (10)
Azure Data Factory Data Flow Limited Preview for January 2019
Azure Data Factory Data Flow Limited Preview for January 2019
Total Knockout: Start-to-Finish Development of Suitability Applications Using...
Total Knockout: Start-to-Finish Development of Suitability Applications Using...
SQL Server 2016 Discovery Day - Data Visualization using R and Power BI
SQL Server 2016 Discovery Day - Data Visualization using R and Power BI
Similar to Euroscipy2018
Apache Arrow: Open Source Standard Becomes an Enterprise Necessity
Talk from Dremio's Subsurface conference on March 3, 2022. Discusses applications of Arrow and Voltron Data's new Enterprise Subscription offering
Solving Enterprise Data Challenges with Apache Arrow
This document discusses Apache Arrow, an open-source library that enables fast and efficient data interchange and processing. It summarizes the growth of Arrow and its ecosystem, including new features like the Arrow C++ query engine and Arrow Rust DataFusion. It also highlights how enterprises are using Arrow to solve challenges around data interoperability, access speed, query performance, and embeddable analytics. Case studies describe how companies like Microsoft, Google Cloud, Snowflake, and Meta leverage Arrow in their products and platforms. The presenter promotes Voltron Data's enterprise subscription and upcoming conference to support business use of Apache Arrow.
Apache Arrow at DataEngConf Barcelona 2018
Wes McKinney is a leading open source developer who created Python's pandas library and now leads the Apache Arrow project. Apache Arrow is an open standard for in-memory analytics that aims to improve data sharing and reuse across systems by defining a common columnar data format and memory layout. It allows data to be accessed and algorithms to be reused across different programming languages with near-zero data copying. Arrow is being integrated into various data systems and is working to expand its computational libraries and language support.
H2O at BelgradeR Meetup
The document summarizes a presentation given by Joe Chow on H2O at the BelgradeR Meetup. The agenda includes an introduction to H2O, the company, why H2O is useful, the H2O machine learning platform, Deep Water for deep learning, latest H2O developments, and demos. Joe will discuss H2O's introduction to machine learning, distributed algorithms, interfaces for R, Python and Flow, and Deep Water for distributed deep learning on GPUs with TensorFlow, MXNet or Caffe.
Belgrade R - Intro to H2O and Deep Water
The document provides an agenda and summary of a presentation on H2O.ai's machine learning platform and recent developments. The presentation includes an introduction to H2O, the company and why their platform H2O is useful. It demonstrates H2O's machine learning capabilities including deep learning, and discusses latest features like integrating xgboost and automatic machine learning. Real-world examples and demos are also provided to illustrate how to use H2O with R, Python and via its web interface.
Share point 2013 cop v4
The document provides a sneak peek at new features in SharePoint 2013. It summarizes features for sharing ideas through social networking capabilities, organizing projects and tasks, and discovering information. The document also outlines changes for developers, IT professionals, and new capabilities for designing and building sites, managing workflows, and browser support.
SharePoint 2013 Sneak Peek
This session provides a “Sneak Peek” of SharePoint 2013 IT Pro / Developer perspective. The session is designed to help the audience to understand the changes architectural changes have occurred, storage considerations, browser support, social media supports, workflows and ect… This is a must attend session for leading edge SharePoint IT Pro/Developer looking to jump start their 2013 experience curve.
Power BI
This document provides an overview of Power BI including its key capabilities and components. Power BI is a business analytics service that allows users to discover, visualize, and share insights from data. It includes the Power BI service, Power BI Desktop, and mobile apps. The document discusses Power BI's visualizations, content packs, data refresh options using gateways, row-level security, embedding reports into applications, and includes a planned demo.
Myth Busters II: BI Tools and Data Virtualization are Interchangeable
Watch Here: https://bit.ly/2NcqU6F
We take on the 2nd myth about data virtualization and it’s one that suggests a BI tool can substitute a data virtualization software.
You might be thinking: If I can have multi-source queries and define a logical model in my reporting tool, why would I need a data virtualization software?
Reporting tools, no doubt important and necessary, focus on the visualization of data and it’s presentation to the business user. Data virtualization is a governed data access layer designed to connect to and provide transparency of all enterprise data.
Yet the myth suggests that these technologies are interchangeable. So we’re going to take it on!
Watch this webinar as we compare and contrast BI tools and data virtualization to draw a final conclusion.
Introducing Kafka's Streams API
The document introduces Apache Kafka's Streams API for stream processing. Some key points covered include:
- The Streams API allows building stream processing applications without needing a separate cluster, providing an elastic, scalable, and fault-tolerant processing engine.
- It integrates with existing Kafka deployments and supports both stateful and stateless computations on data in Kafka topics.
- Applications built with the Streams API are standard Java applications that run on client machines and leverage Kafka for distributed, parallel processing and fault tolerance via state stores in Kafka.
Apache Cassandra Lunch 119: Desktop GUI Tools for Apache Cassandra
In Apache Cassandra Lunch #119, Rahul Singh will cover a refresher on GUI desktop/web tools for users that want to get their hands dirty with Cassandra but don't want to deal with CQLSH to do simple queries. Some of the tools are web-based and others are installed on your desktop. Since the beginning days of Cassandra, a lot has changed and there are many options for command-line-haters to use Cassandra.
201905 Azure Databricks for Machine Learning
This presentation focuses on the value proposition for Azure Databricks for Data Science. First, the talk includes an overview of the merits of Azure Databricks and Spark. Second, the talk includes demos of data science on Azure Databricks. Finally, the presentation includes some ideas for data science production.
Best analytics tool
This document compares and contrasts the capabilities of three leading business intelligence (BI) and analytics tools: Tableau, Qlik, and Microsoft Power BI. It examines their data acquisition and connectivity, analytics capabilities, visualization features, third-party integration options, and product families. The conclusion is that while Tableau focuses on easy drag-and-drop self-service BI, Power BI has advantages due to Microsoft's resources and its integration of R and D3.js for advanced analytics and visualization.
AMIS Oracle OpenWorld & CodeOne Review - Pillar 2 - Custom Application Develo...
Custom application development according to Oracle is primarily relevant for extending SaaS applications and creating customer experiences. The current recommended approach for building graphical user interface (on web and mobile) is through low code Visual Builder with high code JET injections when required. An alternative low code stack is available from Oracle in the form of APEX, This slide set discusses the above as well as ADF and Forms. It then introduces Digital Assistant, talks about the state and future of Java and concludes with CI/CD and DevOps. As presented on November 5th 2018 at AMIS HQ, Nieuwegein, The Netherlands.
AMIS Oracle OpenWorld en Code One Review 2018 - Pillar 2: Custom Application ...
AMIS Oracle OpenWorld en Code One Review 2018 - Pillar 2: Custom Application ...Getting value from IoT, Integration and Data Analytics
The annual review session by the AMIS team on their findings, interpretations and opinions regarding news, trends, announcements and roadmaps around Oracle's product portfolio. Big Data and NoSQL for Database and BI Pros
This document provides an agenda and overview for a conference session on Big Data and NoSQL for database and BI professionals held from April 10-12 in Chicago, IL. The session will include an overview of big data and NoSQL technologies, then deeper dives into Hadoop, NoSQL databases like HBase, and tools like Hive, Pig, and Sqoop. There will also be demos of technologies like HDInsight, Elastic MapReduce, Impala, and running MapReduce jobs.
MongoDB Charts Meetup - 7-24-2018
MongoDB Charts is a new tool for visualizing data stored in MongoDB collections without needing to write custom code, move data to another system, or purchase third-party tools. It allows creating various chart types directly from MongoDB data sources using an interactive web interface. The demo showed installing Charts by deploying it as a Docker container, connecting it to an Atlas database for metadata storage, and creating a sample chart to visualize live MongoDB data without extracting or transforming the data first.
Making Data Scientists Productive in Azure
Slides from my talk at Big Data Conference 2018 in Vilnius
Doing data science today is far more difficult than it will be in the next 5-10 years. Sharing, collaborating on data science workflows in painful, pushing models into production is challenging.
Let’s explore what Azure provides to ease Data Scientists’ pains. What tools and services can we choose based on a problem definition, skillset or infrastructure requirements?
In this talk, you will learn about Azure Machine Learning Studio, Azure Databricks, Data Science Virtual Machines and Cognitive Services, with all the perks and limitations.
Sap integration with_j_boss_technologies
The document discusses various approaches for integrating SAP systems with JBoss middleware technologies. It describes Red Hat JBoss products like EAP, Fuse, and SOA Platform that can be used for integration. It then covers different SAP integration technologies like the REST-based SAP NetWeaver Gateway, SOAP-based Enterprise Services, and Remote Function Calls. Recommendations are provided for when to take a data-centric approach using the Gateway or a process-centric approach using Hibersap and JCA. Examples of each approach are given.
profile_rajasekar
Rajasekar has over 6 years of experience developing websites and products using open-source frameworks like PHP, jQuery, HTML, CSS, and content management systems like Wordpress, Drupal, and Opencart. He has strong technical skills in areas like Ajax, JSON, and REST APIs. Some of the projects he has worked on include an e-commerce site for cannabis products, an online shopping mall finder, a corporate website, an online media store, and a social media application with video timelines.
Similar to Euroscipy2018 (20)
Apache Arrow: Open Source Standard Becomes an Enterprise Necessity
Apache Arrow: Open Source Standard Becomes an Enterprise Necessity
Solving Enterprise Data Challenges with Apache Arrow
Solving Enterprise Data Challenges with Apache Arrow
Myth Busters II: BI Tools and Data Virtualization are Interchangeable
Myth Busters II: BI Tools and Data Virtualization are Interchangeable
Apache Cassandra Lunch 119: Desktop GUI Tools for Apache Cassandra
Apache Cassandra Lunch 119: Desktop GUI Tools for Apache Cassandra
AMIS Oracle OpenWorld & CodeOne Review - Pillar 2 - Custom Application Develo...
AMIS Oracle OpenWorld & CodeOne Review - Pillar 2 - Custom Application Develo...
AMIS Oracle OpenWorld en Code One Review 2018 - Pillar 2: Custom Application ...
AMIS Oracle OpenWorld en Code One Review 2018 - Pillar 2: Custom Application ...
Recently uploaded
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
UIUC毕业证offer【微信95270640】☀《伊利诺伊大学|厄巴纳-香槟分校毕业证购买》GoogleQ微信95270640《UIUC毕业证模板办理》加拿大文凭、本科、硕士、研究生学历都可以做,二、业务范围：
★、全套服务：毕业证、成绩单、化学专业毕业证书伪造《伊利诺伊大学|厄巴纳-香槟分校大学毕业证》Q微信95270640《UIUC学位证书购买》
(诚招代理)办理国外高校毕业证成绩单文凭学位证,真实使馆公证（留学回国人员证明）真实留信网认证国外学历学位认证雅思代考国外学校代申请名校保录开请假条改GPA改成绩ID卡
1.高仿业务:【本科硕士】毕业证,成绩单（GPA修改）,学历认证（教育部认证）,大学Offer,,ID,留信认证,使馆认证,雅思,语言证书等高仿类证书；
2.认证服务: 学历认证（教育部认证）,大使馆认证（回国人员证明）,留信认证（可查有编号证书）,大学保录取,雅思保分成绩单。
3.技术服务：钢印水印烫金激光防伪凹凸版设计印刷激凸温感光标底纹镭射速度快。
办理伊利诺伊大学|厄巴纳-香槟分校伊利诺伊大学|厄巴纳-香槟分校毕业证offer流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
-办理真实使馆公证（即留学回国人员证明）
-办理各国各大学文凭（世界名校一对一专业服务,可全程监控跟踪进度）
-全套服务：毕业证成绩单真实使馆公证真实教育部认证。让您回国发展信心十足！
（详情请加一下 文凭顾问+微信:95270640）欢迎咨询！的鬼地方父亲的家在高楼最底屋最下面很矮很黑是很不显眼的地下室父亲的家安在别人脚底下须绕过高楼旁边的垃圾堆下八个台阶才到父亲的家很狭小除了一张单人床和一张小方桌几乎没有多余的空间山娃一下子就联想起学校的男小便处山娃很想笑却怎么也笑不出来山娃很迷惑父亲的家除了一扇小铁门连窗户也没有墓穴一般阴森森有些骇人父亲的城也便成了山娃的城父亲的家也便成了山娃的家父亲让山娃呆在屋里做作业看电视最多只能在门口透透气间
State of Artificial intelligence Report 2023
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
原版定制【微信:41543339】【(UofS毕业证书)萨省大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
毕业原版【微信:176555708】【(UCSF毕业证书)旧金山分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
End-to-end pipeline agility - Berlin Buzzwords 2024
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
毕业原版【微信:41543339】【(爱大毕业证书)爱丁堡大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
毕业原版【微信:176555708】【(UCSB毕业证书)圣芭芭拉分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
The Ipsos - AI - Monitor 2024 Report.pdf
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
Global Situational Awareness of A.I. and where its headed
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
原版一模一样【微信：741003700 】【(uts毕业证书)悉尼科技大学毕业证学历证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
一比一原版(Harvard毕业证书)哈佛大学毕业证如何办理
毕业原版【微信:41543339】【(Harvard毕业证书)哈佛大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
毕业原版【微信:176555708】【(GWU,GW毕业证书)乔治·华盛顿大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
原版定制【微信:41543339】【(UniSA毕业证书)南澳大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
University of New South Wales degree offer diploma Transcript
澳洲UNSW毕业证书制作新南威尔士大学假文凭定制Q微168899991做UNSW留信网教留服认证海牙认证改UNSW成绩单GPA做UNSW假学位证假文凭高仿毕业证申请新南威尔士大学University of New South Wales degree offer diploma Transcript
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Learn SQL from basic queries to Advance queries
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Recently uploaded (20)
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Global Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headed
University of New South Wales degree offer diploma Transcript
University of New South Wales degree offer diploma Transcript
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
Euroscipy2018
- 1. Data Visualizations for the web with Altair and Vega-Lite Patrick Mühlbauer @tmuxbee 1
- 2. Blue Yonder - Predicting bananas 2
- 5. Visualizations help us and our customers to understand the data 5
- 6. Customer visible dashboards • great interactive visualization library targeting modern web browsers • provides environment to write dashboards in purely Python • Bokeh(js) introduces its own dependencies 6 What about Bokeh?
- 7. Customer visible dashboards Data Scientists • create ML models with Python and its scientific stack (numpy, Pandas, …) • want to use the same tools for visualizing their results => Bokeh is a very good solution Frontend Developers • use mostly Javascript and CSS • create charts with libraries like d3.js, Highcharts, … • want to choose dependencies independent from the backend => Bokeh becomes a burden 7
- 8. Vega and Vega-Lite Vega is a declarative format for creating, saving, and sharing visualization designs. With Vega, visualizations are described in JSON, … Vega-Lite is a simplified version of Vega. Vega-Lite specifications compile to Vega specifications. https://vega.github.io/ 8
- 9. Vega(-Lite) specs in Python 9
- 12. Altair Summary • declarative Python API • based on Vega and Vega-Lite • datasets specified as Pandas DataFrames • Encodings: mapping properties of the data to visual properties (e.g. x-axis, y-axis, color, shape) • Marks: how to represent attributes on the plot • Selections to create interactions • no own rendering: render Vega(-Lite) specs using existing visualization libraries 12
- 13. Embedding charts in web applications 13 https://github.com/vega/vega-embed
- 15. Altair in a web application 15 Backend API [{“product_id”:“1000”,“product_name”:“Banana”}, …]
- 16. Altair in a web application 16 Backend API
- 17. Altair in a web application 17 Backend API
- 18. Altair in a web application 18 Frontend html ( Vue.js + Vuetify.js can be exchanged with any other framework)
- 19. Altair in a web application 19 Frontend js ( Vue.js + Vuetify.js can be exchanged with any other framework)
- 20. Altair in a web application 20 Frontend js ( Vue.js + Vuetify.js can be exchanged with any other framework)
- 21. 21
- 22. Summary 22 • Vega grammar as base for creating visualizations • Altair to create Vega(-Lite) specifications with Python • it’s easy to embed Vega based visualizations in different environments (Jupyterlab, Webbrowsers, …)
- 23. 23 We are hiring