Previously posted here http://www.slideshare.net/shotaz/cql-cassandra-query-language
slideshare doesn't allow updating usernames so I got a new account. More detailed info on CQL see http://crlog.info/2011/09/17/cassandra-query-language-cql-v2-0-reference/
Introduction to Data Modeling with Apache CassandraLuke Tillman
Relational systems have always been built on the premise of modeling relationships. As you will see, static schema, one-to-one, many-to-many still have a place in Cassandra. From the familiar, we’ll go into the specific differences in Cassandra and tricks to make your application fast and resilient.
Apache Cassandra For Java Developers - Why, What and How. LJC @ UCL October 2014Johnny Miller
The document describes an agenda for a Cassandra training event on December 3rd and 4th, including an introduction to Cassandra, Spark, and related tools on the 3rd, and a Cassandra Summit conference on the 4th to learn how companies are using Cassandra to grow their businesses. It also provides information about DataStax as the main commercial backer of Cassandra and their Cassandra-based products and services.
This document discusses CQL, the Cassandra Query Language. CQL is designed to be similar to SQL but with some differences to account for Cassandra's data model. The presentation provides an overview of CQL's syntax and capabilities, discusses why CQL was created to provide a more stable interface than Cassandra's native protocol, and analyzes CQL's performance compared to the native protocol. Future roadmap items for CQL are also presented, including prepared statements and custom transports. Available CQL drivers for languages like Java, Python, Ruby, and Node.js are also briefly mentioned.
This document discusses integrating the Python driver for Cassandra into Python applications. It covers connecting to Cassandra, executing queries, prepared statements, asynchronous queries, object mapping with cqlengine, and best practices for application development including using virtual environments. The presentation aims to make working with Cassandra from Python straightforward and high performing.
Cassandra is great but how do I test my application?Christopher Batey
The document discusses testing Cassandra applications and introduces Stubbed Cassandra, a tool for testing Cassandra drivers. Stubbed Cassandra allows priming a fake Cassandra server to return expected responses or errors. It can be used to test failure scenarios, edge cases, and retry policies. The tool has Java and REST APIs and makes it possible to quickly test Cassandra applications in a deterministic and non-brittle way.
CQL is a structured query language for Cassandra that replaces clients. It features a familiar SQL-like syntax for querying Cassandra in a user-friendly way. Key CQL commands include CREATE KEYSPACE, CREATE COLUMNFAMILY, SELECT, UPDATE, DELETE, BATCH, and DROP. Consistency levels can be specified for commands using USING and valid options are CONSISTENCY ZERO to CONSISTENCY DCQUORUMSYNC.
To date, Hadoop usage has focused primarily on offline analysis--making sense of web logs, parsing through loads of unstructured data in HDFS, etc. But what if you want to run map/reduce against your live data set without affecting online performance? Combining Hadoop with Cassandra's multi-datacenter replication capabilities makes this possible. If you're interested in getting value from your data without the hassle and latency of first moving it into Hadoop, this talk is for you. I'll show you how to connect all the parts, enabling you to write map/reduce jobs or run Pig queries against your live data. As a bonus I'll cover writing map/reduce in Scala, which is particularly well-suited for the task.
CQL has evolved over time from an alternative to the Thrift API in Cassandra 0.8 to become the primary interface for Cassandra queries. It started with basic keywords like SELECT, UPDATE, and DELETE in V1.0 and has expanded functionality with each new version, including features in the unreleased V3 that could change before its finalization. While CQL aims to use familiar SQL syntax, there is some debate around its design and some terminology challenges as it rapidly develops to match Cassandra's growth from a small project. The document argues that despite controversies, CQL is ready for production use based on the author's experience with their 150GB per day cluster.
Introduction to Data Modeling with Apache CassandraLuke Tillman
Relational systems have always been built on the premise of modeling relationships. As you will see, static schema, one-to-one, many-to-many still have a place in Cassandra. From the familiar, we’ll go into the specific differences in Cassandra and tricks to make your application fast and resilient.
Apache Cassandra For Java Developers - Why, What and How. LJC @ UCL October 2014Johnny Miller
The document describes an agenda for a Cassandra training event on December 3rd and 4th, including an introduction to Cassandra, Spark, and related tools on the 3rd, and a Cassandra Summit conference on the 4th to learn how companies are using Cassandra to grow their businesses. It also provides information about DataStax as the main commercial backer of Cassandra and their Cassandra-based products and services.
This document discusses CQL, the Cassandra Query Language. CQL is designed to be similar to SQL but with some differences to account for Cassandra's data model. The presentation provides an overview of CQL's syntax and capabilities, discusses why CQL was created to provide a more stable interface than Cassandra's native protocol, and analyzes CQL's performance compared to the native protocol. Future roadmap items for CQL are also presented, including prepared statements and custom transports. Available CQL drivers for languages like Java, Python, Ruby, and Node.js are also briefly mentioned.
This document discusses integrating the Python driver for Cassandra into Python applications. It covers connecting to Cassandra, executing queries, prepared statements, asynchronous queries, object mapping with cqlengine, and best practices for application development including using virtual environments. The presentation aims to make working with Cassandra from Python straightforward and high performing.
Cassandra is great but how do I test my application?Christopher Batey
The document discusses testing Cassandra applications and introduces Stubbed Cassandra, a tool for testing Cassandra drivers. Stubbed Cassandra allows priming a fake Cassandra server to return expected responses or errors. It can be used to test failure scenarios, edge cases, and retry policies. The tool has Java and REST APIs and makes it possible to quickly test Cassandra applications in a deterministic and non-brittle way.
CQL is a structured query language for Cassandra that replaces clients. It features a familiar SQL-like syntax for querying Cassandra in a user-friendly way. Key CQL commands include CREATE KEYSPACE, CREATE COLUMNFAMILY, SELECT, UPDATE, DELETE, BATCH, and DROP. Consistency levels can be specified for commands using USING and valid options are CONSISTENCY ZERO to CONSISTENCY DCQUORUMSYNC.
To date, Hadoop usage has focused primarily on offline analysis--making sense of web logs, parsing through loads of unstructured data in HDFS, etc. But what if you want to run map/reduce against your live data set without affecting online performance? Combining Hadoop with Cassandra's multi-datacenter replication capabilities makes this possible. If you're interested in getting value from your data without the hassle and latency of first moving it into Hadoop, this talk is for you. I'll show you how to connect all the parts, enabling you to write map/reduce jobs or run Pig queries against your live data. As a bonus I'll cover writing map/reduce in Scala, which is particularly well-suited for the task.
CQL has evolved over time from an alternative to the Thrift API in Cassandra 0.8 to become the primary interface for Cassandra queries. It started with basic keywords like SELECT, UPDATE, and DELETE in V1.0 and has expanded functionality with each new version, including features in the unreleased V3 that could change before its finalization. While CQL aims to use familiar SQL syntax, there is some debate around its design and some terminology challenges as it rapidly develops to match Cassandra's growth from a small project. The document argues that despite controversies, CQL is ready for production use based on the author's experience with their 150GB per day cluster.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
The realm of product design is a constantly changing environment where technology and style intersect. Every year introduces fresh challenges and exciting trends that mold the future of this captivating art form. In this piece, we delve into the significant trends set to influence the look and functionality of product design in the year 2024.
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
Creative operations teams expect increased AI use in 2024. Currently, over half of tasks are not AI-enabled, but this is expected to decrease in the coming year. ChatGPT is the most popular AI tool currently. Business leaders are more actively exploring AI benefits than individual contributors. Most respondents do not believe AI will impact workforce size in 2024. However, some inhibitions still exist around AI accuracy and lack of understanding. Creatives primarily want to use AI to save time on mundane tasks and boost productivity.
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A report by thenetworkone and Kurio.
The contributing experts and agencies are (in an alphabetical order): Sylwia Rytel, Social Media Supervisor, 180heartbeats + JUNG v MATT (PL), Sharlene Jenner, Vice President - Director of Engagement Strategy, Abelson Taylor (USA), Alex Casanovas, Digital Director, Atrevia (ES), Dora Beilin, Senior Social Strategist, Barrett Hoffher (USA), Min Seo, Campaign Director, Brand New Agency (KR), Deshé M. Gully, Associate Strategist, Day One Agency (USA), Francesca Trevisan, Strategist, Different (IT), Trevor Crossman, CX and Digital Transformation Director; Olivia Hussey, Strategic Planner; Simi Srinarula, Social Media Manager, The Hallway (AUS), James Hebbert, Managing Director, Hylink (CN / UK), Mundy Álvarez, Planning Director; Pedro Rojas, Social Media Manager; Pancho González, CCO, Inbrax (CH), Oana Oprea, Head of Digital Planning, Jam Session Agency (RO), Amy Bottrill, Social Account Director, Launch (UK), Gaby Arriaga, Founder, Leonardo1452 (MX), Shantesh S Row, Creative Director, Liwa (UAE), Rajesh Mehta, Chief Strategy Officer; Dhruv Gaur, Digital Planning Lead; Leonie Mergulhao, Account Supervisor - Social Media & PR, Medulla (IN), Aurelija Plioplytė, Head of Digital & Social, Not Perfect (LI), Daiana Khaidargaliyeva, Account Manager, Osaka Labs (UK / USA), Stefanie Söhnchen, Vice President Digital, PIABO Communications (DE), Elisabeth Winiartati, Managing Consultant, Head of Global Integrated Communications; Lydia Aprina, Account Manager, Integrated Marketing and Communications; Nita Prabowo, Account Manager, Integrated Marketing and Communications; Okhi, Web Developer, PNTR Group (ID), Kei Obusan, Insights Director; Daffi Ranandi, Insights Manager, Radarr (SG), Gautam Reghunath, Co-founder & CEO, Talented (IN), Donagh Humphreys, Head of Social and Digital Innovation, THINKHOUSE (IRE), Sarah Yim, Strategy Director, Zulu Alpha Kilo (CA).
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The search marketing landscape is evolving rapidly with new technologies, and professionals, like you, rely on innovative paid search strategies to meet changing demands.
It’s important that you’re ready to implement new strategies in 2024.
Check this out and learn the top trends in paid search advertising that are expected to gain traction, so you can drive higher ROI more efficiently in 2024.
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With over one billion views in a year, it’s no wonder that so many speakers are looking to TED for ideas on how to share their message more effectively.
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See the full article and more summaries like this on SpeakerHub here: https://speakerhub.com/blog/5-presentation-tips-ted-gives-its-speakers
See the original article on Forbes here:
http://www.forbes.com/forbes/welcome/?toURL=http://www.forbes.com/sites/carminegallo/2016/05/06/5-public-speaking-tips-ted-gives-its-speakers/&refURL=&referrer=#5c07a8221d9b
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Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Cql cassandra query language
1. CQL – CASSANDRA QUERY LANGUAGE
Courtney Robinson – crlog.info
@ Eric Evans (Python tests and CQL Spec)
2. THRIFT OR AVRO?
External dependency
Community activity dissipates
Too generic
Many user reported problems caused by Thrift or
the misuse thereof...
Its thrift!
Its Avro!
Its CQL....
3. WHAT IS IT?
Effectively a structured query language
Replacement for clients? Not really...
Attempting to push as much server-side as possible
Familiar syntax
User friendly API for Cassandra new comers
4. CQL V1.0.0 - KEYWORDS
USE
SELECT
That’s right!
UPDATE
DELETE
No INSERT...?
TRUNCATE
DROP
BATCH
SPECIAL STATEMENTS
CREATE KEYSPACE
CREATE COLUMNFAMILY
CREATE INDEX
5. SPECIFYING CONSISTENCY
... USING <CONSISTENCY> ...
Made up of the keyword USING, followed by a consistency level identifier.
Valid consistency levels are:
CONSISTENCY ZERO
CONSISTENCY ONE (default)
CONSISTENCY QUORUM
CONSISTENCY ALL
CONSISTENCY DCQUORUM
CONSISTENCY DCQUORUMSYNC
E.g BEGIN BATCH USING CONSISTENCY ONE
6. CREATE KEYSPCE
CREATE KEYSPACE WITH replication_factor = AND strategy_class = [AND
strategy_options. = [AND strategy_options. = ]];
E.g CREATE KEYSPACE TestKeyspace WITH strategy_options:DC1 = '1‘ AND
strategy_class = 'NetworkTopologyStrategy‘
CREATE COLUMN FAMILY
CREATE COLUMNFAMILY [(name1 type, name2 type, ...)] [WITH keyword1 = arg1 [AND
keyword2 = arg2 [AND ...]]];
Set column type:
CREATE COLUMNFAMILY (name1 type, name2 type) ...;
CREATE INDEX
CREATE INDEX [index_name] ON <column_family> (column_name);
Used to create a new, automatic secondary index for the named column.
7. USE
USE <KEYSPACE>;
Use keyword followed by a valid Keyspace name
Set working Keyspace per-connection
DROP
DROP <KEYSPACE|COLUMNFAMILY>;
DROP KEYSPACE KSName;
DROP COLUMNFAMILY CFName;
Immediate, irreversible removal of keyspace and column family
namespaces.
TRUNCATE
TRUNCATE <COLUMN FAMILY>
Accepts a single argument (CF) name
permanently removes all data from said column family.
8. UPDATE (values)
UPDATE [USING CONSISTENCY ]
SET name1 = value1, name2 = value2 WHERE KEY = keyname;
UPDATE is used to write one or more columns to a record in a Cassandra
column family.
No results are returned.
Creates or updates rows
UPDATE CFName SET ‘name' = 10 WHERE KEY = ‘1234’
UPDATE <COLUMN FAMILY> ...
Begin with the UPDATE keyword followed by CF name.
Followed by an optional consistency level specification.
9. BATCH UPDATES
Where‟s my batch mutate gone?
Similar to code blocks/structs
Has begining (Begin Batch) and end (Apply Batch)
BEGIN BATCH [USING ]
UPDATE CF1 SET name1 = value1, name2 = value2 WHERE KEY = keyname1;
UPDATE CF1 SET name3 = value3 WHERE KEY = keyname2;
UPDATE CF2 SET name4 = value4, name5 = value5 WHERE KEY = keyname3;
APPLY BATCH
BEGIN BATCH USING CONSISTENCY QUORUM
UPDATE CFname SET 1='1', 2='2', 3='3', 4='4' WHERE KEY='aa‘
UPDATE CFname2 SET 5='5', 6='6', 7='8', 9='9' WHERE KEY='ab'
UPDATE CFname SET 9='9', 8='8', 7='7', 6='6' WHERE KEY='ac'
UPDATE CFname3 SET 5='5', 4='4', 3='3', 2='2' WHERE KEY='ad'
UPDATE CFname SET 1='1', 2='2', 3='3', 4='4' WHERE KEY='ae'
APPLY BATCH
10. DELETE
DELETE [COLUMNS] FROM [USING ] WHERE KEY =
keyname1
DELETE [COLUMNS] FROM [USING ] WHERE KEY IN
(keyname1, keyname2);
o Remove one or more columns from one or more rows.
o Optional comma-delimited list of column names following
DELETE
o Removes entire row(s) if no columns are specified
o DELETE „col1', 'col2' FROM CF WHERE KEY = 'key„
o
DELETE „col1', 'col2' FROM CF WHERE KEY = ('key„, „key2‟,
„key3‟)
11. SELECT
SELECT [FIRST N] [REVERSED] <SELECT EXPR> FROM <COLUMN FAMILY>
[USING <CONSISTENCY>] [WHERE <CLAUSE>] [LIMIT N];
FIRST = number of columns, N
REVERSED = Reverses sort order
Return a result set, key + columns per row
Specify columns:
SELECT [FIRST N] [REVERSED] name1, name2, name3 FROM ...
Request a range of columns:
SELECT [FIRST N] [REVERSED] name1..nameN FROM ...
“..” Notation specifies range
Inclusive of start and end columns
E.g SELECT FIRST 2 REVERSED 3..1 FROM CF WHERE KEY = 'aa'
12. COURTNEY ROBINSON @ZCOURTS
Thank you for listening.
Questions?
Links:
http://crlog.info/2011/03/29/cassandra-query-language-aka-cql-syntax/
https://svn.apache.org/viewvc/cassandra/trunk/doc/cql/CQL.html?view=co
https://issues.apache.org/jira/browse/CASSANDRA-1703
Editor's Notes
http://wiki.apache.org/cassandra/API#StructuresWritesLevelBehaviorANYEnsure that the write has been written to at least 1 node, including HintedHandoff recipients.ONEEnsure that the write has been written to at least 1 replica's commit log and memory table before responding to the client.QUORUMEnsure that the write has been written to N / 2 + 1 replicas before responding to the client.LOCAL_QUORUMEnsure that the write has been written to <ReplicationFactor> / 2 + 1 nodes, within the local datacenter (requires NetworkTopologyStrategy)EACH_QUORUMEnsure that the write has been written to <ReplicationFactor> / 2 + 1 nodes in each datacenter (requires NetworkTopologyStrategy)ALLEnsure that the write is written to all N replicas before responding to the client. Any unresponsive replicas will fail the operation.ReadsLevelBehaviorANYNot supported. You probably want ONE instead.ONEWill return the record returned by the first replica to respond. A consistency check is always done in a background thread to fix any consistency issues whenConsistencyLevel.ONE is used. This means subsequent calls will have correct data even if the initial read gets an older value. (This is called ReadRepair)QUORUMWill query all replicas and return the record with the most recent timestamp once it has at least a majority of replicas (N / 2 + 1) reported. Again, the remaining replicas will be checked in the background.LOCAL_QUORUMReturns the record with the most recent timestamp once a majority of replicas within the local datacenter have replied.EACH_QUORUMReturns the record with the most recent timestamp once a majority of replicas within each datacenter have replied.ALLWill query all replicas and return the record with the most recent timestamp once all replicas have replied. Any unresponsive replicas will fail the operation.
The CREATE KEYSPACE statement creates a new top-level namespace (aka “keyspace”). Valid names are any string constructed of alphanumeric characters and underscores, but must begin with a letter. Properties such as replication strategy and count are specified during creation using the following accepted keyword arguments:Keywordrequireddescriptionreplication_factor yes Numeric argument that specifies the number of replicas for this keyspace.strategy_class yes Class name to use for managing replica placement. Any of the shipped strategies can be used by specifying the class name relative to org.apache.cassandra.locator, others will need to be fully-qualified and located on the classpath.strategy_options no Some strategies require additional arguments which can be supplied by appending the option name to the strategy_options keyword, separated by a colon (:). For example, a strategy option of “DC1″ with a value of “1″ would be specified as strategy_options:DC1 = 1.Synopsis:CREATE COLUMNFAMILY [(name1 type, name2 type, ...)] [WITH keyword1 = arg1 [AND keyword2 = arg2 [AND ...]]]; CREATE COLUMNFAMILY statements create new column family namespaces under the current keyspace. Valid column family names are strings of alphanumeric characters and underscores, which begin with a letter.Specifying Column Type (optional)CREATE COLUMNFAMILY (name1 type, name2 type) ...; It is possible to assign columns a type during column family creation. Columns configured with a type are validated accordingly when a write occurs. Column types are specified as a parenthesized, comma-separated list of column term and type pairs. The list of recognized types are:Type descriptionBytes Arbitrary bytes (no validation)AsciiASCII character stringUtf8 UTF8 encoded stringTimeuuid Type 1 UUIDUuid Type 4 UUIDInt 4-byte integerLong 8-byte longNote: In addition to the recognized types listed above, it is also possible to supply a string containing the name of a class (a sub-class of AbstractType), either fully qualified, or relative to theorg.apache.cassandra.db.marshalpackage.Column Family Options (optional)CREATE COLUMNFAMILY ... WITH keyword1 = arg1 AND keyword2 = arg2; A number of optional keyword arguments can be supplied to control the configuration of a new column family.Keyword default descriptionComparator utf8 Determines sorting and validation of column names. Valid values are identical to the types listed in Specifying Column Type above.Comment none A free-form, human-readable comment.row_cache_size 0 Number of rows whose entire contents to cache in memory.key_cache_size 200000 Number of keys per SSTable whose locations are kept in memory in “mostly LRU” order.read_repair_chance 1.0 The probability with which read repairs should be invoked on non-quorum reads.gc_grace_seconds 864000 Time to wait before garbage collecting tombstones (deletion markers).default_validation utf8 Determines validation of column values. Valid values are identical to the types listed in Specifying Column Type above.min_compaction_threshold 4 Minimum number of SSTables needed to start a minor compaction.max_compaction_threshold 32 Maximum number of SSTables allowed before a minor compaction is forced.row_cache_save_period_in_seconds 0 Number of seconds between saving row caches.key_cache_save_period_in_seconds 14400 Number of seconds between saving key caches.memtable_flush_after_mins 60 Maximum time to leave a dirty table unflushed.memtable_throughput_in_mb dynamic Maximum size of the memtable before it is flushed.memtable_operations_in_millions dynamic Number of operations in millions before the memtable is flushed.replicate_on_write false
Synopsis:USE <KEYSPACE>; A USE statement consists of the USE keyword, followed by a valid keyspace name. Its purpose is to assign the per-connection, current working keyspace. All subsequent keyspace-specific actions will be performed in the context of the supplied value.Synopsis:DROP <KEYSPACE|COLUMNFAMILY> namespace; DROP statements result in the immediate, irreversible removal of keyspace and column family namespaces.
Synopsis:UPDATE [USING CONSISTENCY ] SET name1 = value1, name2 = value2 WHERE KEY = keyname; An UPDATE is used to write one or more columns to a record in a Cassandra column family. No results are returned.Column FamilyUPDATE <COLUMN FAMILY> ... Statements begin with the UPDATE keyword followed by a Cassandra column family name.Consistency LevelUPDATE ... [USING <CONSISTENCY>] ... Following the column family identifier is an optional consistency level specification.Specifying Columns and RowUPDATE ... SET name1 = value1, name2 = value2 WHERE KEY = keyname; Rows are created or updated by supplying column names and values in term assignment format. Multiple columns can be set by separating the name/value pairs using commas. Each update statement requires exactly one key to be specified using a WHERE clause and the KEY keyword.Additionally, it is also possible to send multiple UPDATES to a node at once using a batch syntax:BEGIN BATCH [USING ] UPDATE CF1 SET name1 = value1, name2 = value2 WHERE KEY = keyname1; UPDATE CF1 SET name3 = value3 WHERE KEY = keyname2; UPDATE CF2 SET name4 = value4, name5 = value5 WHERE KEY = keyname3; APPLY BATCH When batching UPDATEs, a single consistency level is used for the entire batch, it appears after the BEGIN BATCHstatement, and uses the standard consistency level specification. Batch UPDATEs default toCONSISTENCY.ONEwhen left unspecified.NOTE: While there are no isolation guarantees, UPDATE queries are atomic within a give record.
Synopsis:DELETE [COLUMNS] FROM [USING ] WHERE KEY = keyname1 DELETE [COLUMNS] FROM [USING ] WHERE KEY IN (keyname1, keyname2); A DELETE is used to perform the removal of one or more columns from one or more rows.Specifying ColumnsDELETE [COLUMNS] ... Following the DELETE keyword is an optional comma-delimited list of column name terms. When no column names are specified, the remove applies to the entire row(s) matched by the WHERE clauseColumn FamilyDELETE ... FROM <COLUMN FAMILY> ... The column family name follows the list of column names.Consistency LevelUPDATE ... [USING <CONSISTENCY>] ... Following the column family identifier is an optional consistency level specification.Specifying RowsUPDATE ... WHERE KEY = keyname1 UPDATE ... WHERE KEY IN (keyname1, keyname2) The WHERE clause is used to determine which row(s) a DELETE applies to. The first form allows the specification of a single keyname using the KEY keyword and the = operator. The second form allows a list of keyname terms to be specified using the IN notation and a parenthesized list of comma-delimited keyname terms.
Synopsis:SELECT [FIRST N] [REVERSED] <SELECT EXPR> FROM <COLUMN FAMILY> [USING <CONSISTENCY>] [WHERE <CLAUSE>] [LIMIT N]; A SELECT is used to read one or more records from a Cassandra column family. It returns a result-set of rows, where each row consists of a key and a collection of columns corresponding to the query.Specifying ColumnsSELECT [FIRST N] [REVERSED] name1, name2, name3 FROM ... SELECT [FIRST N] [REVERSED] name1..nameN FROM ... The SELECT expression determines which columns will appear in the results and takes the form of either a comma separated list of names, or a range. The range notation consists of a start and end column name separated by two periods (..). The set of columns returned for a range is start and end inclusive.The FIRST option accepts an integer argument and can be used to apply a limit to the number of columns returned per row. When this limit is left unset it defaults to 10,000 columns.The REVERSED option causes the sort order of the results to be reversed.It is worth noting that unlike the projection in a SQL SELECT, there is no guarantee that the results will contain all of the columns specified. This is because Cassandra is schema-less and there are no guarantees that a given column exists.Column FamilySELECT ... FROM <COLUMN FAMILY> ... The FROM clause is used to specify the Cassandra column family applicable to a SELECT query.Consistency LevelSELECT ... [USING <CONSISTENCY>] ... Following the column family clause is an optional consistency level specification.Filtering rowsSELECT ... WHERE KEY = keyname AND name1 = value1 SELECT ... WHERE KEY >= startkey and KEY =< endkey AND name1 = value1 The WHERE clause provides for filtering the rows that appear in results. The clause can filter on a key name, or range of keys, and in the case of indexed columns, on column values. Key filters are specified using the KEYkeyword, a relational operator, (one of =, >, >=, <, and <=), and a term value. When terms appear on both sides of a relational operator it is assumed the filter applies to an indexed column. With column index filters, the term on the left of the operator is the name, the term on the right is the value to filter on.Note: The greater-than and less-than operators (> and <) result in key ranges that are inclusive of the terms. There is no supported notion of “strictly” greater-than or less-than; these operators are merely supported as aliases to >=and <=.LimitsSELECT ... WHERE <CLAUSE> [LIMIT N] ... Limiting the number of rows returned can be achieved by adding the LIMIT option to a SELECT expression. LIMITdefaults to 10,000 when left unset.