This document contains a list of figure numbers from 1 to 12 with some grouped together and others listed separately, showing various groupings of figures. The figures are numbered from 1 to 12 with various grouping structures.
This document contains figures numbered from 1 to 13 with no accompanying text to provide context for the figures. It presents 12 unlabeled figures but does not describe them or their significance.
This document contains figures numbered from 1 to 12 but provides no other text, descriptions, or context for the figures. It appears to be a list of figure numbers without accompanying figure content or explanations.
This document contains 9 figures with no accompanying text to provide context for the figures. It does not contain enough information to generate a meaningful 3 sentence summary.
This document contains figures numbered from 1 to 12 but provides no other text, captions, or context for the figures. It appears to be a list of figure numbers without accompanying images or explanations.
This document contains 10 figures with no accompanying text to provide context for the figures. The document presents 10 unlabeled figures but provides no explanation or captions for the contents of the figures.
This document contains figures numbered from 1 to 14 without any accompanying text to provide context for the figures. It includes 14 sequentially numbered figures but provides no other information about the content or purpose of the figures.
This document contains figures numbered 1 through 13 with no additional context or description provided for each individual figure. The document appears to be presenting 13 separate figures but provides no captions, explanations, or analyses for the content of the figures.
This document contains figures without any accompanying text or captions to provide context for the 15 figures shown. It does not contain any other written content to summarize.
This document contains figures numbered from 1 to 13 with no accompanying text to provide context for the figures. It presents 12 unlabeled figures but does not describe them or their significance.
This document contains figures numbered from 1 to 12 but provides no other text, descriptions, or context for the figures. It appears to be a list of figure numbers without accompanying figure content or explanations.
This document contains 9 figures with no accompanying text to provide context for the figures. It does not contain enough information to generate a meaningful 3 sentence summary.
This document contains figures numbered from 1 to 12 but provides no other text, captions, or context for the figures. It appears to be a list of figure numbers without accompanying images or explanations.
This document contains 10 figures with no accompanying text to provide context for the figures. The document presents 10 unlabeled figures but provides no explanation or captions for the contents of the figures.
This document contains figures numbered from 1 to 14 without any accompanying text to provide context for the figures. It includes 14 sequentially numbered figures but provides no other information about the content or purpose of the figures.
This document contains figures numbered 1 through 13 with no additional context or description provided for each individual figure. The document appears to be presenting 13 separate figures but provides no captions, explanations, or analyses for the content of the figures.
This document contains figures without any accompanying text or captions to provide context for the 15 figures shown. It does not contain any other written content to summarize.
This document contains figures numbered from 1 to 15 without any accompanying text to provide context for the figures. It includes 15 sequentially numbered figures but provides no other information about the content or purpose of the figures.
This document contains 9 figures with no accompanying text to provide context for the figures. The document presents a series of unlabeled figures but provides no explanation or analysis of the content in the figures.
This document contains figures numbered from 1 to 23 with no accompanying text. It appears to be presenting 23 separate figures or images but provides no context or explanation for the content of the figures.
This document contains figures numbered from 1 to 21 with no other text or context provided. It appears to be presenting 21 labeled figures but provides no descriptions or explanations of their contents.
This document contains figures 1 through 9 but provides no other context or explanation for the figures. It does not contain any written text, only a list of figure numbers.
This document contains figures numbered from 1 to 16 without any accompanying text to provide context for the figures. It presents 16 sequentially numbered figures but provides no other information about the content or purpose of the figures.
This document contains 12 figures labeled consecutively from Figure 1 to Figure 12 with each figure on its own line with no additional context or explanation provided.
This document contains 9 figures with no accompanying text to provide context for the figures. It does not contain enough information to generate a meaningful 3 sentence summary.
This document contains 18 figures with no accompanying text to provide context for the contents of the figures. The document solely lists figure numbers from Fig. 1 through Fig. 18 without any explanation of what is depicted in each figure.
This document contains a list of figure numbers from Fig.1 to Fig.15. It provides a simple numerical listing of 15 figure references without any additional context or description. The figures are numbered consecutively from 1 to 15.
This document contains figure references from Fig. 1 through Fig. 11, providing a high-level overview of the content which includes 11 total figures. The figures are referenced sequentially and cover the essential content of the document through visual representations.
This document contains figures numbered from 1 to 13 with no accompanying text to provide context for the figures. It presents 13 sequentially numbered figures but provides no captions, explanations or other details about the content or purpose of the figures.
This document contains 11 pictures without any additional context or description. The pictures are unlabeled and there is no information provided about their content or purpose.
This document contains references to 8 figures but provides no other context or information. The document simply lists the numbers Fig.1 through Fig.8 without any description of the content or purpose of the figures.
This document contains figures numbered from 1 to 14 without any accompanying text to provide context for the figures. It presents 14 sequentially numbered figures but provides no other information about the content or purpose of the figures.
This document contains 8 figures but provides no other context or explanation for the figures. It does not contain enough information to generate a meaningful 3 sentence summary.
This document contains 20 figures labeled Fig.1 through Fig.20 with no other text, descriptions or context provided for the figures. The document appears to be a collection of figures or images but without any accompanying explanation or analysis of the content of the figures.
This document contains 8 figures but provides no other context or explanation for the figures. It does not contain any other text, descriptions, or details about the content of the figures. The document consists solely of figure references from Fig. 1 through Fig. 8.
This document contains figures numbered from 1 to 16 without any accompanying text to provide context for the figures. It appears to be a document consisting solely of sequentially numbered figures but provides no other information about the subject or content of the figures.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
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
This document contains figures numbered from 1 to 15 without any accompanying text to provide context for the figures. It includes 15 sequentially numbered figures but provides no other information about the content or purpose of the figures.
This document contains 9 figures with no accompanying text to provide context for the figures. The document presents a series of unlabeled figures but provides no explanation or analysis of the content in the figures.
This document contains figures numbered from 1 to 23 with no accompanying text. It appears to be presenting 23 separate figures or images but provides no context or explanation for the content of the figures.
This document contains figures numbered from 1 to 21 with no other text or context provided. It appears to be presenting 21 labeled figures but provides no descriptions or explanations of their contents.
This document contains figures 1 through 9 but provides no other context or explanation for the figures. It does not contain any written text, only a list of figure numbers.
This document contains figures numbered from 1 to 16 without any accompanying text to provide context for the figures. It presents 16 sequentially numbered figures but provides no other information about the content or purpose of the figures.
This document contains 12 figures labeled consecutively from Figure 1 to Figure 12 with each figure on its own line with no additional context or explanation provided.
This document contains 9 figures with no accompanying text to provide context for the figures. It does not contain enough information to generate a meaningful 3 sentence summary.
This document contains 18 figures with no accompanying text to provide context for the contents of the figures. The document solely lists figure numbers from Fig. 1 through Fig. 18 without any explanation of what is depicted in each figure.
This document contains a list of figure numbers from Fig.1 to Fig.15. It provides a simple numerical listing of 15 figure references without any additional context or description. The figures are numbered consecutively from 1 to 15.
This document contains figure references from Fig. 1 through Fig. 11, providing a high-level overview of the content which includes 11 total figures. The figures are referenced sequentially and cover the essential content of the document through visual representations.
This document contains figures numbered from 1 to 13 with no accompanying text to provide context for the figures. It presents 13 sequentially numbered figures but provides no captions, explanations or other details about the content or purpose of the figures.
This document contains 11 pictures without any additional context or description. The pictures are unlabeled and there is no information provided about their content or purpose.
This document contains references to 8 figures but provides no other context or information. The document simply lists the numbers Fig.1 through Fig.8 without any description of the content or purpose of the figures.
This document contains figures numbered from 1 to 14 without any accompanying text to provide context for the figures. It presents 14 sequentially numbered figures but provides no other information about the content or purpose of the figures.
This document contains 8 figures but provides no other context or explanation for the figures. It does not contain enough information to generate a meaningful 3 sentence summary.
This document contains 20 figures labeled Fig.1 through Fig.20 with no other text, descriptions or context provided for the figures. The document appears to be a collection of figures or images but without any accompanying explanation or analysis of the content of the figures.
This document contains 8 figures but provides no other context or explanation for the figures. It does not contain any other text, descriptions, or details about the content of the figures. The document consists solely of figure references from Fig. 1 through Fig. 8.
This document contains figures numbered from 1 to 16 without any accompanying text to provide context for the figures. It appears to be a document consisting solely of sequentially numbered figures but provides no other information about the subject or content of the figures.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
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
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
Learn SQL from basic queries to Advance queriesmanishkhaire30
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
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
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.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
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.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
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.