Využití nástroje Splunk ke sběru, analýze a reportingu nejen v oblasti business a security, ale také v oblasti infrastruktury. Sběr nestrukturovaných dat, která produkují firemní systémy, aplikace, uživatelé a jejich následné zpracování je naprosto zásadní. Splunk umožňuje z těchto dat těžit opomíjenou hodnotu. Díky tomu získáte kompletní náhled na dění ve firmě z pohledu provozovaných systémů. A to v reálném čase.
Hunk - nasazení analytiky nad Hadoopem do 60 minutKamil Brzak
Dokument ukazuje postup, jakým lze za pomoci Splunk edice pro Hadoop docílit velmi rychlého nasazení a analýzy dat.
Celý proces je optimalizován tak, aby doba od první aktivity k prvním výsledkům nepřekročila 60 minut.
This short document promotes the creation of Haiku Deck presentations on SlideShare by stating it provides inspiration and allows users to get started making their own presentations. It encourages the reader to create presentations on the Haiku Deck platform hosted on SlideShare.
Explore, Analyze and Visualize Data in Hadoop and NoSQL. Make massive quantities of machine data accessible, usable and valuable for the people who need it, at the speed they need it. Use Hunk to turn underutilized data into valuable insights in minutes, not weeks or months.
Splunk is an open platform for collecting, analyzing, and reporting data across systems. It can handle large volumes and varieties of data from any source, provide real-time analysis and reporting, and help with business intelligence, customer behavior analysis, and more. Some use cases include analyzing why customers leave websites, identifying customer behavior to predict preferences, and collecting IoT data from devices. Splunk has flexible licensing and scalable deployments to meet various business needs.
The document discusses the DIKW (Data, Information, Knowledge, Wisdom) hierarchy and how it relates to big data. It defines each level as:
Data as "know-nothing" without meaning; Information as making sense of data to "know-what"; Knowledge as applying lessons from information to "know-how"; and Wisdom as evaluating knowledge through experience to "know-why" and predict outcomes. It argues big data tools must help transition between each level, from collecting and sorting large datasets into meaningful information, deriving actionable insights, and enabling accurate predictions.
The document provides an overview of Hunk, a product from Splunk that allows users to explore, analyze and visualize data stored in Hadoop. Some key points:
- Hunk uses virtual indexes to enable searching of data in Hadoop using Splunk's interface and capabilities without needing to move the data. It handles MapReduce jobs behind the scenes.
- It provides an interactive interface for business users to explore and query data in Hadoop in an easy and flexible way, with the ability to preview results while MapReduce jobs are running.
- Integration with Hadoop is done through Hadoop client libraries, requiring only read access to data stored in HDFS. Hunk supports various Hadoop distributions and operating
Využití nástroje Splunk ke sběru, analýze a reportingu nejen v oblasti business a security, ale také v oblasti infrastruktury. Sběr nestrukturovaných dat, která produkují firemní systémy, aplikace, uživatelé a jejich následné zpracování je naprosto zásadní. Splunk umožňuje z těchto dat těžit opomíjenou hodnotu. Díky tomu získáte kompletní náhled na dění ve firmě z pohledu provozovaných systémů. A to v reálném čase.
Hunk - nasazení analytiky nad Hadoopem do 60 minutKamil Brzak
Dokument ukazuje postup, jakým lze za pomoci Splunk edice pro Hadoop docílit velmi rychlého nasazení a analýzy dat.
Celý proces je optimalizován tak, aby doba od první aktivity k prvním výsledkům nepřekročila 60 minut.
This short document promotes the creation of Haiku Deck presentations on SlideShare by stating it provides inspiration and allows users to get started making their own presentations. It encourages the reader to create presentations on the Haiku Deck platform hosted on SlideShare.
Explore, Analyze and Visualize Data in Hadoop and NoSQL. Make massive quantities of machine data accessible, usable and valuable for the people who need it, at the speed they need it. Use Hunk to turn underutilized data into valuable insights in minutes, not weeks or months.
Splunk is an open platform for collecting, analyzing, and reporting data across systems. It can handle large volumes and varieties of data from any source, provide real-time analysis and reporting, and help with business intelligence, customer behavior analysis, and more. Some use cases include analyzing why customers leave websites, identifying customer behavior to predict preferences, and collecting IoT data from devices. Splunk has flexible licensing and scalable deployments to meet various business needs.
The document discusses the DIKW (Data, Information, Knowledge, Wisdom) hierarchy and how it relates to big data. It defines each level as:
Data as "know-nothing" without meaning; Information as making sense of data to "know-what"; Knowledge as applying lessons from information to "know-how"; and Wisdom as evaluating knowledge through experience to "know-why" and predict outcomes. It argues big data tools must help transition between each level, from collecting and sorting large datasets into meaningful information, deriving actionable insights, and enabling accurate predictions.
The document provides an overview of Hunk, a product from Splunk that allows users to explore, analyze and visualize data stored in Hadoop. Some key points:
- Hunk uses virtual indexes to enable searching of data in Hadoop using Splunk's interface and capabilities without needing to move the data. It handles MapReduce jobs behind the scenes.
- It provides an interactive interface for business users to explore and query data in Hadoop in an easy and flexible way, with the ability to preview results while MapReduce jobs are running.
- Integration with Hadoop is done through Hadoop client libraries, requiring only read access to data stored in HDFS. Hunk supports various Hadoop distributions and operating
Big Data and Big Dinosaurs in Jurassic WorldKamil Brzak
The document discusses big data visualization tools used by INGEN, the fictional company in the movie Jurassic World, to monitor all sensors around the dinosaur island of Nublar. It notes there are many sensors tracking animal paddocks, attractions, and the animals themselves. The document suggests that in 2015, if asked what tool INGEN should use, the answer would be Splunk, implying Splunk is well-suited for visualizing and analyzing large streams of data from various sources.
This document discusses 7x Evo:Rail, a hyper-converged infrastructure appliance that unifies computing, storage, networking, management and support services. It uses both HDD and SSD storage with virtualization technology like VSAN or ScaleIO. The appliance is sized to support 250 linked virtual desktops. While it provides high availability within a single data center, it does not yet support active-active clusters across multiple data centers. Competitors to Evo:Rail include other hyper-converged appliances based on the Evo:Rail reference architecture from various vendors.
Splunk is here for a years. It was born, it grews and passed the maturity level. What that three sentences mean? Very simply said – it is time to play. I found out, that to play within Splunk is joy, happiness, relax and so it came to my mind to share that experience with people. I looked for a proper tool that could help me to convey all that with others, Ray shows me how. And Eugen assists.
So that is my way to approach big data, because All is essentialy big data. To see it is kind of step to consciousness, isn’t it?
„Ainu“ znamená v jazyce Ainů „člověk“. Je to výraz, který zdůrazňuje protiváhu člověka vůči bohům. Podobně jako v shinto4, také Ainu uctívají mnoho božstev (kamuy), jejichž původ obsahuje celou šíři lidského konání, obsahuje živé i neživé objekty a je nerozlučně spjat s přírodou. Proto se můžeme setkat s abstraktnějšími božstvy (ohně, vody, bouří, hor, …), stejně jako hmatatelnými (medvěd, liška, houby, borovice, …) nebo přímo věcmi, jež vyráběly ruce vedené boží vůlí (např. lodě) a božstvy ochraňujícími příbytky.
The Glance Card is a new tool that aims to improve hiring abilities by providing a standardized A5 card with key information about an individual, including a photo, slogan, top skills and contact details, allowing for easy comparison of candidates. The benefits of the Glance Card include brevity, emphasis on important information only, and use as a self-reflection and presentation tool for both recruiters and job seekers. Opportunities exist to develop the Glance Card into networking software or a new standard for professional communication.
Natural Language Processing (NLP), RAG and its applications .pptxfkyes25
1. In the realm of Natural Language Processing (NLP), knowledge-intensive tasks such as question answering, fact verification, and open-domain dialogue generation require the integration of vast and up-to-date information. Traditional neural models, though powerful, struggle with encoding all necessary knowledge within their parameters, leading to limitations in generalization and scalability. The paper "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks" introduces RAG (Retrieval-Augmented Generation), a novel framework that synergizes retrieval mechanisms with generative models, enhancing performance by dynamically incorporating external knowledge during inference.
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
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
Big Data and Big Dinosaurs in Jurassic WorldKamil Brzak
The document discusses big data visualization tools used by INGEN, the fictional company in the movie Jurassic World, to monitor all sensors around the dinosaur island of Nublar. It notes there are many sensors tracking animal paddocks, attractions, and the animals themselves. The document suggests that in 2015, if asked what tool INGEN should use, the answer would be Splunk, implying Splunk is well-suited for visualizing and analyzing large streams of data from various sources.
This document discusses 7x Evo:Rail, a hyper-converged infrastructure appliance that unifies computing, storage, networking, management and support services. It uses both HDD and SSD storage with virtualization technology like VSAN or ScaleIO. The appliance is sized to support 250 linked virtual desktops. While it provides high availability within a single data center, it does not yet support active-active clusters across multiple data centers. Competitors to Evo:Rail include other hyper-converged appliances based on the Evo:Rail reference architecture from various vendors.
Splunk is here for a years. It was born, it grews and passed the maturity level. What that three sentences mean? Very simply said – it is time to play. I found out, that to play within Splunk is joy, happiness, relax and so it came to my mind to share that experience with people. I looked for a proper tool that could help me to convey all that with others, Ray shows me how. And Eugen assists.
So that is my way to approach big data, because All is essentialy big data. To see it is kind of step to consciousness, isn’t it?
„Ainu“ znamená v jazyce Ainů „člověk“. Je to výraz, který zdůrazňuje protiváhu člověka vůči bohům. Podobně jako v shinto4, také Ainu uctívají mnoho božstev (kamuy), jejichž původ obsahuje celou šíři lidského konání, obsahuje živé i neživé objekty a je nerozlučně spjat s přírodou. Proto se můžeme setkat s abstraktnějšími božstvy (ohně, vody, bouří, hor, …), stejně jako hmatatelnými (medvěd, liška, houby, borovice, …) nebo přímo věcmi, jež vyráběly ruce vedené boží vůlí (např. lodě) a božstvy ochraňujícími příbytky.
The Glance Card is a new tool that aims to improve hiring abilities by providing a standardized A5 card with key information about an individual, including a photo, slogan, top skills and contact details, allowing for easy comparison of candidates. The benefits of the Glance Card include brevity, emphasis on important information only, and use as a self-reflection and presentation tool for both recruiters and job seekers. Opportunities exist to develop the Glance Card into networking software or a new standard for professional communication.
Natural Language Processing (NLP), RAG and its applications .pptxfkyes25
1. In the realm of Natural Language Processing (NLP), knowledge-intensive tasks such as question answering, fact verification, and open-domain dialogue generation require the integration of vast and up-to-date information. Traditional neural models, though powerful, struggle with encoding all necessary knowledge within their parameters, leading to limitations in generalization and scalability. The paper "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks" introduces RAG (Retrieval-Augmented Generation), a novel framework that synergizes retrieval mechanisms with generative models, enhancing performance by dynamically incorporating external knowledge during inference.
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
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
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.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
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
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
State of Artificial intelligence Report 2023kuntobimo2016
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.
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."