This document discusses datafying (analyzing and working with data from) the Bitcoin blockchain. It notes that while all Bitcoin transactions are publicly recorded, they are pseudo-anonymous. The author ingested over 400,000 blocks and 104 million transactions totaling 69GB of data from the Bitcoin blockchain into Apache Spark to perform queries. Challenges included the complexity of working with JSON data and performance bottlenecks from remote procedure calls. The author compared different processing modes and found that storing data locally provided the best performance. Visualizations of transaction fee trends over time were also created from the analyzed blockchain data.
Atmosphere 2014: Centralized log management based on Logstash and Kibana - ca...PROIDEA
Nowadays cloud enviroments are primary platform for applications. We no longer have multipurpose machines, rather multiple smaller virtual servers with dedicated roles. Therefore there is a need to have one place where we can manage applications and system logs. I wish to share my experience gained while building centralized log managment system using Nxlog, Logstash and Kibana. With that tools we are building cost effective and scalable log managment platform.
Dariusz Eliasz - Works in Allegro Group as a Solution Architect and is responsible for organizing cooperation with infrastructure teams, also leads some of the infrastructure projects. Earlier as an Expert System Administratorhe was related with building and maintaining the infrastructure shared services (i.e. image hosting platform) within Allegro Group.
An technical overview of Ethereum that provides a full picture starting from the original problem of building a distributed ledger and mining up to smart contracts.
Please note that there are no llamas in this presentation.
Presentation at LinuxCon Europe 2016 (Berlin). I introduced the concepts of logging for containers, aggregation patterns, distributted logging, data serialization, Fluentd: internals, architecture, Fluent Bit and it library API.
Atmosphere 2014: Centralized log management based on Logstash and Kibana - ca...PROIDEA
Nowadays cloud enviroments are primary platform for applications. We no longer have multipurpose machines, rather multiple smaller virtual servers with dedicated roles. Therefore there is a need to have one place where we can manage applications and system logs. I wish to share my experience gained while building centralized log managment system using Nxlog, Logstash and Kibana. With that tools we are building cost effective and scalable log managment platform.
Dariusz Eliasz - Works in Allegro Group as a Solution Architect and is responsible for organizing cooperation with infrastructure teams, also leads some of the infrastructure projects. Earlier as an Expert System Administratorhe was related with building and maintaining the infrastructure shared services (i.e. image hosting platform) within Allegro Group.
An technical overview of Ethereum that provides a full picture starting from the original problem of building a distributed ledger and mining up to smart contracts.
Please note that there are no llamas in this presentation.
Presentation at LinuxCon Europe 2016 (Berlin). I introduced the concepts of logging for containers, aggregation patterns, distributted logging, data serialization, Fluentd: internals, architecture, Fluent Bit and it library API.
Conheça o Windows Azure Tables a solução NoSQL fornecida através de uma conta de armazenamento.
Uma conta de armazenamento no Windows Azure fornece 3 estruturas de armazenamento:
Blobs
Tables
Queue
Scaling the logging pipeline requires better understanding of each phase behind the scenes.
Everything about Fluentd as an aggregator and Fluent Bit as it Log Forwarder
Cloud Firestore – From JSON Deserialization to Object Document Mapping (ODM)Minh Dao
This talk deals with a number of techniques that help you get data from Firestore into your Flutter application in a structured and safe manner.
- Updated Firebase setup
- Conventional json parsing
- Enhanced enum classes
- deep_pick library
- json_serializable library
- withConverter
- Firestore ODM
All you need to know about Kotlin's documentation engine Dokka Florian Benz
Kotlin User Group Munich - May 22, 2018
Have you ever wanted to turn Javadoc or KDoc into a format that can easily be processed? Code documentation can not only be used to produce classic Javadoc HTML, but can also be used to enrich REST API documentation or UML diagrams. This talk will teach you everything you need to know about Kotlin's documentation engine Dokka to create custom output formats. Following our journey to get Spring Auto REST Docs to work with Kotlin, we will dive into Dokka. The result is a Dokka extension that turns KDoc into JSON.
Back to Basics German 3: Einführung in Replica SetsMongoDB
Wie Sie ein Cluster für eine Produktionsumgebung erstellen
Wie Sie ein Replica Set anlegen
Wie MongoDB für die Datenpersistenz sorgt und wie ein Replica Set den Betrieb nach einem Ausfall automatisch wieder aufnimmt
Conheça o Windows Azure Tables a solução NoSQL fornecida através de uma conta de armazenamento.
Uma conta de armazenamento no Windows Azure fornece 3 estruturas de armazenamento:
Blobs
Tables
Queue
Scaling the logging pipeline requires better understanding of each phase behind the scenes.
Everything about Fluentd as an aggregator and Fluent Bit as it Log Forwarder
Cloud Firestore – From JSON Deserialization to Object Document Mapping (ODM)Minh Dao
This talk deals with a number of techniques that help you get data from Firestore into your Flutter application in a structured and safe manner.
- Updated Firebase setup
- Conventional json parsing
- Enhanced enum classes
- deep_pick library
- json_serializable library
- withConverter
- Firestore ODM
All you need to know about Kotlin's documentation engine Dokka Florian Benz
Kotlin User Group Munich - May 22, 2018
Have you ever wanted to turn Javadoc or KDoc into a format that can easily be processed? Code documentation can not only be used to produce classic Javadoc HTML, but can also be used to enrich REST API documentation or UML diagrams. This talk will teach you everything you need to know about Kotlin's documentation engine Dokka to create custom output formats. Following our journey to get Spring Auto REST Docs to work with Kotlin, we will dive into Dokka. The result is a Dokka extension that turns KDoc into JSON.
Back to Basics German 3: Einführung in Replica SetsMongoDB
Wie Sie ein Cluster für eine Produktionsumgebung erstellen
Wie Sie ein Replica Set anlegen
Wie MongoDB für die Datenpersistenz sorgt und wie ein Replica Set den Betrieb nach einem Ausfall automatisch wieder aufnimmt
O melhor negócio do MUndo em internet marketing,ganhos de 400 a mais de 1000%.Portal diretório comercial com tecnologia de ponta.
Inscreva-se para conhecer melhor. http://www.amarelasinternet.com/pfredericofernandes
¿Necesitas hacer una diligencia en otra ciudad que no conoces y no tienes para pagar un hotel ni sabes como desplazarte en dicha ciudad? Te traemos Great Company, una nueva he innovadora empresa que se encarga de ayudarte a conseguir alojamiento con personas de la ciudad que tengan algún espacio disponible. También te ofrecemos el servicio de guía y acompañamiento a todos los diferentes lugares a los que tengas que desplazarte, Te invitamos a comentar, y contarnos qué tal te parece esta iniciativa.
Explains what the Blockchain is and how it works. Features slides about the Cryptography, P2P Networking, Blockchain Data Structure, Bitcoin Transactions, Proof of Work Algorithm (Mining) and Scripts.
These are the slides for a talk I gave to the Fredericksburg Linux User Group about Bitcoin and cryptocurrency in general on 2014-02-22. Audio is forthcoming from one of the attendees as a podcast.
An introduction and evaluations of a wide area distributed storage systemHiroki Kashiwazaki
A presentation on Storage Developer Conference (SDC) 2014 in Santa Clara, California. General overview of distcloud until now and the future.
米カリフォルニア州サンタクララで開催された Storage Developer Conference 2014 での発表資料です。distcloud のこれまでとこれからの総括。
You Must Construct Additional Pipelines: Pub-Sub on Kafka at Blizzard confluent
(Stephen Parente + Jeff Field, Blizzard) Kafka Summit SF 2018
Blizzard’s global data platform has become a driving force in both business and operational analytics. As more internal customers onboard with the system, there is increasing demand for custom applications to access this data in near real time. In order to avoid many independent teams with varying levels of Kafka expertise all accessing the firehose from our critical production Kafkas, we developed our own pub-sub system on top of Kafka to provide specific datasets to customers on their own cloud deployed Kafka clusters.
Kiến trúc phần mềm cho các site chịu tải lớn – Software architecture for high traffic Website
Case study giới thiệu về kiến trúc của một site traffic lớn đó là stackoverflow.com - trang hỏi đáp về lập trình rất nổi tiếng
Bài trình bày của bạn Ngô Xuân Hòa tại Meetup 4 của Ha Noi .NET Group.
Chi tiết vui lòng xem tại: http://tungnt.net
Using Blockchain in Geospatial ApplicationsLuis Bermudez
Blockchain is a digital decentralized registry of electronic transactions that are secure and verifiable. The technology is used to record cryptocurrency transactions (e.g. Bitcoin) and smart contracts as well as others; however, very little has been documented about how blockchain can be used in the context of geospatial applications. This presentation will discuss use free open geospatial standards in blockchain.
Ever wondered how a blockchain works. What about bitcoin?
It's very interesting that a lot of engineering tricks have been used there that you don't find in system at large. Let's dig in...
Logging at OVHcloud :
Logs Data platform est la plateforme de collecte, d'analyse et de gestion centralisée de logs d'OVHcloud. Cette plateforme a pour but de répondre aux challenges que constitue l'indexation de plus de 4000 milliards de logs par une entreprise comme OVHcloud. Cette présentation vous décrira l'architecture générale de Logs Data Platform autour de ses composants centraux Elasticsearch et Graylog et vous décrira les différentes problématiques de scalabilité, disponibilité, performance et d'évolutivité qui sont le quotidien de l'équipe Observability à OVHcloud.
Introduction into blockchains and cryptocurrenciesSergey Ivliev
Slides from my intro course:
- mapping the digital asset ecosystem (as of August 2019)
- how bitcoin works - step-by-step primer?
- hashrate, dollar value transferred, transaction rate and other metrics (as of August 2019)
- hard money, uncorrelated asset and other use cases
- proof-of-stake and proof-of-identity
- horizontal and vertical scaling
- how ethereum smart contracts work?
- ERC20 token standard
- boom and bust of the ICO market (as of August 2019)
- intro into #DeFI (as of August 2019)
- stablecoins
- MarkerDAO, Compound, Uniswap and other cool decentralized finance protocols
- Cryptokitties, Storj, Peepeth and examples of non-financial dapps
A presentation about the deployment of an ELK stack at bol.com
At bol.com we use Elasticsearch, Logstash and Kibana in a logsearch system that allows our developers and operations people to easilly access and search thru logevents coming from all layers of its infrastructure.
The presentations explains the initial design and its failures. It continues with explaining the latest design (mid 2014). Its improvements. And finally a set of tips are giving regarding Logstash and Elasticsearch scaling.
These slides were first presented at the Elasticsearch NL meetup on September 22nd 2014 at the Utrecht bol.com HQ.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
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Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
2. Motivation
● Bitcoin is a virtual Peer-to-Peer crypto currency.
● All bitcoin transactions are publicly available (who sent, who received and
how much?) but pseudo-anonymous
● This publicly available data is called “blockchain distributed ledger”. Current
size is around 70 GB (binary data). Growing every day since 2009.
2
6. Data
● Historical Data
○ Almost 400,000 blocks (new bitcoins)
○ More than 104 Million transactions so far
● Live Data
○ 2 transaction per second
○ Propagate through Peer to Peer
6
69 GB (2009-2016)
8. Working with Data
● Run full node locally on AWS => Store the entire blockchain ledger on AWS.
● Query blockchain via JSON RPC in Python
● Two RPC calls per block (Number of relevant blocks ~ 200,000 and 6.5 GB
of text storage)
○ Av time per RPC call = 1.45 sec (huge performance bottleneck. Work around is to reduce RPC
calls to one RPC call by storing all blocks in json format on disk/HDFS)
8
Bitcoin NodeAPP
get block RPC call
block json
get transaction RPC call
transaction json
1
2
9. Data Pipeline
9
Ingestion File System
Batch
processing
Database
Visualization
Bitcoin
Node
(Local Disk)
Stream
processingNetcat
Relay
10. Accomplishments and Challenges
● Complex query (bitcoin transaction fee evolution) working end to end
● Working with sea of jsons (2 jsons per block) in Apache Spark is complex.
Takes time to scale the results
● Ideally comparing three modes (batch,streaming and API) for throughput,
latency and cost
● Public APIs have rate limits. After lot of search, found Toshi API https://toshi.
io that has no rate limits
10
11. 11
Mode # of processed
blocks
Time
(minutes)
Storage
RPC Batch 186,846 162 Local File System
RPC Batch 186,846 69 HDFS
RPC Streaming 187,990 177 -
API Streaming 187,990 222 -
API Batch 187,990 3.1 HDFS
Comparison
Storing data on HDFS pays off with Spark processing taking only 3.1 minutes in API mode
and 69 minutes in RPC mode (62 minutes account for RPC call overhead for get transaction)
