Big Data - part 5/7 of "7 modern trends that every IT Pro should know about"
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Presented by Ibrahim Muhammadi. Founder - AppWorx.cc Big Data is revolutionizing how businesses make decisions now. More and more decisions and strategies are now based on data.
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Similar to Big Data - part 5/7 of "7 modern trends that every IT Pro should know about"
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Things we’ll discuss decoupling your system at scale via event-driven architectures include:
– Powering ML, backend, observability, and analytical applications at scale, including an end to end walk through of our processes that allow non-programmers to write and deploy event-driven data flows.
– Show end to end the usage of dynamic event processing that creates other stream processes, via a dynamic control plane topology pattern and broadcasted state pattern
– How to manage the unavailability of cached data that would normally come from repeated API calls for data that’s being backfilled into Kafka, all online! (and why this is not necessarily a “good” idea)
– Integrating common OSS frameworks and libraries like Kafka Streams, Flink, Spark and friends to encourage the best design patterns for developers coming from traditional service oriented architectures, including pitfalls and lessons learned along the way.
– Why and how to avoid overloading microservices with excessive RPC calls from event-driven streaming systems
– Best practices in common data flow patterns, such as shared state via RocksDB + Kafka Streams as well as the complementary tools in the Apache Ecosystem.
– The simplicity and power of streaming SQL with microservices
A Journey to Building an Autonomous Streaming Data Platform—Scaling to Trilli...
We will present the design and evolution of Nvidia's 100% Self-Service Streaming Big-Data Platform (ETL, Analytics, AI Training & Inferencing) powered by Spark and Nvidia GPUs. We will discuss the architecture, major challenges that we faced, and lessons learned along the way. Nvidia's data platform processes 10's of billions of events per day, supporting several Nvidia products like GPU Cloud, GeForce NOW Cloud Gaming, AI Smart Cities, DriveSim for Self Driving cars etc. In this talk, we are going to deep dive on Nvidia's next generation data platform with new custom built frameworks, automation tools, and a monitoring system on top of Spark. Thus empowering our developers to build new Spark-powered applications at the speed of light (SOL) with full self-service unified data flows. We will showcase these new tools : a) Zero-engineering dashboards, b) Out-of-the box Spark Streaming applications with automated schema management, c) Custom Spark Streaming to Elastic search connector with enhanced security, d) GDPR compliant SQL access control and auditing with a new custom token management framework, e) Migration from logstash clusters to Spark Streaming for log parsing, etc. We will discuss how decoupling Data-Platform and Applications helped us achieve the next level of scale, self-service, and, security. Finally, we will demo our Platform's App-Store, where developers can shop for new Apps and deploy them with ease - with automated dashboards, streaming ETL, analytics, monitoring, AI training and inferencing. Extended Description: With structured telemetry events and unstructured logs growing at 1000% rate year-over-year, it is extremely important to handle this scale with strict SLAs and high reliability while maintaining extremely low latency. We will discuss how we handled these scaling & security concerns to solve business requirements. Additionally, we will be open-sourcing some of our custom spark frameworks during the talk.
Speakers: Satish Dandu, Rohit Kulkarni
apidays LIVE Helsinki & North 2022_Apps without APIs
apidays LIVE Helsinki & North: API Ecosystems - Connecting Physical and Digital
March 16 & 17, 2022
Apps without APIs - Leveraging the stack that we all use, but never think about
Sampo Savolainen, CTO at Spatineo
ALT-F1.BE : The Accelerator (Google Cloud Platform)
The Accelerator is an IT infrastructure able to collect and analyze a massive amount of public data on the WWW.
The Accelerator leverages the untapped potential of web data with the first solution designed for diverse sectors,
completely scalable, available on-premise, and cloud-provider agnostic.
Unbundling the Modern Streaming Stack With Dunith Dhanushka | Current 2022
Unbundling the Modern Streaming Stack With Dunith Dhanushka | Current 2022
Event-first thinking and streaming help organizations transition from followers to leaders in the market. A reliable, scalable, and economical streaming architecture helps them get there.
This talk first explores the ""classic streaming stack,"" based on the Lambda architecture, its origin, and why it didn't pick up amongst data-driven organizations. The modern streaming stack (MSS) is a lean, cloud-native, and economical alternative to classic streaming architectures, where it aims to make event-driven real-time applications viable for organizations.
The second half of the talk explores the MSS in detail, including its core components, their purposes, and how Kappa architecture has influenced it. Moreover, the talk lays out a few considerations before planning a new streaming application within an organization. The talk concludes by discussing the challenges in the streaming world and how vendors are trying to overcome them in the future.
Big (IT) data
This document summarizes how information technology (IT) infrastructure and operations have changed from expensive and slow on-premise systems to cheaper and faster cloud-based systems. It notes that IT used to require renting and maintaining thousands of servers, but now services allow provisioning servers quickly and returning them just as fast. Where systems used to support small numbers of users, they now must scale to massive "web scale." Tool usage has proliferated from using just a few tools to manage dependencies to using many different monitoring and analytics tools. Delivery cycles have accelerated from biannual releases to continuous delivery. It promotes a next-generation monitoring solution to help development and operations teams address these modern cloud-era challenges through data aggregation, correlation, collaboration
Serverless Architecture in application development - 7 modern trends every IT...
This is part 3 of 7 in the series "7 modern trends every IT pro should know about"
This part introduces the concept of serverless architecture in the cloud.
Technologie Proche: Imagining the Archival Systems of Tomorrow With the Tools...
Technologie Proche: Imagining the Archival Systems of Tomorrow With the Tools...Artefactual Systems - AtoM
These slides accompanied a June 4th, 2016 presentation made by Dan Gillean of Artefactual Systems at the Association of Canadian Archivists' 2016 Conference in Montreal, QC, Canada.
This presentation aims to examine several existing or emerging computing paradigms, with specific examples, to imagine how they might inform next-generation archival systems to support digital preservation, description, and access. Topics covered include:
- Distributed Version Control and git
- P2P architectures and the BitTorrent protocol
- Linked Open Data and RDF
- Blockchain technology
The session is part of an attempt by the ACA to create interactive "working sessions" at its conferences. Accompanying notes can be found at: http://bit.ly/tech-Proche
Participants were also asked to use the Twitter hashtag of #techProche for online interaction during the session.
Big Data
Big data comes from various sources in different formats and structures. It includes social media data, search engine data, medical records, and IoT device data. YouTube alone generates billions of views from over 1 billion users uploading 1.2 million videos daily. Big data is characterized by its variety, velocity, and volume. Hadoop is an open source framework used to process and store big data. It has two core components - HDFS for storage and MapReduce for processing. Hadoop distributes data and tasks across nodes, provides fault tolerance, and scales dynamically with hardware.
OpenStack NSA
This document summarizes the National Security Agency's (NSA) development and use of an internal private cloud using OpenStack for infrastructure as a service (IaaS). It describes how the NSA stood up an initial pilot OpenStack cloud in two weeks to host lab infrastructure. This grew into a production IaaS cloud hosting hundreds of users and mission systems. The cloud provides agility, flexibility and scalability while maintaining security, accountability and central management through APIs, logging, and metrics. The NSA contributes to open source projects like OpenStack and encourages more community participation and hiring.
IESL Talk Series: Apache System Projects in the Real World
- LEAD was a large-scale e-science project funded by the NSF that used Apache technologies like Axis2, ODE, and others to build a dynamic weather analysis system across multiple universities in the US.
- It faced challenges at large scale including distributed resources, long-running jobs, large data, and usage spikes from many parallel users.
- Key subsystems included workflows, data, and messaging which also presented challenges around resource utilization, scalability, fault-tolerance, and security at that scale.
- Over time, LEAD transitioned major components to Apache projects and has now joined the Apache incubator as the Apache Airavata project.
Digital Business Transformation in the Streaming Era
Enterprises are rapidly adopting stream computing backbones, in-memory data stores, change data capture, and other low-latency approaches for end-to-end applications. As businesses modernize their data architectures over the next several years, they will begin to evolve toward all-streaming architectures. In this webcast, Wikibon, Attunity, and MemSQL will discuss how enterprise data professionals should migrate their legacy architectures in this direction. They will provide guidance for migrating data lakes, data warehouses, data governance, and transactional databases to support all-streaming architectures for complex cloud and edge applications. They will discuss how this new architecture will drive enterprise strategies for operationalizing artificial intelligence, mobile computing, the Internet of Things, and cloud-native microservices.
Link to the Wikibon report - wikibon.com/wikibons-2018-big-data-analytics-trends-forecast
Link to Attunity Streaming CDC Book Download - http://www.bit.ly/cdcbook
Link to MemSQL's Free Data Pipeline Book - http://go.memsql.com/oreilly-data-pipelines
The Heart of the Data Mesh Beats in Real-Time with Apache Kafka
If there were a buzzword of the hour, it would certainly be "data mesh"! This new architectural paradigm unlocks analytic data at scale and enables rapid access to an ever-growing number of distributed domain datasets for various usage scenarios.
As such, the data mesh addresses the most common weaknesses of the traditional centralized data lake or data platform architecture. And the heart of a data mesh infrastructure must be real-time, decoupled, reliable, and scalable.
This presentation explores how Apache Kafka, as an open and scalable decentralized real-time platform, can be the basis of a data mesh infrastructure and - complemented by many other data platforms like a data warehouse, data lake, and lakehouse - solve real business problems.
There is no silver bullet or single technology/product/cloud service for implementing a data mesh. The key outcome of a data mesh architecture is the ability to build data products; with the right tool for the job.
A good data mesh combines data streaming technology like Apache Kafka or Confluent Cloud with cloud-native data warehouse and data lake architectures from Snowflake, Databricks, Google BigQuery, et al.
The Growth Of Data Centers
Data centers are growing to accommodate more internet-connected devices, with innovations helping achieve network coverage for billions of devices by 2020. As data centers grow, trends like software-driven infrastructure, microtechnology, and alternative energy use are making data centers more efficient by consolidating resources and reducing size. Hyperconvergence allows more efficient use of rack space by consolidating computer storage, networking, and virtualization in compact 2U systems from companies like Simplivity and Nutanix.
Strata EU 2014: Spark Streaming Case Studies
Strata EU 2014 session talk about Spark Streaming use cases strataconf.com/strataeu2014/public/schedule/detail/37493
1st Birmingham Big Data Science Group meetup
This document introduces the Birmingham Big Data Science Group (BIDS) and discusses big data and related technologies. It provides an overview of big data, large-scale distributed systems, NoSQL databases, and intelligent algorithms. Examples of prominent NoSQL database users and the Hadoop-based SMAQ stack are discussed. The document also covers next-generation systems beyond MapReduce/Hadoop and concludes that big data is a challenging and promising area.
Set Your Data In Motion - CTO Roundtable
Confluent hosted a technical thought leadership session to discuss how leading organisations move to real-time architecture to support business growth and enhance customer experience.
Event Streaming CTO Roundtable for Cloud-native Kafka Architectures
Technical thought leadership presentation to discuss how leading organizations move to real-time architecture to support business growth and enhance customer experience. This is a forum to discuss use cases with your peers to understand how other digital-native companies are utilizing data in motion to drive competitive advantage.
Agenda:
- Data in Motion with Event Streaming and Apache Kafka
- Streaming ETL Pipelines
- IT Modernisation and Hybrid Multi-Cloud
- Customer Experience and Customer 360
- IoT and Big Data Processing
- Machine Learning and Analytics
Analysis of Major Trends in Big Data Analytics
Slim Baltagi, director of Enterprise Architecture at Capital One, gave a presentation at Hadoop Summit on major trends in big data analytics. He discussed 1) increasing portability between execution engines using Apache Beam, 2) the emergence of stream analytics driven by data streams, technology advances, business needs and consumer demands, 3) the growth of in-memory analytics using tools like Alluxio and RocksDB, 4) rapid application development using APIs, notebooks, GUIs and microservices, 5) open sourcing of machine learning systems by tech giants, and 6) hybrid cloud computing models for deploying big data applications both on-premise and in the cloud.
Similar to Big Data - part 5/7 of "7 modern trends that every IT Pro should know about" (20)
APIs and Micro-services - 7 modern trends every IT professional should know a...
APIs and Micro-services - 7 modern trends every IT professional should know a...
Event Driven Architecture with a RESTful Microservices Architecture (Kyle Ben...
Event Driven Architecture with a RESTful Microservices Architecture (Kyle Ben...
A Journey to Building an Autonomous Streaming Data Platform—Scaling to Trilli...
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apidays LIVE Helsinki & North 2022_Apps without APIs
apidays LIVE Helsinki & North 2022_Apps without APIs
ALT-F1.BE : The Accelerator (Google Cloud Platform)
ALT-F1.BE : The Accelerator (Google Cloud Platform)
Unbundling the Modern Streaming Stack With Dunith Dhanushka | Current 2022
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Serverless Architecture in application development - 7 modern trends every IT...
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Technologie Proche: Imagining the Archival Systems of Tomorrow With the Tools...
Technologie Proche: Imagining the Archival Systems of Tomorrow With the Tools...
IESL Talk Series: Apache System Projects in the Real World
IESL Talk Series: Apache System Projects in the Real World
Digital Business Transformation in the Streaming Era
Digital Business Transformation in the Streaming Era
The Heart of the Data Mesh Beats in Real-Time with Apache Kafka
The Heart of the Data Mesh Beats in Real-Time with Apache Kafka
Event Streaming CTO Roundtable for Cloud-native Kafka Architectures
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一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
毕业原版【微信:176555708】【(UCSF毕业证书)旧金山分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
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三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
学校原件一模一样【微信：741003700 】《(unimelb毕业证书)墨尔本大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
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◇面对父母的压力，希望尽快拿到；
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◇企事业单位必须要求办理的
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
"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."
Population Growth in Bataan: The effects of population growth around rural pl...
A population analysis specific to Bataan.
The Building Blocks of QuestDB, a Time Series Database
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.
一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理
原版制作【微信:41543339】【(Unimelb毕业证书)墨尔本大学毕业证】【微信:41543339】《成绩单、外壳、雅思、offer、留信学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同进口机器一比一制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
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在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
学校原件一模一样【微信：741003700 】《(英国UCA毕业证书)创意艺术大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
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一比一原版(UO毕业证)渥太华大学毕业证如何办理
UO毕业证录取书【微信95270640】购买（渥太华大学毕业证成绩单硕士学历）Q微信95270640代办UO学历认证留信网伪造渥太华大学学位证书精仿渥太华大学本科/硕士文凭证书补办渥太华大学 diplomaoffer,Transcript购买渥太华大学毕业证成绩单购买UO假毕业证学位证书购买伪造渥太华大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
文凭办理流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信95270640我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
7完成交易删除客户资料
高精端提供以下服务：
一：渥太华大学渥太华大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站可查
四：留信认证留学生信息网站可查
五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信95270640）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃的头说还好醒得及时要不家早被人掏空了到时连电视也没得看啰不过父亲还是夸山娃能临危不乱随机应变有胆有谋山娃笑笑说那都是书上学的看童话和小说时多
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Intelligence supported media monitoring in veterinary medicine
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一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
毕业原版【微信:176555708】【(UMN毕业证书)明尼苏达大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
原版一模一样【微信：741003700 】【(uts毕业证书)悉尼科技大学毕业证学历证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Open Source Contributions to Postgres: The Basics POSETTE 2024
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Big Data - part 5/7 of "7 modern trends that every IT Pro should know about"
- 1. BIG DATA.7 modern trends that every IT pro should know about - part 5/7 cc: mkandlez - https://www.flickr.com/photos/25541021@N00
- 2. Presented by Ibrahim Muhammadi. Founder - AppWorx.cc
- 3. With more and more digitalization, there is huge amounts of structured, semistructured and unstructured data that is being generated. cc: phsymyst - https://www.flickr.com/photos/78624556@N08
- 4. In the early days of this explosive growth in digital data, businesses used to discard additional data because there was no feasible way to make any sense out of itcc: Kentrosaurus - https://www.flickr.com/photos/86125591@N00
- 5. But this is changing rapidly with advancements in infrastructure needed for data storage and processing collectively known as BIG DATA cc: Tom Raftery - https://www.flickr.com/photos/67945918@N00
- 6. 3Vs of big data: extreme volume of data, wide variety of data types and the velocity at which the data must be processed cc: dalbera - https://www.flickr.com/photos/72746018@N00
- 7. Such voluminous data can come from different sources, such as business sales records, the collected results of experiments, real-time sensors used in IOT and morecc: bionicteaching - https://www.flickr.com/photos/29096601@N00
- 8. Adequate compute power is needed to achieve the desired velocity. This can potentially demand hundreds or thousands of servers that can distribute the work and operate collaboratively cc: midom - https://www.flickr.com/photos/81295370@N00
- 9. In this short presentation we will look at some of the more popular tools that have made the Big Data revolution possible. cc: Glenn Zucman - https://www.flickr.com/photos/18182611@N00
- 10. Hadoop
- 11. Distributed data storage and processing on consumer grade hardware makes big data feasible. One open source project for this is Hadoop. cc: NASA Goddard Photo and Video - https://www.flickr.com/photos/24662369@N07
- 12. Hadoop enables distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up to thousands of machines. cc: solofotones - https://www.flickr.com/photos/14754973@N08
- 13. Rather than rely on hardware to deliver high- availability, the Hadoop library is designed to detect and handle failures at the application layer, so delivering a highly-available service.cc: neil cummings - https://www.flickr.com/photos/23874985@N07
- 14. The ELK stack
- 15. Another open source tool that is used for Big Data is Elasticsearch which can do blazing fast searches on semistructured or unstructured datasets. cc: DocChewbacca - https://www.flickr.com/photos/49462908@N00
- 16. Elasticsearch is a part of the Elastic stack or the ELK stack that also contains Logstash (a data collection and log parsing tool) and Kibana (for analytics and visualization)cc: PLeia2 - https://www.flickr.com/photos/64684255@N00
- 17. Apache Kafka
- 18. Data migration using ETL (Extract - Transform - Load) does not work well with Big Data and hence the traditional ETL architecture is now changing to real-time data streaming cc: SidPix - https://www.flickr.com/photos/22357152@N02
- 19. Apache Kafka is a high-throughput distributed message system that is being adopted by hundreds of companies to manage their real-time data. cc: r2hox - https://www.flickr.com/photos/72764087@N00
- 20. Kafka is a perfect tool for building data pipelines: it is reliable, scalable, and efficient.cc: ikarusmedia - https://www.flickr.com/photos/32650580@N06
- 21. R - the language and environment for statistical computing
- 22. R is an integrated suite of software facilities for data manipulation, calculation and graphical display.cc: Crystal Writer - https://www.flickr.com/photos/17483452@N00
- 23. With over 2 million users worldwide R is rapidly becoming the leading programming language in statistics and data science. cc: Marc_Smith - https://www.flickr.com/photos/49503165485@N01
- 24. It is a great tool for data analysis and can be efficiently used on very large data sets.cc: Régis Gaidot - https://www.flickr.com/photos/22019171@N00
- 25. Big Data is the next frontier for innovation, competition and productivity - in all fields from healthcare to retail, from manufacturing to personal and location data.cc: danielfoster437 - https://www.flickr.com/photos/17423713@N03
- 26. In most industries, established competitors and new entrants will leverage data-driven strategies to innovate, compete, and capture value from deep real- time informationcc: verbeeldingskr8 - https://www.flickr.com/photos/35429044@N04
- 27. We at appworx.cc offer data services that can help retail and other clients achieve their big data goals quickly. https://www.appworx.cc/datacc: Jason Michael - https://www.flickr.com/photos/70194213@N00