Open Source Technologies in the Analytics Revolution

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One of the hallmarks of modern analytics is that data pipelines are largely built upon open source software (OSS). It is entirely possible to create cutting edge data science, machine learning, data engineering, ETL processing, and predictive analytics pipelines without using any commercial software. Of course, OSS does not necessarily mean “free,” but as a thought experiment, the first part of this session will explore the role of OSS in your data analytics stacks and data pipelines. For the second half of this presentation, we will examine how OSS tools and platforms can be used to learn and create your own Machine Learning and Data Analytics projects without breaking the bank. View the presentation: https://youtu.be/JbNuikWKC1Q

Data & Analytics

Open Source Technologies in
the Analytics Revolution
Zitong Wei
Rachel Beddor

© Kyligence Inc. 2021, Confidential.
Open Source in Big Data
Why we love open source
• Free
• Customizable
• Innovation
• Choices
• Standard
• Personal growth

© Kyligence Inc. 2021, Confidential.
Data Pipeline for Analytics
Collect Process Store Analyze

© Kyligence Inc. 2021, Confidential.
Data Pipeline for Analytics
Structured
Data
Unstructured
Data
Semi-Structured
Data

© Kyligence Inc. 2021, Confidential.
Typical Use Cases
• Customer Analysis
• Operational Efficiency
• Abnormal/Fraud Detection
• Recommendation
• Self Service Analysis

© Kyligence Inc. 2021, Confidential.
Platform
Apache Hadoop, Apache Spark
Ingestion & ETL
Nifi, Sqoop, Airflow, Gobblin
Streaming
Kafka, Spark Streaming, Flink, Samza,
Storm, Flume
Open Source Projects
NoSQL
HBase, Cassandra, MongoDB
SQL
Spark SQL, Hive, Impala, Presto
Machine Learning
Python, R, Tensorflow
Report & Visualization
Superset, Jupyter, Zepplin

© Kyligence Inc. 2021, Confidential.
MapReduce

© Kyligence Inc. 2021, Confidential.
Reporting & Visualization

© Kyligence Inc. 2021, Confidential.
SQL Engine

© Kyligence Inc. 2021, Confidential.
OLAP (Online Analytical Processing)
Good at:
 Designed for analysis – BI reporting, data
discovery etc.
 Quickly answering questions like:
 What are our top 5 best-selling products in each
state/city?
 Which products should be put together?
 What is our profit for beer in the US this year?
Online Analytical Processing
Not good at:
• Update/delete frequently
• Transactional data

© Kyligence Inc. 2021, Confidential.
OLAP Cubes
120 80 60
50 130 90
70 50 100
April May June
New York
Los Angeles
San Francisco
Beer
Milk
Juice
Q: How many beers were sold in Los
Angeles in June?
A: 90

© Kyligence Inc. 2021, Confidential.
Traditional OLAP Tools

© Kyligence Inc. 2021, Confidential.
Challenges in the Big Data Era
Traditional OLAP tools are great but…
• Difficult to handle massive data volumes
• Cube size limited by a single machine
• Have to maintain lots of cubes
• Hard to scale
• Takes a long time to build cubes
• Number of dimensions is limited

© Kyligence Inc. 2021, Confidential.
Journey of Apache Kylin
Sept 2013 Oct 2014 Nov 2014 Sept 2015 Nov 2015 Mar 2016
Officially
Open Source
Project
Initiated
Apache
Incubator Project
InfoWorld
Best Open Source
Big Data Tool Award Kyligence Inc.
Founded
Apache Top-Level
Project

© Kyligence Inc. 2021, Confidential.
Apache Kylin Architecture
BI Tools, Web App…
ANSI SQL
OLAP Cube

© Kyligence Inc. 2021, Confidential.
Performance Benchmark

© Kyligence Inc. 2021, Confidential.
Apache Kylin Data Flow

© Kyligence Inc. 2021, Confidential.
Kylin on Lambda

© Kyligence Inc. 2021, Confidential.
Demonstration – Technical Details

© Kyligence Inc. 2021, Confidential.
Demonstration – Dataset Details
Fact Table
Movie Box Office Revenue
Dimension Table
Dates
Dimension Table
Movie Genres

© Kyligence Inc. 2021, Confidential.
Join the community
https://github.com/apache/kylin apache-kylin.slack.com
user@kylin.apache.org

© Kyligence Inc. 2021, Confidential.
Contact Us
Kyligence Inc
 http://kyligence.io
 info@kyligence.io
 Twitter: @Kyligence
Apache Kylin
 http://kylin.apache.org
 dev@kylin.apache.org
 Twitter: @ApacheKylin

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Opendatabay - Open Data Marketplace.pptx

Opendatabay

Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets. First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience. From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets. Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.

一比一原版(CU毕业证)卡尔顿大学毕业证成绩单

yhkoc

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一比一原版(CBU毕业证)卡普顿大学毕业证如何办理

ahzuo

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一比一原版(UniSA毕业证书)南澳大学毕业证如何办理

slg6lamcq

原版定制【微信:41543339】【(UniSA毕业证书)南澳大学毕业证】【微信:41543339】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！

Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...

Subhajit Sahu

Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.

一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理

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Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation

Boston Institute of Analytics

Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/

Adjusting primitives for graph : SHORT REPORT / NOTES

Subhajit Sahu

Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is Multiply with different modes (map) 1. Performance of sequential execution based vs OpenMP based vector multiply. 2. Comparing various launch configs for CUDA based vector multiply. Sum with different storage types (reduce) 1. Performance of vector element sum using float vs bfloat16 as the storage type. Sum with different modes (reduce) 1. Performance of sequential execution based vs OpenMP based vector element sum. 2. Performance of memcpy vs in-place based CUDA based vector element sum. 3. Comparing various launch configs for CUDA based vector element sum (memcpy). 4. Comparing various launch configs for CUDA based vector element sum (in-place). Sum with in-place strategies of CUDA mode (reduce) 1. Comparing various launch configs for CUDA based vector element sum (in-place).

Q1’2024 Update: MYCI’s Leap Year Rebound

Oppotus

SOCRadar Germany 2024 Threat Landscape Report

SOCRadar

As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape. In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity. 🔑 Key findings include: 🔍 Increased frequency and complexity of cyber threats. 🔍 Escalation of state-sponsored and criminally motivated cyber operations. 🔍 Active dark web exchanges of malicious tools and tactics. Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities. This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.

Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...

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M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years. Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success. MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies. According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”

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一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单

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ArtEZ毕业证【微信95270640】☀《ArtEZ艺术学院毕业证购买》Q微信95270640《ArtEZ毕业证模板办理》文凭、本科、硕士、研究生学历都可以做,《文凭ArtEZ毕业证书原版制作ArtEZ成绩单》《仿制ArtEZ毕业证成绩单ArtEZ艺术学院学位证书pdf电子图》毕业证 [留学文凭学历认证(留信认证使馆认证)ArtEZ艺术学院毕业证成绩单毕业证证书大学Offer请假条成绩单语言证书国际回国人员证明高仿教育部认证申请学校等一切高仿或者真实可查认证服务。多年留学服务公司,拥有海外样板无数能完美1:1还原海外各国大学degreeDiplomaTranscripts等毕业材料。海外大学毕业材料都有哪些工艺呢？工艺难度主要由：烫金.钢印.底纹.水印.防伪光标.热敏防伪等等组成。而且我们每天都在更新海外文凭的样板以求所有同学都能享受到完美的品质服务。国外毕业证学位证成绩单办理方法： 1客户提供办理ArtEZ艺术学院ArtEZ艺术学院毕业证假文凭信息：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：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） — — — — 我们是挂科和未毕业同学们的福音我们是实体公司精益求精的工艺！ — — — - 一真实留信认证的作用(私企外企荣誉的见证): 1：该专业认证可证明留学生真实留学身份同时对留学生所学专业等级给予评定。 2：国家专业人才认证中心颁发入库证书这个入网证书并且可以归档到地方。 3：凡是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部网内查询个人身份证信息后同步读取人才网入库信息。 4：个人职称评审加20分个人信誉贷款加10分。 5：在国家人才网主办的全国网络招聘大会中纳入资料供国家500强等高端企业选择人才。却怎么也笑不出来山娃很迷惑父亲的家除了一扇小铁门连窗户也没有墓穴一般阴森森有些骇人父亲的城也便成了山娃的城父亲的家也便成了山娃的家父亲让山娃呆在屋里做作业看电视最多只能在门口透透气不能跟陌生人搭腔更不能乱跑一怕迷路二怕拐子拐人山娃很惊惧去年村里的田鸡就因为跟父亲进城一不小心被人拐跑了至今不见踪影害得田鸡娘天天哭得死去活来疯了一般那情那景无不令人摧肝裂肺山娃很听话天天呆在小屋里除了看书写作业就是睡带

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Open Source Technologies in the Analytics Revolution

1. Open Source Technologies in the Analytics Revolution Zitong Wei Rachel Beddor

2. Introduction

3. © Kyligence Inc. 2021, Confidential. Open Source in Big Data Why we love open source • Free • Customizable • Innovation • Choices • Standard • Personal growth

5. © Kyligence Inc. 2021, Confidential. Data Pipeline for Analytics Structured Data Unstructured Data Semi-Structured Data

6. © Kyligence Inc. 2021, Confidential. Typical Use Cases • Customer Analysis • Operational Efficiency • Abnormal/Fraud Detection • Recommendation • Self Service Analysis

7. © Kyligence Inc. 2021, Confidential. Platform Apache Hadoop, Apache Spark Ingestion & ETL Nifi, Sqoop, Airflow, Gobblin Streaming Kafka, Spark Streaming, Flink, Samza, Storm, Flume Open Source Projects NoSQL HBase, Cassandra, MongoDB SQL Spark SQL, Hive, Impala, Presto Machine Learning Python, R, Tensorflow Report & Visualization Superset, Jupyter, Zepplin

8. Platform

12. Ingestion & ETL

16. Storage

20. Analyze

23. Apache Kylin

24. © Kyligence Inc. 2021, Confidential. OLAP (Online Analytical Processing) Good at:  Designed for analysis – BI reporting, data discovery etc.  Quickly answering questions like:  What are our top 5 best-selling products in each state/city?  Which products should be put together?  What is our profit for beer in the US this year? Online Analytical Processing Not good at: • Update/delete frequently • Transactional data

25. © Kyligence Inc. 2021, Confidential. OLAP Cubes 120 80 60 50 130 90 70 50 100 April May June New York Los Angeles San Francisco Beer Milk Juice Q: How many beers were sold in Los Angeles in June? A: 90

27. © Kyligence Inc. 2021, Confidential. Challenges in the Big Data Era Traditional OLAP tools are great but… • Difficult to handle massive data volumes • Cube size limited by a single machine • Have to maintain lots of cubes • Hard to scale • Takes a long time to build cubes • Number of dimensions is limited

28. © Kyligence Inc. 2021, Confidential. Journey of Apache Kylin Sept 2013 Oct 2014 Nov 2014 Sept 2015 Nov 2015 Mar 2016 Officially Open Source Project Initiated Apache Incubator Project InfoWorld Best Open Source Big Data Tool Award Kyligence Inc. Founded Apache Top-Level Project

33. Demonstration

35. © Kyligence Inc. 2021, Confidential. Demonstration – Dataset Details Fact Table Movie Box Office Revenue Dimension Table Dates Dimension Table Movie Genres

36. © Kyligence Inc. 2021, Confidential. Join the community https://github.com/apache/kylin apache-kylin.slack.com user@kylin.apache.org

37. © Kyligence Inc. 2021, Confidential. Contact Us Kyligence Inc  http://kyligence.io  info@kyligence.io  Twitter: @Kyligence Apache Kylin  http://kylin.apache.org  dev@kylin.apache.org  Twitter: @ApacheKylin

Editor's Notes

MPP – massively parallel processing
Mention HBase will be removed in next release Kylin runs on cluster
Mention HBase will be removed in next release

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