Spark+AI Summit Europe 2019 高清视频下载[共135个]

为期三天的 SPARK + AI SUMMIT Europe 2019 于 2019年10月15日-17日荷兰首都阿姆斯特丹举行。数据和 AI 是需要结合的，而 Spark 能够处理海量数据的分析，将 Spark 和 AI 进行结合，无疑会带来更好的产品。Spark+AI Summit Europe 2019 是欧洲最大的数据和机器学习会议，大约有1700多名数据科学家、工程师和分析师参加此次会议。本次会议的提议包括了Apache Spark™、TensorFlow、MLflow 、 PyTorch、Delta Lake、 MLflow 以及 Koalas 等开源技术的最新进展，以及在现实世界中部署人工智能的最佳实践。会议的全部日程请参见：https://databricks.com/sparkaisummit/europe/schedule。

如果想及时了解Spark、Hadoop或者Hbase相关的文章，欢迎关注微信公共帐号：iteblog_hadoop

本次会议的议题范围具体如下：

Apache Spark, Delta Lake, MLflow, 以及 Koalas 的未来规划；
流行的深度学习和机器学习框架的最新发展；
使用 MLflow 管理机器学习生命周期
构建大规模可靠数据管道的技巧；
真实可靠的人工智能案例。

下载途径

CSDN 下载：由于 CSDN 限制，文件分为两个上传，分卷一：https://download.csdn.net/download/w397090770/11950956，分卷二：https://download.csdn.net/download/w397090770/11950964。为了避免伸手党，CSDN 的文件设置了解压密码，关注微信公众号 iteblog_hadoop 回复 8424 获取。
百度网盘下载：
视频下载（共135个） => 链接: https://pan.baidu.com/s/1WtbPmfn2dOfXWVSluSWRAA
全部 PPT => 链接: 链接:https://pan.baidu.com/s/1Obmh7fb5YaQV0u8R_kURTQ，具体可以参见 Spark+AI Summit Europe 2019 PPT 下载[共98个]
密码请关注微信公众号 iteblog_hadoop 回复 8424 获取。

全部可下载的视频

下面议题提供视频下载

1、Building Data Intensive Analytic Application on Top of Delta Lakes
2、Near Real Time Data Warehousing with Apache Spark and Delta Lake
3、Petabytes, Exabytes, and Beyond: Managing Delta Lakes for Interactive Queries at Scale
4、Migrating Apache Spark ML Jobs to Spark + Tensorflow on Kubeflow
5、Allies and Adversaries : Explaining Model Reasoning via Contrasting Proximal Prototypes
6、Physical Plans in Spark SQL
7、Downscaling: The Achilles heel of Autoscaling Apache Spark Clusters
8、Astronomical Data Processing on the LSST Scale with Apache Spark
9、Assessing Graph Solutions for Apache Spark
10、AI Scalability for the Next Decade
11、Encrypted Computation in Apache Spark
12、Streaming Analytics for Financial Enterprises
13、.NET for Apache Spark
14、Making Zeppelin and Apache Spark Enjoyable
15、Spark SQL Bucketing at Facebook
16、Koalas: Making an Easy Transition from Pandas to Apache Spark
17、Migrating Hadoop Analytics to Spark in the Cloud Without Disruption
18、Spark Operator—Deploy, Manage and Monitor Spark clusters on Kubernetes
19、Updates from Project Hydrogen: Unifying State of the Art AI and Big Data in Apache Spark
20、Building Resilience in Data Science Processes
21、Getting Started Contributing to Apache Spark
22、Internals of Speeding up PySpark with Arrow
23、Databricks Delta Lake and Its Benefits
24、Asynchronous Hyperparameter Optimization with Apache Spark
25、Apache Spark Side of Funnels
26、Physical Plans in Spark SQL
27、Accelerating Astronomical Discoveries with Apache Spark
28、Accelerating Apache Spark with Intel QuickAssist Technology
29、Data Engineers: Stop Hand Coding and Start Accelerating Your Analytics Projects
30、No REST till Production – Building and Deploying 9 Models to Production in 3 weeks
31、Stream Processing: Choosing the Right Tool for the Job
32、Vectorized R Execution in Apache Spark
33、Extending Spark SQL 2 4 with New Data Sources Live Coding Session
34、A Recommender Story: Improving Backend Data Quality While Reducing Costs
35、Deep Learning Pipelines for High Energy Physics using Apache Spark with Distributed Keras
36、Zipline—Airbnb’s Declarative Feature Engineering Framework
37、Fuel Your Apache Spark Analytics Using Intel Optane DC Persistent Memory
38、Extending Spark Graph for the Enterprise with Morpheus and Neo4j
39、Building a Modern FinTech Big Data Infrastructure
40、Extending Spark SQL 2 4 with New Data Sources
41、How to Tune and Optimize the Performance of Apache Spark Data Pipelines
42、Designing ETL Pipelines with Structured Streaming and Delta Lake
43、Spark Plus AI:ML on AWS
44、Introduction to TensorFlow 2.0
45、Improving Apache Spark by Taking Advantage of Disaggregated Architecture
47、Accelerating Real Time Video Analytics on a Heterogenous CPU + FPGA Platform
48、Building a Knowledge Graph with Spark and NLP: How We Recommend Novel Drugs to our Scientists
49、Apache Spark AI Use Case in Telco: Network Quality Analysis and Prediction
50、Best Practices for Building and Deploying Data Pipelines in Apache Spark
51、Implementing a Reliable Data Lake with Databricks Delta and the AWS Ecosystem
52、Driver Location Intelligence at Scale using Apache Spark, Delta Lake, and MLflow on Databricks
53、Building A Feature Factory Daniel Tomes Databricks
54、Graph Features in Spark 3 0 Integrating Graph Querying and Algorithms in Spark Graph
55、Scalable Time Series Forecasting and Monitoring using Apache Spark and ElasticSearch
56、Modern ETL Pipelines with Change Data Capture Thiago Rigo GetYourGuide
57、Deep Learning with DL4J on Apache Spark: Yeah it’s Cool, but are You Doing it the Right Way
58、Lessons Learned Replatforming A Large Machine Learning Application To Apache Spark
59、Retrieving Visually Similar Products for Shopping Recommendations using Spark and Tensorflow
60、How to Automate Performance Tuning for Apache Spark
61、Data Reproducibility, Audits, Immediate Rollbacks, and Other Applications of Time Travel
62、Transforming AI with Graphs: Real World Examples using Spark and Neo4j
63、 MEET Women in Unified Data Analytics Lunch
64、The Parquet Format and Performance Optimization Opportunities
65、Data Warehousing with Spark Streaming at Zalando
66、Building Data Intensive Analytic Application on Top of Delta Lakes(2)
67、Automating Loss Prevention Using NLP with FastAI on Azure Databricks
68、Making Homes Efficient and Comfortable Using AI and IoT Data
69、Refactoring Apache Spark to Allow Additional Cluster Managers
70、Continuous Deployment for Deep Learning
71、Improving Apache Spark Downscaling
72、Cosmos DB Real time Advanced Analytics Workshop
73、Lessons Learned from Using Spark for Evaluating Road Detection
74、ACID ORC, Iceberg, and Delta Lake—An Overview of Table Formats for Large Scale Storage and Analytics
75、Managing the Complete Machine Learning Lifecycle with MLflow
76、Maps and Meaning Graph based Entity Resolution in Apache Spark & GraphX
77、Using PySpark to Scale Markov Decision Problems for Policy Exploration
78、Deep Anomaly Detection from Research to Production Leveraging Spark and Tensorflow
79、Commercial Analytics at Scale in Pharma- From Hackathon to MVP with Azure Databricks
80、Building Reliable Data Lakes at Scale with Delta Lake
81、Dynamic Partition Pruning in Apache Spark
82、Using Apache Spark to Solve Sessionization Problem in Batch and Streaming
83、Predicting Banking Customer Needs with an Agile Approach to Analytics in the Cloud
84、Powering Custom Apps at Facebook using Spark Script Transformation
85、Koalas: Pandas on Apache Spark
86、AI Powered Streaming Analytics for Real Time Customer Experience
87、Apache Spark At Scale in the Cloud
88、A Spark Based Intelligent Assistant: Making Data Exploration in Natural Language Real
89、Apache Spark Core – Practical Optimization
90、Briefing on the Modern ML Stack with R
91、Managing the Complete Machine Learning Lifecycle with MLflow 2
92、Data Democratization at Nubank
93、From HelloWorld to Configurable and Reusable Apache Spark Applications in Scala
94、High Performance Advanced Analytics with Spark Alchemy
95、The Internals of Stateful Stream Processing in Spark Structured Streaming
96、Powering Asurion’s Connected Home Platform with Spark Structured Streaming, Delta Lake, and MLflow
97、Application and Challenges of Streaming Analytics and Machine Learning on Multi Variate Time Series
98、Building a Scalable Data Science Solution to Outperform Sales Execution in Traditional Trade Markets
99、Simplify and Scale Data Engineering Pipelines with Delta Lake
100、Successful AI:ML Projects with End to End Cloud Data Engineering
101、Accelerating Apache Spark by Several Orders of Magnitude with GPUs
102、Optimizing Delta Parquet Data Lakes for Apache Spark
103、MLflow and Azure Machine Learning—The Power Couple for ML Lifecycle Management
104、Building an AI Powered Retail Experience with Delta Lake, Spark, and Databricks
105、Listening at the Cocktail Party with Deep Neural Networks and TensorFlow
106、Stream, Stream, Stream Different Streaming Methods with Apache Spark and Kafka
107、Drug Discovery and Development Using AI
108、Applied Machine Learning for Ranking Products in an Ecommerce Setting
109、Continuous Evaluation of Deployed Models in Production
110、Scaling Data Analytics Workloads on Databricks
111、Real Time Fraud Detection at Scale—Integrating Real Time Deep Link Graph Analytics with Spark AI
112、Distributed Models Over Distributed Data with MLflow, Pyspark, and Pandas
113、How Data is Transforming the Dutch Media Industry
114、Improving the Life of Data Scientists Automating ML Lifecycle through MLflow
115、CyberMLToolkit Anomaly Detection as a Scalable Generic Service Over Apache Spark
116、On Prem Solution for the Selection of Wind Energy Models
117、Revolutionizing the Legal Industry with Spark, NLP and Azure Databricks
118、Build and Deploy a Managed Machine Learning Project in 10 minutes
119、Using Production Profiles to Guide Optimizations
120、Power Your Delta Lake with Streaming Transactional Changes
121、Unified Approach to Interpret Machine Learning Model SHAP + LIME
122、AI on Spark for Malware Analysis and Anomalous Threat Detection
123、Detecting Financial Fraud at Scale with Machine Learning
124、Bridging the Gap Between Data Scientists and Software Engineers – Deploying Legacy Python Algorithms
125、Apache Spark for Cyber Security in an Enterprise Company
126、Augmenting Machine Learning with Databricks Labs AutoML Toolkit
127、Machine Learning at Scale with MLflow and Apache Spark
128、Creating an Omnichannel Banking Experience with Machine Learning on Azure Databricks
129、Working with Complex Types in DataFrames Optics to the Rescue
130、Enabling Biobank Scale Genomic Processing with Spark SQL
131、Reliable Performance at Scale with Apache Spark on Kubernetes
132、Unlock Value of Disparate and Complex Data Powered by Azure Databricks
133、Industrializing Machine Learning on an Enterprise Azure Platform with DataBricks Experiences
134、Automated Production Ready ML at Scale
135、Seamless End to End Production Machine Learning with Seldon and MLflow
136、Democratizing Machine Learning: Perspective from a scikit learn Creator
137、Imaging the Unseen- Taking the First Picture of a Black Hole
138、Scalable AI for Good
139、Reinventing Payments at HSBC with a Unified Platform for Data and AI in the Cloud
140、Forecasting ‘What if’ Scenarios in Retail Using ML Powered Interactive Tools
141、Simplifying Model Management with MLflow
142、Unified Data Analytics- Helping Data Teams Solve the World’s Toughest Problems
143、Saving Energy in Homes with a Unified Approach to Data and AI
144、AlphaStar- Mastering the Real Time Strategy Game StarCraft II
145、New Developments in the Open Source Ecosystem: Apache Spark 3 0, Delta Lake, and Koalas