Spark Summit North America 202006 高清 PPT 下载

为期五天的 Spark Summit North America 2020在美国时间 2020-06-22 ~ 06-26 举行。由于今年新冠肺炎的影响，本次会议第一次以线上的形式进行。这次会议虽然是五天，但是前两天是培训，后面三天才是正式会议。本次会议一共有超过210个议题，一如既往，主题也主要是 Spark + AI，在 AI 方面会议还深入讨论一些流行的软件框架，如 Delta Lake、MLflow、TensorFlow、SciKit-Learn、Keras、PyTorch、DeepLearning4J、BigDL 和 deep learning pipeline等。会议的全部日程请参见：https://databricks.com/sparkaisummit/north-america-2020/agenda

这次会议带来了几点比较重要消息：数砖收购 Redash 公司，发布 Delta Engine等，不过目前 KeyNote 会议的 PPT 还没有发布，感兴趣的可以看下相关视频。过往记忆大数据也在前几天发了几篇这次会议 KeyNote 的介绍，感兴趣的同学可以看这里。另外，在接下来的几天，本公众号也会对一些比较有意思的议题进行介绍，敬请关注本公众号。

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 未来规划；
• 管理机器学习生命周期的最佳实践
• 构建大规模可靠数据管道的技巧
• 流行的深度学习和机器学习框架的最新发展
• 真实的 AI 用户案例

下载途径

关注微信公众号 过往记忆大数据 或者 Java技术范 并回复 spark-9832 获取。

可下载的PPT

下面议题提供 PPT 下载

• Data Science Across Data Sources with Apache Arrow
• Portable Scalable Data Visualization Techniques for Apache Spark and Python Notebook-based Analytics
• Native Support of Prometheus Monitoring in Apache Spark 3.0
• Performant Streaming in Production: Preventing Common Pitfalls when Productionizing Streaming Jobs
• Scaling Security Threat Detection with Apache Spark and Databricks
• User Defined Aggregation in Apache Spark: A Love Story
• Powering Interactive BI Analytics with Presto and Delta Lake
• Using AI to Support Proliferating Merchant Changes
• Tuning ML Models: Scaling, Workflows, and Architecture
• Battling Model Decay with Deep Learning and Gamification
• An Approach to Data Quality for Netflix Personalization Systems
• High-Performance Analytics with Probabilistic Data Structures: the Power of HyperLogLog
• Preventing Abuse Using Unsupervised Learning
• Geospatial Analytics at Scale: Analyzing Human Movement Patterns During a Pandemic
• Leveraging Apache Spark for Scalable Data Prep and Inference in Deep Learning
• Filtering vs Enriching Data in Apache Spark
• Scalable Acceleration of XGBoost Training on Apache Spark GPU Clusters
• Deep Dive into GPU Support in Apache Spark 3.x
• Sputnik: Airbnb’s Apache Spark Framework for Data Engineering
• Patterns and Anti-Patterns for Memorializing Data Science Project Artifacts
• Automated and Explainable Deep Learning for Clinical Language Understanding at Roche
• Building Understanding Out of Incomplete and Biased Datasets using Machine Learning and Databricks
• Encryption and Masking for Sensitive Apache Spark Analytics Addressing CCPA and Governance
• Managing ADLS gen2 using Apache Spark
• Using Apache Spark and Differential Privacy for Protecting the Privacy of the 2020 Census Respondents
• The 2020 Census and Innovation in Surveys
• scaling-data-and-ml-with-apache-spark-and-feast
• The Apache Spark File Format Ecosystem
• Building the Petcare Data Platform using Delta Lake and 'Kyte': Our Spark ETL Pipeline
• A Production Quality Sketching Library for the Analysis of Big Data
• Children Safety Retrieval (CENSER) System for Retrieval of Kidnapped Children from Brothels in India
• Benchmark Tests and How-Tos of Convolutional Neural Network on HorovodRunner Enabled Apache Spark Clusters
• Scalable AutoML for Time Series Forecasting using Ray
• Using Machine Learning to Evolve Sports Entertainment
• Using Bayesian Generative Models with Apache Spark to Solve Entity Resolution Problems (DeDup, Merging, Uniqueness) at Scale
• Fine Tuning and Enhancing Performance of Apache Spark Jobs
• All In - Migrating a Genomics Pipeline from BASH/Hive to Spark (Azure Databricks) - A Real World Case Study
• Running Apache Spark on Kubernetes: Best Practices and Pitfalls
• Lessons Learned from Modernizing USCIS Data Analytics Platform
• On Improving Broadcast Joins in Apache Spark SQL
• Using Databricks as an Analysis Platform
• Is This Thing On? A Well State Model for the People
• Advanced Natural Language Processing with Apache Spark NLP
• Building a Streaming Microservice Architecture: with Apache Spark Structured Streaming and Friends
• Simplify and Boost Spark 3 Deployments with Hypervisor-Native Kubernetes
• Deploying Apache Spark Jobs on Kubernetes with Helm and Spark Operator
• Resource-Efficient Deep Learning Model Selection on Apache Spark
• Bring Satellite and Drone Imagery into your Data Science Workflows
• Scoring at Scale: Generating Follow Recommendations for Over 690 Million LinkedIn Members
• From HDFS to S3: Migrate Pinterest Apache Spark Clusters
• SparkCruise: Automatic Computation Reuse in Apache Spark
• Chromatic Sparse Learning
• Deploy and Serve Model from Azure Databricks onto Azure Machine Learning
• Cloud-Native Apache Spark Scheduling with YuniKorn Scheduler
• The Revolution Will be Streamed
• Democratizing PySpark for Mobile Game Publishing
• Ray: Enterprise-Grade, Distributed Python
• Fugue: Unifying Spark and Non-Spark Ecosystems for Big Data Analytics
• Enabling Scalable Data Science Pipeline with Mlflow at Thermo Fisher Scientific
• Scaling Up AI Research to Production with PyTorch and MLFlow
• Best Practices for Building Robust Data Platform with Apache Spark and Delta
• Building a Pipeline for State-of-the-Art Natural Language Processing Using Hugging Face Tools
• Designing the Next Generation of Data Pipelines at Zillow with Apache Spark
• Lessons from Building Large-Scale, Multi-Cloud, SaaS Software at Databricks
• Flash for Apache Spark Shuffle with Cosco
• Building a Real-Time Feature Store at iFood

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