Data + AI Summit 2022 PPT 下载

文章目录

1 超清 PPT 下载途径
2 推荐观看的议题
3 可下载 PPT 的议题

Data + AI Summit 2022 于2022年06月27日至30日举行。本次会议是在旧金山进行，中国的小伙伴是可以在线收听的，一共为期四天，第一天是培训，后面几天才是正式会议。本次会议有超过200个议题，演讲嘉宾包括业界、研究和学术界的专家，本次会议主要分为六大块：

数据分析, BI 以及可视化：了解最新的数据分析、BI 和可视化技术以及客户和社区的解决方案。
数据工程：从实现数据管道到管理数据质量、ETL和数据质量框架再到数据 ops，深入了解最新的数据工程知识。
Data Lakes, Data Warehouses and Data Lakehouses：了解数据湖和数据仓库演变为 Data Lakehouses 背后的概念和最佳实践；
数据科学, 机器学习以及 MLOps：了解关于生产数据科学和机器学习管道的技术和最佳实践。
数据安全和治理：
学术研究：致力于学术和先进的工业研究领域，包括大规模调度程序，图表，数据分析和机器学习系统。

会议的全部日程请参见：https://databricks.com/dataaisummit/agenda

如果想及时了解Spark、Hadoop或者HBase相关的文章，欢迎关注微信公众号：过往记忆大数据

本次会议的超清视频已经在前几天分享给大家了，需要的同学可以到《Data + AI Summit 2022 超清视频下载》获取下载链接。本文主要收集了本次会议的 PPT，需要的同学可以获取。

超清 PPT 下载途径

目前可以获取到的 PPT 主要有 170 个左右，关注微信公众号 过往记忆大数据 或者 Java与大数据架构

回复 10189 获取 Data + AI Summit 2022 超清 PPT；
回复 10187 获取 Data + AI Summit 2022 超清视频。

可下载 PPT 的议题

本次可下载视频的议题共 170 个。

A Modern Approach to Big Data for Finance
A Practitioner's Guide to Unity Catalog A Technical Deep Dive
AI Fueled Forecasting The Next Generation of Financial Planning
AI powered Assortment Planning Solution
ALaSpark Gousto Recipe for Building Scalable PySpark Pipelines
Accelerating the Pace of Autism Diagnosis with Machine Learning Models
Achieve Machine Learning Hyper Productivity with Transformers and Hugging Face
Administrator Best Practices and Tips for Future Proofing your Databricks Account
Advanced Migrations From Hive to SparkSQL
Adversarial Drifts, Model Monitoring, and Feedback Loops Building Human in the Loop Machine Learning Systems for Content Moderation
Agile Data Engineering Reliability and Continuous Delivery at Scale
Amgen’s Journey To Building a Global 360 View of its Customers with the Lakehouse
An Advanced S3 Connector for Spark to Hunt for Cyber Attacks
Apache Arrow Flight SQL High Performance, Simplicity, and Interoperability for Data Transfers
Apache Spark SQL Aggregate Improvement at Meta (Facebook)
Apache Spark on Kubernetes—Lessons Learned from Launching Millions of Spark Executors
Apache Spark AQE SkewedJoin Optimization and Practice in ByteDance
Applied Predictive Maintenance in Aviation Without Sensor Data
Auto Encoder Decoder Based Anomaly Detection with the Lakehouse Paradigm
Automate Your Delta Lake or Practical Insights on Building Distributed Data Mesh
Automating Model Lifecycle Orchestration with Jenkins
Automating Business Decisions Using Event Streams
Backfill Streaming Data Pipelines in Kappa Architecture
Best Practices of Maintaining High Quality Data
Big Data in the Age of Moneyball
Build an Enterprise Lakehouse for Free with Trino and Delta Lake
Building Enterprise Scale Data and Analytics Platforms at Amgen
Building Metadata and Lineage Driven Pipelines on Kubernetes
Building Production Ready Recommender Systems with Feature Stores
Building a Data Science as a Service platform in Azure with Databricks
Building a Lakehouse for Data Science at DoorDash
Building an Analytics Lakehouse at Grab
Building and Scaling Machine Learning Based Products in the World's Largest Brewery
Building Spatial Applications with Apache Spark and CARTO
Building an Operational Machine Learning Organization from Zero and Leveraging ML for Crypto Security
Case Study in Rearchitecting an On Premises Pipeline in the Cloud
Challenges in Time Series Forecasting
Chaos Engineering in the World of Large Scale Complex Data Flow
Cloud Native Geospatial Analytics at JLL
Cloud and Data Science Modernization of Veterans Affairs Financial Service Center with Azure Databricks
Computational Data Governance at Scale
Connecting the Dots with DataHub Lakehouse and Beyond
Coral and Transport Portable SQL and UDFs for the Interoperability of Spark and Other Engines
Correlation Over Causation Cracking the Relationship Between User Engagement and User Happiness
Customer centric Innovation to Scale Data AI Everywhere
Cutting the Edge in Fighting Cybercrime Reverse Engineering a Search Language to Cross Compile it to PySpark
DBA Perspective Optimizing Performance Table by Table
Data Boards A Collaborative and Interactive Space for Data Science
Data Centric Principles for AI Engineering
Data Lakehouse and Data Mesh Two Sides of the Same Coin
DataFusion and Arrow Supercharge Your Data Analytical Tool with a Rusty Query Engine
Databricks Meets Power BI
Databricks and Enterprise Observability with Overwatch
Deep Dive into Delta Lake
Deep Dive into the New Features of Apache Spark
Delta Lake Overview
Delta Sharing A New Paradigm for Secure Data Sharing and Data Collaboration on Lakehouse
Democratizing Metrics at Airbnb
Designing Better MLOps Systems
Destination Lakehouse All Your Data Analytics and AI on One Platform
Detecting Financial Crime Using an Azure Advanced Analytics Platform and MLOps Approach
Discover Data Lakehouse With End to End Lineage
Disrupting the Prescription Drug Market with AI and Data
Distributed Machine Learning at Lyft
Doubling the Capacity of the Data Platform Without Doubling the Cost
Elixir The Wickedly Awesome Batch and Stream Processing Language You Should Have in Your Toolbox
Embedding Privacy by Design Into Data Infrastructure Through Open Source Extensible Tooling
Enable Production ML with Databricks Feature Store
Enabling BI in a Lakehouse Environment
Enabling Learning on Confidential Data
Ensuring Correct Distributed Writes to Delta Lake in Rust with Formal Verification
Evolution of Data Architectures and How to Build a Lakehouse
Fugue Tune Distributed Hybrid Hyperparameter Tuning
FutureMetrics Using Deep Learning to Create a Multivariate Time Series Forecasting Platform for Economic Strategic Planning
GIS Pipeline Acceleration with Apache Sedona
Git for Data Lakes How lakeFS Scales Data Versioning to Billions of Objects
Hassle Free Data Ingestion into the Lakehouse
How to Automate the Modernization and Migration of Your Data Warehousing Workloads to Databricks Lakehouse
How EPRI Uses Computer Vision to Mitigate Wildfire Risks for Electric Utilities
How Robinhood Built a Streaming Lakehouse to Bring Data Freshness from 24h to Less Than 15 Mins
How To Make Apache Spark on Kubernetes Run Reliably on Spot Instances
How To Use Databricks SQL for Analytics on Your Lakehouse
How socat and UNIX Pipes Can Help Data Integration
How the Largest County in the US is Transforming Hiring with a Modern Data Lakehouse
How to Build a Complete Security and Governance Solution Using Unity Catalog
How to Implement a Semantic Layer for Your Lakehouse
Implementing Data Governance 3.0 for the Lakehouse Era Community Led and Bottom Up
Implementing a Framework for Data Security and Policy at a Large Public Sector Agency
Implementing an End to End Demand Forecasting Solution Through Databricks and MLflow
Improving Apache Spark Structured Streaming Application Processing Time
Improving Interactive Querying Experience on Spark SQL
Improving patient care with Databricks
Ingesting data into Lakehouse with COPY INTO
Integrating Apache Superset into a B2B Platform Why and How
Introducing Zipline An Open Source Feature Engineering Platform
Learn to Efficiently Test ETL Pipelines
Lessons Learned from Deidentifying 700 Million Patient Notes
Low Code Machine Learning on Databricks with AutoML
MLOps at DoorDash
MLflow Pipelines Accelerating MLOps from Development to Production
Mapping Data Quality Concerns to Data Lake Zones
Meshing About with Databricks
Migrate and Modernize your Data Platform with Confluent and Databricks
Migrating Complex SAS Processes to Databricks Case Study
Monitoring and Quality Assurance of Complex ML Deployments via Assertions
Mosaic A Framework for Geospatial Analytics at Scale
Multimodal Deep Learning Applied to E commerce Big Data
Near Real Time Analytics with Event Streaming, Live Tables, and Delta Sharing
Obfuscating Sensitive Information from Spark UI and Logs
Open Source Powers the Modern Data Stack
Opening the Floodgates Enabling Fast Unmediated End User Access to Trillion Row Datasets with SQL Data Warehouses
Optimizing Speed and Scale of User Facing Analytics Using Apache Kafka and Pinot
Polars Blazingly Fast DataFrames in Rust and Python
Power to the SQL People Python UDFs in DBSQL
Powering Up the Business with a Lakehouse
Practical Data Governance in a Large Scale Databricks Environment
Predicting Repeat Admissions to Substance Abuse Treatment with Machine Learning
Presto On Spark A Unified SQL Experience
Privacy Preserving Machine Learning and Big Data Analytics Using Apache Spark
Productionizing Ethical Credit Scoring Systems with Delta Lake, Feature Store and MLFlow
Protecting Personally Identifiable Information (PII) PHI Data in Data Lake via Column Level Encryption
PySpark in Apache Spark 3.3 and Beyond
Radical Speed on the Lakehouse Photon Under the Hood
Real Time Search and Recommendation at Scale Using Embeddings and Hopsworks
Real Time Cost Reduction Monitoring and Alerting
Realize the Promise of Streaming with the Databricks Lakehouse Platform
Recent Parquet Improvements in Apache Spark
Rethinking Orchestration as Reconciliation Software Defined Assets in Dagster
Running a Low Cost, Versatile Data Management Ecosystem with Apache Spark at Core
Scalable XGBoost on GPU Clusters
Scaling AI Workloads with the Ray Ecosystem
Scaling Your Workloads with Databricks Serverless
Scaling Deep Learning on Databricks
Scaling ML at CashApp with Tecton
Scaling Privacy Practical Architectures and Experiences
Security Best Practices for Lakehouse
Self Serve Automated and Robust CDC pipeline using AWS DMS DynamoDB Streams and Databricks Delta
Serverless Kafka and Apache Spark in a Multi Cloud Data Lakehouse Architecture
Serving Near Real Time Features at Scale
Setting up On Shelf Availability Alerts at Scale with Databricks and Azure
Simplify Global DataOps and MLOps Using Oktas FIG Automation Library
Simplifying Migrations to Lakehouse—the Databricks Way
Smart Manufacturing Real time Process Optimization with Databricks
So Fresh and So Clean Learn How to Build Real Time Warehouses on Lakehouse
Sound Data Engineering in Rust From Bits to DataFrames
Spark Data Source V2 Performance Improvement Aggregate Push Down
Spark Inception Exploiting the Apache Spark REPL to Build Streaming Notebooks
Spline Central Data Lineage Tracking Not Only For Spark
State of the Art Natural Language Processing with Apache Spark NLP
Streaming ML Enrichment Framework Using Advanced Delta Table Features
Survey of Production ML Tech Stacks
Technical and Tactical Football Analysis Through Data
The Databricks Notebook Front Door of the Lakehouse
The Modern Metadata Platform What Why and How
The Road to a Robust Data Lake 0
The Semantics of Biology Vaccine and Drug Research with Knowledge Graphs and Logical Inferencing on Apache Spark teblog.pdf
Time Series Forecasting with PyCaret
Tools for Assisted Apache Spark Version Migrations, From 2.1 to 3.2+
Towards Dynamic Microstructure The Role of Machine Learning in the Next Generation of Exchanges
Turning Big Biology Data into Insights on Disease The Power of Circulating Biomarkers
Turning Fan Data Into an Asset
UIMeta A 10X Faster Cloud Native Spark History Server
Unifying Data Science and Business
Vision AI Animal Health Industry Use Cases Using Databricks on Azure
What to Do When Your Job Goes OOM in the Night Flowcharts
X FIPE eXtended Feature Impact for Prediction Explanation
You Have BI Now What Activate Your Data
dbt Machine Learning What Makes a Great Baton Pass
dbt and Python Better Together