Spark summit SAN FRANCISCO 文档下载

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1、关注公众号【大数据分析挖掘
2、回复“summit”
全部文档麻利地送给你

全部文档名称如下
A-Deep-Dive-into-Structured-Streaming.pdf
A-Graph-Based-Method-For-Cross-Entity-Threat-Detection.pdf
A-Journey-into-Databricks'-Pipelines--Journey-and-Lessons-Learned.pdf
A-Spark-Framework-For-<-$100,-<-1-Hour,-Accurate-Personalized-DNA-Analysis-At-Scale.pdf
Airstream--Spark-Streaming-At-Airbnb.pdf
Analyzing-Log-Data-With-Apache-Spark.pdf
Apache-Spark-MLlib-2.0-Preview--Data-Science-and-Production.pdf
Apache-Spark-the-Hard-Way--Challenges-with-Building-an-On-Prem-Spark-Analytics-Platform-and-Strategies-to-Mitigate-This.pdf
Apache-Spark-Usage-in-the-Open-Source-Ecosystem.pdf
Automated-Spark-Deployment-With-Declarative-Infrastructure.pdf
Automatic-Features-Generation-And-Model-Training-On-Spark--A-Bayesian-Approach.pdf
Big-Data-in-Production--Lessons-from-Running-in-the-Cloud.pdf
Bolt--Building-A-Distributed-ndarray.pdf
Breaking-Down-Analytical-and-Computational-Barriers-Across-the-Energy-Industry-Using-Databricks.pdf
Building-Custom-Machine-Learning-Algorithms-With-Apache-SystemML.pdf
Building-Realtime-Data-Pipelines-with-Kafka-Connect-and-Spark-Streaming.pdf
Bulletproof-Jobs--Patterns-For-Large-Scale-Spark-Processing.pdf
CaffeOnSpark--Deep-Learning-On-Spark-Cluster.pdf
Connecting-Python-To-The-Spark-Ecosystem.pdf
Credit-Fraud-Prevention-with-Spark-and-Graph-Analysis.pdf
Deep-Dive--Memory-Management-in-Apache-Spark.pdf
Deep-Dive-Into-Catalyst--Apache-Spark-2.0'S-Optimizer.pdf
Deploying-Accelerators-At-Datacenter-Scale-Using-Spark.pdf
Disrupting-Big-Data-with-Apache-Spark-in-the-Cloud.pdf
Distributed-Heterogeneous-Mixture-Learning-On-Spark.pdf
EclairJS-=-Node.Js-+-Apache-Spark.pdf
Efficient-State-Management-With-Spark-2.0-And-Scale-Out-Databases.pdf
Elasticsearch-And-Apache-Lucene-For-Apache-Spark-And-MLlib.pdf
Embrace-Sparsity-At-Web-Scale--Apache-Spark-MLlib-Algorithms-Optimization-For-Sparse-Data.pdf
Enhancing-Spark-SQL-Optimizer-with-Reliable-Statistics.pdf
Enterprise-Scale-Topological-Data-Analysis-Using-Spark.pdf
Finding-Graph-Isomorphisms-In-GraphX-And-GraphFrames.pdf
From-MapReduce-to-Apache-Spark.pdf
Fully-Automated-QA-System-For-Large-Scale-Search-And-Recommendation-Engines-Using-Spark.pdf
Getting-The-Best-Performance-With-PySpark.pdf
GPU-Computing-With-Apache-Spark-And-Python.pdf
GPU-Support-In-Spark-And-GPU_CPU-Mixed-Resource-Scheduling-At-Production-Scale.pdf
GraphFrames--Graph-Queries-In-Spark-SQL.pdf
Handling-Data-Skew-Adaptively-In-Spark-Using-Dynamic-Repartitioning.pdf
Heterogeneous-Workflows-With-Spark-At-Netflix.pdf
High-Performance-Python-On-Spark.pdf
Huawei-Advanced-Data-Science-With-Spark-Streaming.pdf
Huohua--A-Distributed-Time-Series-Analysis-Framework-For-Spark.pdf
Immersive-Data-Visualization-Using-Spark.pdf
Interactive-Visualization-of-Streaming-Data-Powered-by-Spark.pdf
Large-Scale-Deep-Learning-with-TensorFlow.pdf
Large-Scale-Multimedia-Data-Intelligence-And-Analysis-On-Spark.pdf
Lessons-Learned-From-Running-Spark-On-Docker.pdf
Livy--A-REST-Web-Service-For-Apache-Spark.pdf
Locality-Sensitive-Hashing-By-Spark.pdf
Low-Latency-Execution-For-Apache-Spark.pdf
Massive-Simulations-In-Spark--Distributed-Monte-Carlo-For-Global-Health-Forecasts.pdf
MLeap--Productionize-Data-Science-Workflows-Using-Spark.pdf
Mobius--C#-Language-Binding-For-Spark.pdf
Morticia--Visualizing-And-Debugging-Complex-Spark-Workflows.pdf
Natural-Sparksmanship-–-The-Art-of-Making-an-Analytics-Enterprise-Cross-the-Chasm.pdf
Netflix---Productionizing-Spark-On-Yarn-For-ETL-At-Petabyte-Scale.pdf
Operational-Tips-For-Deploying-Apache-Spark.pdf
Optimizing-Terascale-Machine-Learning-Pipelines-with-Keystone-ML.pdf
Pedal-to-the-Metal--Accelerating-Spark-with-Silicon-Innovation.pdf
PowerStream--Propelling-Energy-Innovation-with-Predictive-Analytics.pdf
Processing-70Tb-Of-Genomics-Data-With-ADAM-And-Toil.pdf
Production-Readiness-Testing-At-Salesforce-Using-Spark-MLlib.pdf
Re-Architecting-Spark-For-Performance-Understandability.pdf
Reactive-Streams,-Linking-Reactive-Application-To-Spark-Streaming.pdf
Recent-Developments-In-SparkR-For-Advanced-Analytics.pdf
Scalable-And-Incremental-Data-Profiling-With-Spark.pdf
Scalable-Deep-Learning-Platform-On-Spark-In-Baidu.pdf
Scalable-Machine-Learning-Pipeline-For-Meta-Data-Discovery-From-eBay-Listings.pdf
Scaling-Machine-Learning-To-Billions-Of-Parameters.pdf
Shifting-Data-Science-into-High-Gear.pdf
Solr-As-A-SparkSQL-DataSource.pdf
Solving-The-N+1-Problem-In-Personalized-Genomics.pdf
Spark--Interactive-To-Production.pdf
Spark-And-Cassandra--2-Fast,-2-Furious.pdf
Spark-and-Couchbase--Augmenting-the-Operational-Database-with-Spark.pdf
Spark-at-Bloomberg--Dynamically-Composable-Analytics.pdf
Spark-on-Mesos.pdf
Spark-Summit-San-Francisco-2016---Matei-Zaharia-Keynote--Apache-Spark-2.0.pdf
Spark-Uber-Development-Kit.pdf
Spark-Your-Legacy---Real-World-Lessons-From-Distributing-An-8-Year-Old-Monolith.pdf
Spatial-Analysis-On-Histological-Images-Using-Spark.pdf
Structuring-Spark--Dataframes,-Datasets-And-Streaming.pdf
Temporal-Operators-For-Spark-Streaming-And-Its-Application-For-Office365-Service-Monitoring.pdf
The-Internet-of-Everywhere—How-IBM-The-Weather-Company-Scales.pdf
Time-Evolving-Graph-Processing-On-Commodity-Clusters.pdf
Top-5-Lessons-Learned-in-Building-Streaming-Applications-at-Microsoft-Bing-Scale.pdf
Top-5-Mistakes-When-Writing-Spark-Applications.pdf
Understanding-Memory-Management-In-Spark-For-Fun-And-Profit.pdf
Unified-Framework-for-Real-Time,-Near-Real-Time-and-Offline-Analysis-of-Video-Streaming-Using-Apache-Spark-and-Databricks.pdf
Utilizing-Human-Data-Validation-For-KPI-Analysis-And-Machine-Learning.pdf
Vertica-And-Spark--Connecting-Computation-And-Data.pdf
Video-Games-at-Scale--Improving-the-gaming-experience-with-Apache-Spark.pdf
Which-Is-Deeper---Comparison-Of-Deep-Learning-Frameworks-On-Spark.pdf
Yggdrasil--Faster-Decision-Trees-Using-Column-Partitioning-In-Spark.pdf
 
 BE PART OF THE PREMIER BIG DATA EVENT FOR THE APACHE® SPARK™ COMMUNITY.
Since inaugural event in 2013, thousands of developers, scientists, analysts, researchers and executives from around the globe have flocked to Spark Summit to better understand how big data, machine learning and data science can deliver new insights. Whether you’re new to Apache Spark or a hardcore enthusiast, Spark Summit is the place to meet with leading experts to share knowledge, receive training and foster valuable connections.

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