Simplifying Big Data Applications with Apache Spark 2.0 The Next AMPLab: Real-Time, Intelligent, and Secure Computing MmmooOgle: From Big Data to Decisions for Dairy Cows Mentor and Mentee Relations Based on Authorship Graphs Spark's Performance: The Past, Present, and Future Automatic Checkpointing in Spark High-Throughput Genomics at Your Fingertips with Apache Spark How to Connect Spark to Your Own Datasource Effective Spark with Alluxio Dynamic On-the-Fly Modifications of Spark Applications Making the Switch: Predictive Maintenance on Railway Switches Dynamic Resource Allocation, Do More With Your Cluster Lessons Learned Optimizing NoSQL for Apache Spark Data-Aware Spark Vegas, the Missing MatPlotLib for Spark A Deep Dive into the Catalyst Optimizer Lambda Architecture with Spark in the IoT Scaling Factorization Machines on Spark Using Parameter Servers OrderedRDD: A Distributed Time Series Analysis Framework for Spark SparkLint: a Tool for Monitoring, Identifying and Tuning Inefficient Spark Jobs Across Your Cluster Performance Characterization of Apache Spark on Scale-up Servers Origin-Destination Matrix Using Mobile Network Data with Spark How We Built an Event-Time Merge of Two Kafka-Streams with Spark Streaming Sparkling Water 2.0: The Next Generation of Machine Learning on Apache Spark Boosting Spark Performance on Many-Core Machines From Single-Tenant Hadoop to 3000 Tenants in Apache Spark: Experiences from Watson Analytics Spark and Object Stores —What You Need to Know Better Together: Fast Data with Apache Spark and Apache Ignite On-Premise Spark-as-a-Service for Swedish Researchers Mastering Spark Unit Testing Get Rid of Traditional ETL, Move to Spark! SparkSheet—Transforming Spreadsheets into Spark DataFrames Hive to Spark—Journey and Lessons Learned Apache Spark 2.0 Performance Improvements Investigated With Flame Graphs Glint: An Asynchronous Parameter Server for Spark Accelerating Spark Machine Learning with Redis Modules Democratizing AI with Apache Spark Extreme-scale Ad-Tech using Spark and Databricks at MediaMath The Spark (R)evolution in The Netherlands From Machine Learning to Learning Machines: Creating an End-to-End Cognitive Process with Apache Spark™ How Apache Spark Is Helping Tame the Wild West of Wi-Fi The Potential of GPU-driven High Performance Data Analytics in Spark Time Series Analysis with Spark in the Automotive R&D Process TensorFrames: Deep Learning with TensorFlow on Apache Spark Using SparkR to Scale Data Science Applications in Production: Lessons From the Field Talk Data to Me: Sparking Insights at Elsevier Finding Outliers in Streaming Data: A Scalable Approach MLeap and Combust.ML: Deploying Machine Learning Models to Production Mobility Insights at Swisscom: Understanding Collective Mobility in Switzerland Building Data Pipelines with Spark and StreamSets Fusing Apache Spark and Lucene for Near-Realtime Predictive Model Building Just Enough Scala for Spark Apache Spark at Scale: A 60 TB+ Production Use Case Paddling Up the Stream Online Learning with Structured Streaming Apache Kudu and Spark SQL for Fast Analytics on Fast Data Spark Streaming at Bing Scale Spark—Universal Computation Engine for Processing Oil Industry Data Prediction as a Service with Ensemble Model Trained in SparkML on 1 billion Observed Flight Prices Daily SparkOscope: Enabling Apache Spark Optimization Through Cross-Stack Monitoring and Visualization Adopting Dataframes and Parquet in an Already Existing Warehouse A Journey from Scikit-learn to Spark Problem Solving Recipes Learned from Supporting Spark Spark and Couchbase—Augmenting the Operational Database with Spark Spark Cluster with Elasticsearch Inside Build Your Next Apache Spark Job in .NET Using Mobius Extending Spark with Java Agents No One Puts Spark in the Container Spark SQL 2.0 Experiences Using TPC-DS Containerized Spark on Kubernetes Productizing a Spark and Cassandra Based Solution in Telecom Spark Streaming in a Multitenant World Solving the App Market with Only Grit, Hustle, and a Spark Cluster How Spark is Enabling the New Wave of Converged Applications Distributed Computing with Spark for Actionable Business Insights