Help us shape the future of .NET for Apache Spark Question Title * 1. Which of the following best describes your role? Hobbyist Developer (Develops end user applications, some of which require access to curated data) Data Engineer (Develops data processing pipelines and scripts to prepare and curate data from a variety of sources) Business Analyst (Develops reports and runs queries on curated data) Data scientist (Build custom ML Models for a given data set and business problem) Academic Researcher Other (please specify) OK Question Title * 2. How would you describe your company? Large-sized company (> 1000 employees) None of the above (e.g. I am a student or hobbyist) Freelancer, consultant, self-employed Start-up Small-sized company (< 100 employees) Medium-sized company (100 - 1000 employees) Other (please specify) OK Question Title * 3. What language do you use for your application development? Scala R Go Node Swift JavaScript Java Python C++ C# SQL F# VB .NET PHP Julia Other (please specify) OK Question Title * 4. What kind of apps are you building? Mobile Games Internet of Things Web Cloud None Desktop Other (please specify) OK Question Title * 5. How would you describe your current usage of Big Data and Apache Spark? Actively developing and leveraging Big Data solutions Recently started developing Big Data solution (<6 months ago) Interested in learning about Big Data but have not actively developed any solutions Not interested in Big Data Other (please specify) OK Question Title * 6. What tools do you use for building your Big Data and Apache Spark jobs? Data management tools (Azure Data Catalog, Waterline Data, Informatica, Apache Atlas etc.) Jupyter Notebooks or REPL environments ML tools (e.g. Azure ML, RapidMiner, Data Robot, Dataiku, H20.ai) Integrated Development Environments (e.g. IntelliJ, Visual Studio, XCode, Spyder etc.) Data Wrangling tools (e.g. Paxata, Trifacta) Data Ingestion Tools (Azure Data Factory, StreamSets, Talend, Oozie etc.) Code Editors (e.g. Visual Studio Code, Sublime, Notepad, Vim etc.) SQL Editor (e.g. RedGate, JetBrains DataGrip, Azure DataStudio) Other (please specify) OK Question Title * 7. Which frameworks, libraries and cloud services have you used for Big Data? AI Batch Apache Hive Azure EventHub (Kafka) None -- I have not used Big Data Presto DataBricks Cloudera / Hortonworks Google Dataproc, BigQuery etc. Apache Kafka MongoDB Azure HDInsight Azure Data Lake Azure Stream Analytics Amazon EMR etc. Apache Spark Microsoft Prose SDK Azure Time Series Insights Apache Hadoop Other (please specify) OK Question Title * 8. How best would you explain the use of Big Data in your organization (e.g. Data Warehousing, Real Time/Streaming solutions, Log Processing etc.) OK Question Title * 9. Have you had a chance to play with .NET for Apache Spark? If so, how was your experience? No Yes If Yes, please explain OK NEXT