Help us shape the future of .NET for Apache Spark Question Title * 1. Which of the following best describes your role? Data scientist (Build custom ML Models for a given data set and business problem) Academic Researcher Hobbyist Business Analyst (Develops reports and runs queries on curated data) 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) Other (please specify) OK Question Title * 2. How would you describe your company? Small-sized company (< 100 employees) Freelancer, consultant, self-employed Medium-sized company (100 - 1000 employees) Start-up Large-sized company (> 1000 employees) None of the above (e.g. I am a student or hobbyist) Other (please specify) OK Question Title * 3. What language do you use for your application development? VB C# JavaScript Scala Python PHP Julia SQL C++ Node Go F# .NET Swift R Java Other (please specify) OK Question Title * 4. What kind of apps are you building? Games Web Cloud Mobile Desktop Internet of Things None Other (please specify) OK Question Title * 5. How would you describe your current usage of Big Data and Apache Spark? Not interested in Big Data Interested in learning about Big Data but have not actively developed any solutions Actively developing and leveraging Big Data solutions Recently started developing Big Data solution (<6 months ago) Other (please specify) OK Question Title * 6. What tools do you use for building your Big Data and Apache Spark jobs? SQL Editor (e.g. RedGate, JetBrains DataGrip, Azure DataStudio) Jupyter Notebooks or REPL environments Code Editors (e.g. Visual Studio Code, Sublime, Notepad, Vim etc.) Data management tools (Azure Data Catalog, Waterline Data, Informatica, Apache Atlas etc.) Integrated Development Environments (e.g. IntelliJ, Visual Studio, XCode, Spyder etc.) Data Ingestion Tools (Azure Data Factory, StreamSets, Talend, Oozie etc.) Data Wrangling tools (e.g. Paxata, Trifacta) ML tools (e.g. Azure ML, RapidMiner, Data Robot, Dataiku, H20.ai) Other (please specify) OK Question Title * 7. Which frameworks, libraries and cloud services have you used for Big Data? Presto Amazon EMR etc. Apache Hive Cloudera / Hortonworks Google Dataproc, BigQuery etc. Azure EventHub (Kafka) Microsoft Prose SDK AI Batch Apache Spark None -- I have not used Big Data Azure Stream Analytics MongoDB DataBricks Azure HDInsight Azure Time Series Insights Azure Data Lake Apache Hadoop Apache Kafka 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