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