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) Academic Researcher Hobbyist 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) Business Analyst (Develops reports and runs queries on curated data) Other (please specify) OK Question Title * 2. How would you describe your company? Freelancer, consultant, self-employed None of the above (e.g. I am a student or hobbyist) Large-sized company (> 1000 employees) Start-up Medium-sized company (100 - 1000 employees) Small-sized company (< 100 employees) Other (please specify) OK Question Title * 3. What language do you use for your application development? SQL Node Swift Java JavaScript VB PHP .NET Go F# Python Scala Julia C++ R C# Other (please specify) OK Question Title * 4. What kind of apps are you building? Desktop Games Mobile Cloud Internet of Things Web 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 Recently started developing Big Data solution (<6 months ago) Actively developing and leveraging Big Data 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) Data Ingestion Tools (Azure Data Factory, StreamSets, Talend, Oozie etc.) SQL Editor (e.g. RedGate, JetBrains DataGrip, Azure DataStudio) 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 Other (please specify) OK Question Title * 7. Which frameworks, libraries and cloud services have you used for Big Data? Microsoft Prose SDK Apache Hive Azure Stream Analytics Presto Cloudera / Hortonworks Azure HDInsight DataBricks Apache Spark MongoDB Google Dataproc, BigQuery etc. Apache Kafka AI Batch Azure Data Lake Amazon EMR etc. Apache Hadoop Azure EventHub (Kafka) None -- I have not used Big Data Azure Time Series Insights 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