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