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