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) Hobbyist Academic Researcher Developer (Develops end user applications, some of which require access to curated data) Business Analyst (Develops reports and runs queries on curated data) 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? None of the above (e.g. I am a student or hobbyist) Freelancer, consultant, self-employed Small-sized company (< 100 employees) Large-sized company (> 1000 employees) Medium-sized company (100 - 1000 employees) Start-up Other (please specify) OK Question Title * 3. What language do you use for your application development? R VB Scala Swift Python Julia SQL F# .NET JavaScript Go Java PHP Node C# C++ Other (please specify) OK Question Title * 4. What kind of apps are you building? Cloud Desktop Internet of Things Games None Web Mobile Other (please specify) OK Question Title * 5. How would you describe your current usage of Big Data and Apache Spark? Recently started developing Big Data solution (<6 months ago) Actively developing and leveraging Big Data solutions Not interested in Big Data 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? Data Ingestion Tools (Azure Data Factory, StreamSets, Talend, Oozie etc.) ML tools (e.g. Azure ML, RapidMiner, Data Robot, Dataiku, H20.ai) Data Wrangling tools (e.g. Paxata, Trifacta) Integrated Development Environments (e.g. IntelliJ, Visual Studio, XCode, Spyder etc.) Code Editors (e.g. Visual Studio Code, Sublime, Notepad, Vim etc.) 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? Apache Hive Google Dataproc, BigQuery etc. Apache Kafka Cloudera / Hortonworks Azure Stream Analytics Apache Hadoop DataBricks Apache Spark Microsoft Prose SDK Azure Time Series Insights Azure Data Lake Presto Azure EventHub (Kafka) MongoDB None -- I have not used Big Data Amazon EMR etc. Azure HDInsight 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