Help us shape the future of .NET for Apache Spark

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* 1. Which of the following best describes your role?

Data scientist (Build custom ML Models for a given data set and business problem)

Developer (Develops end user applications, some of which require access to curated data)

Hobbyist

Academic Researcher

Business Analyst (Develops reports and runs queries on curated data)

Data Engineer (Develops data processing pipelines and scripts to prepare and curate data from a variety of sources)

Other (please specify)

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* 2. How would you describe your company?

Small-sized company (< 100 employees)

None of the above (e.g. I am a student or hobbyist)

Large-sized company (> 1000 employees)

Medium-sized company (100 - 1000 employees)

Start-up

Freelancer, consultant, self-employed

Other (please specify)

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* 3. What language do you use for your application development?

Python

SQL

Node

C++

Scala

Julia

Java

.NET

Swift

JavaScript

PHP

Other (please specify)

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* 4. What kind of apps are you building?

None

Web

Internet of Things

Mobile

Games

Desktop

Cloud

Other (please specify)

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* 5. How would you describe your current usage of Big Data and Apache Spark?

Actively developing and leveraging Big Data solutions

Recently started developing Big Data solution (<6 months ago)

Not interested in Big Data

Interested in learning about Big Data but have not actively developed any solutions

Other (please specify)

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* 6. What tools do you use for building your Big Data and Apache Spark jobs?

SQL Editor (e.g. RedGate, JetBrains DataGrip, Azure DataStudio)

Jupyter Notebooks or REPL environments

Code Editors (e.g. Visual Studio Code, Sublime, Notepad, Vim etc.)

ML tools (e.g. Azure ML, RapidMiner, Data Robot, Dataiku, H20.ai)

Data management tools (Azure Data Catalog, Waterline Data, Informatica, Apache Atlas etc.)

Integrated Development Environments (e.g. IntelliJ, Visual Studio, XCode, Spyder etc.)

Data Ingestion Tools (Azure Data Factory, StreamSets, Talend, Oozie etc.)

Data Wrangling tools (e.g. Paxata, Trifacta)

Other (please specify)

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* 7. Which frameworks, libraries and cloud services have you used for Big Data?

Apache Kafka

Azure HDInsight

Apache Hive

Amazon EMR etc.

Google Dataproc, BigQuery etc.

Azure Data Lake

MongoDB

Azure Time Series Insights

Azure EventHub (Kafka)

Azure Stream Analytics

None -- I have not used Big Data

Apache Spark

DataBricks

AI Batch

Presto

Apache Hadoop

Cloudera / Hortonworks

Microsoft Prose SDK

Other (please specify)

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* 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.)

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* 9. Have you had a chance to play with .NET for Apache Spark? If so, how was your experience?

Yes

If Yes, please explain