Help us shape the future of .NET for Apache Spark

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* 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)

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)

Hobbyist

Academic Researcher

Other (please specify)

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* 2. How would you describe your company?

Start-up

Medium-sized company (100 - 1000 employees)

Freelancer, consultant, self-employed

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

Small-sized company (< 100 employees)

Large-sized company (> 1000 employees)

Other (please specify)

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

Scala

Python

JavaScript

Java

PHP

Julia

C++

Node

Swift

SQL

.NET

Other (please specify)

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* 4. What kind of apps are you building?

Web

Games

Desktop

Internet of Things

None

Cloud

Mobile

Other (please specify)

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

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

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

Not interested in Big Data

Actively developing and leveraging Big Data solutions

Other (please specify)

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

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

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

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

Jupyter Notebooks or REPL environments

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

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

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

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

Other (please specify)

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

Azure HDInsight

Cloudera / Hortonworks

Presto

Apache Kafka

AI Batch

Microsoft Prose SDK

Azure Data Lake

Azure EventHub (Kafka)

Apache Hadoop

MongoDB

Apache Spark

Amazon EMR etc.

DataBricks

Apache Hive

Google Dataproc, BigQuery etc.

Azure Time Series Insights

Azure Stream Analytics

None -- I have not used Big Data

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