Help us shape the future of .NET for Apache Spark

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

Hobbyist

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

Academic Researcher

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)

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

Other (please specify)

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* 2. How would you describe your company?

Freelancer, consultant, self-employed

Start-up

Small-sized company (< 100 employees)

Medium-sized company (100 - 1000 employees)

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

Large-sized company (> 1000 employees)

Other (please specify)

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

C++

PHP

SQL

Python

Julia

.NET

JavaScript

Swift

Node

Scala

Java

Other (please specify)

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* 4. What kind of apps are you building?

Web

Games

Internet of Things

None

Cloud

Mobile

Desktop

Other (please specify)

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

Not interested in Big Data

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

Actively developing and leveraging Big Data solutions

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

Other (please specify)

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

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

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

Jupyter Notebooks or REPL environments

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

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

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

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

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

Other (please specify)

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

Cloudera / Hortonworks

Presto

None -- I have not used Big Data

Apache Hive

DataBricks

Apache Spark

Google Dataproc, BigQuery etc.

Azure Data Lake

Azure HDInsight

Apache Hadoop

Microsoft Prose SDK

AI Batch

Azure Stream Analytics

MongoDB

Azure Time Series Insights

Azure EventHub (Kafka)

Apache Kafka

Amazon EMR etc.

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