Help us shape the future of .NET for Apache Spark

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

Academic Researcher

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

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

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

Hobbyist

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?

Freelancer, consultant, self-employed

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)

Start-up

Other (please specify)

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

Scala

PHP

C++

.NET

JavaScript

Swift

Python

Node

Julia

SQL

Java

Other (please specify)

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* 4. What kind of apps are you building?

Cloud

Mobile

Web

None

Desktop

Internet of Things

Games

Other (please specify)

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* 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

Not interested in Big Data

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

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

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

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

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

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

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

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

Jupyter Notebooks or REPL environments

Other (please specify)

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

Apache Kafka

Azure HDInsight

Microsoft Prose SDK

Azure Data Lake

Azure Time Series Insights

Apache Hadoop

Azure Stream Analytics

DataBricks

Apache Spark

Cloudera / Hortonworks

Apache Hive

Azure EventHub (Kafka)

Amazon EMR etc.

MongoDB

None -- I have not used Big Data

Presto

Google Dataproc, BigQuery etc.

AI Batch

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