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)

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)

Academic Researcher

Hobbyist

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

Other (please specify)

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* 2. How would you describe your company?

Large-sized company (> 1000 employees)

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

Small-sized company (< 100 employees)

Medium-sized company (100 - 1000 employees)

Freelancer, consultant, self-employed

Start-up

Other (please specify)

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

C++

Scala

Swift

Python

SQL

Node

JavaScript

Java

Julia

PHP

.NET

Other (please specify)

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* 4. What kind of apps are you building?

Internet of Things

Mobile

Cloud

Web

Desktop

None

Games

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

Actively developing and leveraging Big Data solutions

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

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?

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

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

Jupyter Notebooks or REPL environments

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

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

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

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

Apache Hadoop

Presto

Azure HDInsight

MongoDB

Apache Hive

Azure Stream Analytics

Apache Kafka

Apache Spark

Cloudera / Hortonworks

Google Dataproc, BigQuery etc.

Azure Data Lake

Azure EventHub (Kafka)

None -- I have not used Big Data

AI Batch

Amazon EMR etc.

DataBricks

Microsoft Prose SDK

Azure Time Series Insights

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