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

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)

Hobbyist

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)

Other (please specify)

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* 2. How would you describe your company?

Medium-sized company (100 - 1000 employees)

Small-sized company (< 100 employees)

Freelancer, consultant, self-employed

Large-sized company (> 1000 employees)

Start-up

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

Other (please specify)

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

Julia

Scala

JavaScript

Node

Python

C++

Java

PHP

SQL

Swift

.NET

Other (please specify)

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* 4. What kind of apps are you building?

Games

Internet of Things

Mobile

None

Cloud

Desktop

Web

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

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)

Jupyter Notebooks or REPL environments

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.)

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

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

MongoDB

Azure HDInsight

Azure Stream Analytics

Microsoft Prose SDK

Apache Hadoop

DataBricks

Apache Hive

Apache Kafka

Azure Time Series Insights

Cloudera / Hortonworks

Apache Spark

Presto

None -- I have not used Big Data

AI Batch

Google Dataproc, BigQuery etc.

Amazon EMR etc.

Azure EventHub (Kafka)

Azure Data Lake

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