Help us shape the future of .NET for Apache Spark

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

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

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)

Hobbyist

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

Academic Researcher

Other (please specify)

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* 2. How would you describe your company?

Medium-sized company (100 - 1000 employees)

Start-up

Large-sized company (> 1000 employees)

Freelancer, consultant, self-employed

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

Small-sized company (< 100 employees)

Other (please specify)

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

Java

Python

SQL

Node

C++

Swift

.NET

PHP

JavaScript

Scala

Julia

Other (please specify)

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* 4. What kind of apps are you building?

Cloud

Mobile

Web

Desktop

None

Games

Internet of Things

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

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

Actively developing and leveraging Big Data solutions

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?

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

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

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

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

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

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

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

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?

Azure EventHub (Kafka)

Google Dataproc, BigQuery etc.

Microsoft Prose SDK

None -- I have not used Big Data

Cloudera / Hortonworks

Azure Time Series Insights

Amazon EMR etc.

Presto

Apache Spark

Azure Data Lake

Azure Stream Analytics

Azure HDInsight

DataBricks

Apache Hadoop

Apache Kafka

Apache Hive

MongoDB

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