Help us shape the future of .NET for Apache Spark

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

Data Engineer (Develops data processing pipelines and scripts to prepare and curate data from a variety of sources)

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)

Academic Researcher

Hobbyist

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

Other (please specify)

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* 2. How would you describe your company?

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

Small-sized company (< 100 employees)

Start-up

Medium-sized company (100 - 1000 employees)

Large-sized company (> 1000 employees)

Freelancer, consultant, self-employed

Other (please specify)

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

PHP

Scala

SQL

Java

JavaScript

C++

Swift

Julia

Node

.NET

Python

Other (please specify)

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* 4. What kind of apps are you building?

Cloud

Desktop

Internet of Things

Games

Mobile

None

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

Actively developing and leveraging Big Data solutions

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

Not interested in Big Data

Other (please specify)

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

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

Jupyter Notebooks or REPL environments

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

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

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

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

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

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?

Apache Hadoop

Apache Hive

Azure Data Lake

Azure Time Series Insights

Cloudera / Hortonworks

Apache Spark

Azure Stream Analytics

Azure HDInsight

None -- I have not used Big Data

Apache Kafka

DataBricks

Presto

MongoDB

AI Batch

Google Dataproc, BigQuery etc.

Microsoft Prose SDK

Amazon EMR etc.

Azure EventHub (Kafka)

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