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)

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

Hobbyist

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)

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)

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

Large-sized company (> 1000 employees)

Start-up

Freelancer, consultant, self-employed

Other (please specify)

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

Swift

SQL

Python

Node

C++

JavaScript

Java

Julia

.NET

Scala

PHP

Other (please specify)

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* 4. What kind of apps are you building?

Internet of Things

Desktop

None

Games

Mobile

Cloud

Web

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)

Interested in learning about Big Data but have not actively developed any solutions

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)

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

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

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

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

Jupyter Notebooks or REPL environments

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?

None -- I have not used Big Data

Google Dataproc, BigQuery etc.

Azure Time Series Insights

Azure Stream Analytics

MongoDB

Amazon EMR etc.

Microsoft Prose SDK

Apache Kafka

Apache Hive

DataBricks

Apache Hadoop

AI Batch

Azure Data Lake

Azure EventHub (Kafka)

Azure HDInsight

Apache Spark

Cloudera / Hortonworks

Presto

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