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)

Academic Researcher

Hobbyist

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

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

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

Other (please specify)

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* 2. How would you describe your company?

Small-sized company (< 100 employees)

Freelancer, consultant, self-employed

Medium-sized company (100 - 1000 employees)

Start-up

Large-sized company (> 1000 employees)

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?

JavaScript

Scala

Python

PHP

Julia

SQL

C++

Node

.NET

Swift

Java

Other (please specify)

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* 4. What kind of apps are you building?

Games

Web

Cloud

Mobile

Desktop

Internet of Things

None

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

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)

Other (please specify)

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

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

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.)

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

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

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

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

Other (please specify)

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* 7. Which frameworks, libraries and cloud services have you used for Big Data?

Presto

Amazon EMR etc.

Apache Hive

Cloudera / Hortonworks

Google Dataproc, BigQuery etc.

Azure EventHub (Kafka)

Microsoft Prose SDK

AI Batch

Apache Spark

None -- I have not used Big Data

Azure Stream Analytics

MongoDB

DataBricks

Azure HDInsight

Azure Time Series Insights

Azure Data Lake

Apache Hadoop

Apache 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