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)

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)

Academic Researcher

Other (please specify)

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* 2. How would you describe your company?

Start-up

Freelancer, consultant, self-employed

Large-sized company (> 1000 employees)

Medium-sized company (100 - 1000 employees)

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?

Swift

Python

Scala

Java

JavaScript

PHP

SQL

.NET

Node

C++

Julia

Other (please specify)

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* 4. What kind of apps are you building?

Internet of Things

Desktop

Web

Cloud

Games

Mobile

None

Other (please specify)

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* 5. How would you describe your current usage of Big Data and Apache Spark?

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

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.)

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

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

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

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

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

Jupyter Notebooks or REPL environments

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?

Azure EventHub (Kafka)

None -- I have not used Big Data

Google Dataproc, BigQuery etc.

Apache Spark

MongoDB

Microsoft Prose SDK

Azure HDInsight

DataBricks

Presto

Apache Hadoop

Amazon EMR etc.

Apache Kafka

Azure Stream Analytics

Apache Hive

AI Batch

Azure Time Series Insights

Cloudera / Hortonworks

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