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)

Hobbyist

Academic Researcher

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

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

Data scientist (Build custom ML Models for a given data set and business problem)

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)

Freelancer, consultant, self-employed

Small-sized company (< 100 employees)

Large-sized company (> 1000 employees)

Medium-sized company (100 - 1000 employees)

Start-up

Other (please specify)

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

Scala

Swift

Python

Julia

SQL

.NET

JavaScript

Java

PHP

Node

C++

Other (please specify)

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* 4. What kind of apps are you building?

Cloud

Desktop

Internet of Things

Games

None

Web

Mobile

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

Not interested in Big Data

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?

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

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

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

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

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

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 Hive

Google Dataproc, BigQuery etc.

Apache Kafka

Cloudera / Hortonworks

Azure Stream Analytics

Apache Hadoop

DataBricks

Apache Spark

Microsoft Prose SDK

Azure Time Series Insights

Azure Data Lake

Presto

Azure EventHub (Kafka)

MongoDB

None -- I have not used Big Data

Amazon EMR etc.

Azure HDInsight

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