Help us shape the future of .NET for Apache Spark

Question Title

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

Hobbyist

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

Academic Researcher

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)

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

Other (please specify)

Question Title

* 2. How would you describe your company?

Start-up

Freelancer, consultant, self-employed

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

Small-sized company (< 100 employees)

Medium-sized company (100 - 1000 employees)

Large-sized company (> 1000 employees)

Other (please specify)

Question Title

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

SQL

Scala

Swift

Java

.NET

Node

PHP

JavaScript

Python

C++

Julia

Other (please specify)

Question Title

* 4. What kind of apps are you building?

Games

Internet of Things

None

Mobile

Cloud

Web

Desktop

Other (please specify)

Question Title

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

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

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

Other (please specify)

Question Title

* 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.)

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

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

Jupyter Notebooks or REPL environments

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

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

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

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

Other (please specify)

Question Title

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

Amazon EMR etc.

Azure Time Series Insights

Cloudera / Hortonworks

DataBricks

MongoDB

Microsoft Prose SDK

AI Batch

Azure Data Lake

Azure HDInsight

Apache Kafka

Apache Hive

Azure Stream Analytics

None -- I have not used Big Data

Google Dataproc, BigQuery etc.

Azure EventHub (Kafka)

Apache Spark

Presto

Apache Hadoop

Other (please specify)

Question Title

* 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.)

Question Title

* 9. Have you had a chance to play with .NET for Apache Spark? If so, how was your experience?

Yes

If Yes, please explain