Whitepaper
1 min read

White Paper: Stream Processing Explained

Stream Processing
White Paper: Stream Processing Explained

Stream Processing

In this White Paper we cover topic such as characteristic of streaming, the challegnges of stream processing, information about open source technologies and many more. We made sure to easily convey the necessary knowledge about these issues.

What you will find in White Paper about stream processing?

Download the Stream Processing Explained and read about the following subjects:

  • stream processing use-cases

  • explaining of event bus

  • choosing of stream processing framework

  • stream processing challenges, like corrupted events,

  • and Pros and Cons of Spark Structured Streaming, Apache Flink and Kafka Connect

Sounds interesting? Download our White Paper and learn about stream processing.

streaming
big data
analytics
batch processing
data management platform
apache flink
kafka
spark
spark streaming
23 August 2021

Want more? Check our articles

observability using grafanaobszar roboczy 1 4
Tutorial

Observability using Grafana - lessons learned

Introduction At GetInData, we understand the value of full observability across our application stacks. In this article we will share with you our…

Read more
deep learning azure kedroobszar roboczy 1 4
Tutorial

Deep Learning with Azure: PyTorch distributed training done right in Kedro

At GetInData we use the Kedro framework as the core building block of our MLOps solutions as it structures ML projects well, providing great…

Read more
radiodatawilla
Radio DaTa Podcast

Data Journey with Arunabh Singh (Willa) – Building robust ML & Analytics capability very early with FinTech, skills & competencies for data scientists with ML/AI predictions for the next decades.

In this episode of the RadioData Podcast, Adama Kawa talks with Arunabh Singh about Willa use cases (​ FinTech): the most important ML models…

Read more
deploying serverless mlflow google cloud platform using cloud run machine learning getindata notext
Tutorial

Deploying serverless MLFlow on Google Cloud Platform using Cloud Run

At GetInData, we build elastic MLOps platforms to fit our customer’s needs. One of the key functionalities of the MLOps platform is the ability to…

Read more
1YkseCzHNQ9Sxsi4BHnoCOQ
Use-cases/Project

Enabling Hive on Spark on CDH 5.14 — a few problems (and solutions)

Recently I’ve had an opportunity to configure CDH 5.14 Hadoop cluster of one of GetInData’s customers to make it possible to use Hive on Spark…

Read more
noweobszar roboczy 1 3

GetInData in 2022 - achievements and challenges in Big Data world

Time flies extremely fast and we are ready to summarize our achievements in 2022. Last year we continued our previous knowledge-sharing actions and…

Read more

Contact us

Interested in our solutions?
Contact us!

Together, we will select the best Big Data solutions for your organization and build a project that will have a real impact on your organization.


What did you find most impressive about GetInData?

They did a very good job in finding people that fitted in Acast both technically as well as culturally.
Type the form or send a e-mail: hello@getindata.com
The administrator of your personal data is GetInData Poland Sp. z o.o. with its registered seat in Warsaw (02-508), 39/20 Pulawska St. Your data is processed for the purpose of provision of electronic services in accordance with the Terms & Conditions. For more information on personal data processing and your rights please see Privacy Policy.

By submitting this form, you agree to our Terms & Conditions and Privacy Policy