Success Stories
2 min read

Success Story: Fintech data platform gets a boost from stream processing

A partnership between iZettle and GetInData originated in the form of a two-day workshop focused on analyzing iZettle’s needs and exploring multiple cloud providers’ offerings. Outcomes of this event led to a year-long collaboration on building a robust, third wave data platform.

The challenge

To ensure undisrupted business growth iZettle was looking for a data platform solution that could meet advanced analytics requirements and address the performance issues caused by rapidly swelling data collection. The platform should minimize the effort spent on maintenance work, allowing specialists to dedicate more time to exploratory data analysis and manufacturing business meaningful insights.

izettle getindata strem processing google cloud platform

The solution

Daily loading jobs were replaced with a streaming ingestion process running on Google DataFlow. Currently, BigQuery takes the role of a central data lake and a query engine. The ingestion process uses an internal message dictionary to validate and route messages to relevant tables. Analytics work is orchestrated with Cloud Composer and utilises BigQuery for SQL and DataFlow for complex scenarios.

The results

  • The introduction of dynamic streaming ingestion greatly reduced the effort and time required to onboard new sources into a data lake (days instead of weeks).
  • The new solution ensures that valid and complete information is ready for use ahead of a reporting day.
  • Thanks to simplified maintenance, teams can focus on data mining and analysis, armed with a wide range of tools that Google Cloud has to offer.
streaming
big data
google cloud platform
google dataflow
stream processing
cloud
BigQuery
27 May 2021

Want more? Check our articles

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
why big data projects fail blog

Why do Big Data projects fail? Part I. The Business Perspective.

In a recent post on out Big Data blog, "Big Data for E-commerce", I wrote about how Big Data solutions are becoming indispensable in modern business…

Read more
getindata big data blog apache sedona introduction
Tutorial

Introduction to Apache Sedona (incubating)

Apache Sedona is a distributed system which gives you the possibility to load, process, transform and analyze huge amounts of geospatial data across…

Read more
screenshot 2022 08 02 at 10.56.56
Tech News

2022 Big Data Trends: Retail and eCommerce become one of the hottest sectors for AI/ML

Nowadays, we can see that AI/ML is visible everywhere, including advertising, healthcare, education, finance, automotive, public transport…

Read more
1 RsDrT5xOpdAcpehomqlOPg
Big Data Event

2³ Reasons To Speak at Big Data Tech Warsaw 2020 (February 27th, 2020)

Big Data Technology Warsaw Summit 2020 is fast approaching. This will be 6th edition of the conference that is jointly organised by Evention and…

Read more
getindata flink kafka audio spectrum analyzer smalltext
Use-cases/Project

Puzzles in the time of plague: truly over-engineered audio spectrum analyzer

Quarantaine project Staying at home is not my particular strong point. But tough times have arrived and everybody needs to change their habits and re…

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.

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