Discover how LeanXcale innovations accelerate the processing of large volumes of information in an analytical data pipeline with a live demonstration.

Being data-driven has become a key advantage for financial services companies. But, year after year the volume of existing information increases exponentially. This poses new technological challenges, and the need for agile data architectures, capable of scaling as much as necessary and combining high ingestion with fast processing.

In this webinar, we will show how it is possible to create a simple architecture that enables fast massive data ingestion, processing and analysis in real time.

In addition, we will show a demo in which we insert records from a loan dataset at a rate of 350 thousand records per second, using a pair of basic servers with four cores and 16GB of memory, while executing SQL queries on this data.

In this webinar, which will last approximately 45 minutes and will be held on October 30th at 18:00 CET, we will discuss the following topics:

• The Problems of Real-Time
• What does the Perfect Solution look like?
• The Necessary Technology
• Demo: Massive Transaction Processing
• Questions

Juan is a telecommunications engineer from Polytechnic University of Madrid (UPM). He is co-founder of three startups, and currently Product and Strategy Manager at LeanXcale, where he combines his technical background with his passion for innovation.