Scott Logic

JULY 26, 2023

The theory was that the bot would be able to interact with the bank’s systems and with the user so as to enrich the bank’s understanding of the customer and connect them to the most suitable products and services. Not all of the data needs to be sought from the customer. The Knowledge Graph can pull data from other systems.

Banking 52

Banking Aggregated Data Retail Architecture 52

AltexSoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. What does the high-performance data project have to do with the real Franz Kafka’s heritage? process data in real time and run streaming analytics. Practically, nothing. Kafka topic and partition.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

Rockset

FEBRUARY 25, 2021

It’s difficult to create data analytics systems that can easily query across your various data sources while maintaining fast performance and real-time capabilities. Elasticsearch , originally developed for text search, has recently tried to push into the data analytics space. This can be a challenge, though.

SQL 40

SQL Data Pipeline Kafka Database 40

Cloudera

MARCH 29, 2021

For more than three decades, SQL has been an accepted way to conduct queries across a range of database systems. SQL is also one of the most popular skillsets amongst the key enterprise data personas. This again liberates the value locked up in real-time data streams to more applications across the enterprise.

SQL 115

SQL Scala Manufacturing Java 115