In our articles related to AI and Big Data in healthcare, we always talk about ETL as the core of the core process. We do not write a lot about ETL itself, though. In this post, we'll give a short overview of this procedure and its applications in businesses. ETL is the abbreviation for Extract, Transform, Load that are three database functions: Extract is the process of … [Read more...] about What is ETL?
ETL
Flink Forward Europe 2019
Flink Forward is the conference dedicated to Apache Flink and stream processing community. The 5th annual Flink Forward conference'will take place on October 7-9, 2019, in Berlin.'This year's Flink Forward'is moving to a new venue in the heart of Berlin'bringing over 600 software engineers,'Flink core committers, data scientists, and DevOps data professionals'under the … [Read more...] about Flink Forward Europe 2019
JSON: To ETL or to NoETL? The Big Data Question
NoETL. The little brother of NoSQL You have probably come across the term NoSQL. It was coined a few years back to describe a class of database systems that can scale across a large number of nodes for distributed (and sometimes global processing) of transactions (OLTP). Very early technologies were DynamoDB and Cassandra. These technologies trade in scalability for consistency … [Read more...] about JSON: To ETL or to NoETL? The Big Data Question
Data Supply Framework 3.0 ETL Patterns
This article is the first in a series of articles that discuss aspects of the use of architectural patterns in the Cambriano Information Supply Framework 3.0 The term architectural pattern may sound grand, misleading or daunting, but its really quite a simple concept. Its like writing a function in a programming language to log in to a database, check that the connection is … [Read more...] about Data Supply Framework 3.0 ETL Patterns
The Newcomers Guide to Data Warehouse Software
"Data warehouse" is a term that's been used in business intelligence since 1990. It refers to a collection of data that's kept separate from day-to-day operational data, such as transaction records, in order to provide a consistent historical dataset. For that reason, the information in a data warehouse must be unchanging and integrated as a cohesive structure that can be used … [Read more...] about The Newcomers Guide to Data Warehouse Software