In the last few years, the concept of data lake has become trendy for data storage and
analysis. Thus, several approaches have been proposed to build data lake systems …

In the last few years, the concept of data lake has become trendy for data storage and
analysis. Thus, several approaches have been proposed to build data lake systems …

In 2010, the concept of data lake emerged as an alternative to data warehouses for big data
management. Data lakes follow a schema-on-read approach to provide rich and flexible …

The concept of data lake was proposed more than a decade ago. Although progress has
been made in data lake research and applications, there are also numerous issues and …

Data lakes are becoming increasingly prevalent for Big Data management and data
analytics. In contrast to traditional 'schema-on-write'approaches such as data warehouses …

As the challenge of our time, Big Data still has many research hassles, especially the variety
of data. The high diversity of data sources often results in information silos, a collection of …

During recent years, data lakes emerged as a way to manage large amounts of
heterogeneous data for modern data analytics. Although various work on individual aspects …

Over the past decade, the data lake concept has emerged as an alternative to data
warehouses for storing and analyzing big data. A data lake allows storing data without any …

Data lakes have emerged as an alternative to data warehouses for the storage, exploration
and analysis of big data. In a data lake, data are stored in a raw state and bear no explicit …

Over the past two decades, we have witnessed an exponential increase of data production
in the world. So-called big data generally come from transactional systems, and even more …