Data Lake stories

Enterprises can utilise data lakes to increase agile data delivery; however, they can't reap those benefits without addressing the challenges.

CDP One makes it faster, easier and less risky for businesses to move to the cloud and migrate existing workloads to a modern data architecture.

"Imperva DSF gives organisations building data lakes on AWS a streamlined experience for securing data, and confidence that their data lakes are in compliance."

Multiple data cloud innovations have been unveiled at the Google Cloud summit, allowing customers to work with unlimited data across all workloads.

Databricks has launched its first lakehouse platform for organisations across the healthcare and life sciences industries, increasing the scope for innovation.

"This marks a thrilling new chapter that will allow us to accelerate our pace of innovation and further invest in the success of data-driven organisations on their journey to the lakehouse.”

There are many variables to consider when deciding to move data into a database with either the ETL or ELT method, writes SnapLogic CTO Craig Stewart.

Databricks has launched SQL Analytics, which enables cloud data warehousing on data lakes and offers improved price and performance over traditional cloud data warehouses.

“Talend provides both a powerful integration platform for data engineers and a simple-to-use data ingestion tool for business analysts."

While data lakes are great when it comes to storage, they don’t perform well when it comes to analysis and reporting. The vast volumes and multiple formats mean that traditional data warehouse tools are unsuitable and another approach needs to be found.

"It helps banks redefine converged data lakes for finance and achieve more intelligent and real-time data analysis, accelerating the conversion from data to value and digital transformation."

AWS Lake Formation aims to simplify and automate the creation of a data lake, including data collection, cleaning, and cataloguing, as well as data availability for analytics.

Schneider Electric's Kevin Brown discusses the confusion surrounding edge computing and what he believes is the definition - and its place in our future.

New acquisition expands Qlik’s portfolio beyond analytics, enabling analytics-ready data strategy to drive data-driven transformation.

A data lake is a large body of raw data held in a natural state where different users can examine it, delve into it, or extract samples from it.

A “data lake” sure sounds inviting. But without the right approach, that data lake isn’t as welcoming as it looks on the surface.

Talend has unveiled a new solution for deploying cloud data lakes on Amazon Web Services (AWS) platforms.

“Big Data initiatives are an important part of growing an organisation, but the process is still complex and challenging for everyone involved."

The trio have announced a new governed GDPR data lake solution to address requirements of the EU's upcoming GDPR legislation.

Making sense of data in a unified model is crucial. Without that, we end up with data but not information.

Information is pouring into companies faster, so businesses are drowning in a flood so great it has become known as the ‘data lake’.

A city built around trillions of 0s and 1s rather than physical infrastructure is a foreign concept, so naturally several questions spring to mind.

This huge wave of data is overwhelming many existing enterprise storage infrastructures.

The introduction of data lakes is one of the most significant changes to enterprise data warehouse technology, according to CenturyLink.