Create Control Without Constraint in Distributed Data Management
Most data stacks begin governance at the warehouse, but they don't know where that ELT data came from and what the context and source is. We need to fix
Time Consumed by Data Prep: Is This a Bad Thing?
Data professionals are spending too much time on data prep, but the quality assurance that provides ensures projects are working with clean data
From Big Data to Bigger Data: Redoing Data Preparation
The volume of data is outpacing the ability to handle it. As such, more attention must be placed on automating data
Databricks Launches Open Source Delta Sharing Project
Delta Sharing is an open protocol for securely sharing data across organizations in real time, completely independent of the platform on which the data …
Does Having a Chief Data Officer Make You More Data-Driven?
Having a chief data officer is no guarantee of success. They often face challenges that prevent companies from realizing their data-driven
Improve Data Lifecycle Efficiency with Automation
Organizations that look at data as they do any other critical corporate asset or resource will be the most successful.
Splunk Aims to Drive Real-time Analytics
The decision to build Splunk DSP and acquire Streamlio is being driven by the increased need to respond to events in real
Meet the ETL Challenges of IoT Data and Maximize ROI
Organizations can optimize IoT data, quickly and cost-effectively deriving its business value by developing expertise in ETL (extract, transfer, load) …
What is the Relevance of ETL in 2018?
IT execs are debating whether ETL (Extract, Transform and Load) is still relevant in a big data and cloud-based data warehouse world. Let's take a
