Consumption-based Pricing: Ensuring Every Customer's Value and Success

Consumption-based, aka usage-based, pricing is hardly new. Anyone with an electricity, gas, or water bill knows that the amount you pay each month varies depending on your usage. More recently, disruptive companies have pushed other industries (transportation, hospitality, communications, and insurance) to transform by providing usage-based products and services via software applications. As consumers, we see this all around us, when we hail an Uber or choose a short-term rental on AirBnB.

How To Setup an SSH Tunnel Connection

In this video, we will set up an SSH tunnel connection within Xplenty to access a server on a private network. When configuring SSH tunnels for connecting to databases, authentication is performed using the SSH server. This can be done via either user name and password authentication or by using key-based authentication. Key-based authentication gives the user the ability to log in without a password.

Building a Real-Time ML Pipeline with a Feature Store - MLOps Live #16

With the growing business demand for real-time use cases such as NLP, fraud prediction, predictive maintenance and real-time recommendations, ML teams are feeling immense pressure to solve the operational challenges of real-time feature engineering for machine learning, in a simple and reproducible way. This is where online feature stores come in. An online feature store accelerates the development and deployment of online AI applications by automating feature engineering and providing a single pane of glass to build, share and manage features across the organization.

SQL Server SSRS, SSIS packages with Google Cloud BigQuery

After migrating a Data Warehouse to Google Cloud BigQuery, ETL and Business Intelligence developers are often tasked with upgrading and enhancing data pipelines, reports and dashboards. Data teams who are familiar with SQL Server Integration Services (SSIS) and SQL Server Reporting Services (SSRS) are able to continue to use these tools with BigQuery, allowing them to modernize ETL pipelines and BI platforms after an initial data migration is complete.

Payment gateway analytics for payment service providers

Payment gateway analytics tracks the payment processing journey and related event data across all payment gateways. When used efficiently, payment gateway analytics can benefit businesses by providing insights into their revenues, payment trends, and customer behavior. Payment gateway analytics provides much needed visibility into the payments environment to enable the fast detection of transaction performance issues, anomalies or trends.

Which Tables in a Data Warehouse Use Change Data Capture

In today’s 24/7 digital world, real-time data is a necessity to stay relevant for today’s businesses. Companies who wish to remain competitive must be able to quickly respond to customer demand and adjust to market changes. Supplying business leaders with real-time information for informed decision-making can be a challenge with information spread among disparate systems.

Are These the 6 Best Reverse ETL Vendors for 2021?

The amount of big data that enterprises churn out is simply staggering. All this information is worthless unless organizations unlock its true value for analytics. This is where ETL proves useful. Traditional ETL (extract, transform, and load) remains the most popular method for moving data from point A to point Z. It takes disparate data sets from multiple sources, transforming that data to the correct format and loading it into a final destination like a data warehouse.