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Heroku leverages the open-source technology of PostgreSQL to deliver a powerful and reliable database-as-a-service solution. Heroku Postgres acts as both a source and destination for data integration. With native support for a variety of programming languages and features that ensure security and compliance, it is a top resource for many companies. What do you need to know about Heroku, and what tools should you use to perform ETL (extract, transform and load) and ELT (extract, load and transform)?

Redshift has had the highest market share of any RDBMS (Relational Database Management System) solution for a number of years. Companies around the world use it to store and mine deeper insights from data. What is Redshift exactly, and what are the benefits that have given it the top ranking for companies around the world?

Imagine synchronizing every piece of customer data from across your organization into a single integrated platform. You could generate a panoramic view of consumer activities and develop an understanding of what your customers really want. Customer 360 helps you do all of that. It's the practice of integrating customer data from multiple sources so you can deliver better experiences for every person who engages with your organization. Below, learn about customer 360, how it works, and its benefits.

Choosing the right ETL solution for your business is essential, but how do your compare each option? Learn how to compare each potential ETL provider and discover what attributes and features stand out from one another and how that can benefit certain business endeavors.

It's a week after Black Friday, and the results are in! While online spending didn't break a new record this year, it still totaled a massive $8.9 billion, making Black Friday one of the biggest sales days ever for digital merchants. Online sales were even healthier on Cyber Monday, totaling $10.7 billion. But how did paid marketing contribute to all those holiday shopping season sales? Some e-commerce retailers struggle to measure the effectiveness of their paid campaigns.

ETL (extract, transform, load) is the backbone of modern data integration, efficiently migrating massive quantities of information into a data warehouse like Snowflake. But with so many Snowflake ETL tools on the market these days, how can you choose the best for migrating your data? Below we’ll discuss our favorite Snowflake ETL tools, including their pros, cons, and user reviews so that you can make the choice that’s right for your situation.

As the amount of big data generated every year grows exponentially, successful enterprises have ditched on-premise solutions for the cloud. Nowhere is this more apparent than in the world of big data analytics, where virtual environments offer more scope and scalability than in-house architecture. Data-driven companies crave cloud databases because of the copious amount of data they collect, process, share and analyze every single day.

IT automation is an essential business best practice that has enabled countless organizations to become more efficient. According to a survey by Salesforce, 95 percent of executives and directors see the value of automation, and 88 percent want to pursue automation as a key investment for their business. This general tenet holds for the specific case of API automation as well. APIs are a highly underrated, yet critical, technology that underpins the modern digital ecosystem.

PeopleSoft is an enterprise resource planning (ERP) software platform that is intended for medium-sized to large businesses. Originally designed for human resources and finance applications, PeopleSoft can now help organizations with tasks such as human capital management (HCM), financial management, supply chain management, and enterprise service automation.

Mulesoft is an all-inclusive data and application integration platform owned by Salesforce. It offers many types of functionality, including Extract, Transform, Load (ETL), API management, and Integration Platform as a Service (IPaaS). Mulesoft may offer a broad range of capabilities, but it has a challenging learning curve, a high price point, and may be far more than what your organization needs for data transformation.