Systems | Development | Analytics | API | Testing

Data Warehouses

Microsoft Azure vs Amazon Redshift

When choosing any SaaS application, you must start with a clear understanding of your business requirements. Then ask yourself the following questions: Develop a framework for data processing requirements, and you'll find a data warehouse solution that provides the right amount of power, functionality, and high performance for data analytics. Keep the answers to these questions in mind when reading through this article.

Taking a Closer Look at Snowflake Software

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.

Create your Private Data Warehousing Environment Using Azure Kubernetes Service

For Cloudera ensuring data security is critical because we have large customers in highly regulated industries like financial services and healthcare, where security is paramount. Also, for other industries like retail, telecom or public sector that deal with large amounts of customer data and operate multi-tenant environments, sometimes with end users who are outside of their company, securing all the data may be a very time intensive process.

5 Tips for Pushing Data from Your Warehouse to PeopleSoft

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.

5 Tips: Pushing Data from a Warehouse to HubSpot

HubSpot is a customer relationship management (CRM) platform that helps you capture all of your interactions with customers and potential customers, from their first call or website visitors to their most recent purchase. With tens of thousands of users around the world, HubSpot currently owns an estimated 30 percent of the global CRM market share.

What are the Best ETL tools for Redshift?

So you want to move data to Amazon Redshift? You're not the only one. Every day, thousands of organizations worldwide migrate data to Redshift, which Amazon claims is the world's fastest cloud data warehouse. These organizations have one mission: To move data to Redshift so they can generate business intelligence (BI) from the latest metrics. Amazon's data warehouse makes it easy to produce metrics that power data-driven organizations like yours.

How to Generate a Redshift API

In the business world today, data is becoming increasingly more important with each passing year. If your company is not taking the time to learn how to store, analyze and scale data properly now, it could prove detrimental to the business in the long run. However, just as bad data practices can hold your company back, good data practices can propel the company forward. APIs are one tool that any business can use to begin better utilizing their data today.

How to migrate a data warehouse to BigQuery

Has your data team outgrown its on-premise traditional data warehouse? Are you looking for a system to store data that is secure, scalable, and cost effective? In this episode of Architecting with Google Cloud, Priyanka Vergadia speaks with Gary Morreale, the Director of Data Services from Independence Blue Cross about how his team migrated from Terradata to Bigquery on Google Cloud Platform. Listen as Gary Morreale discusses his team’s giant undertaking on migrating dataware to BigQuery.