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integrate

Taking a Closer Look at Snowflake Software

Dec 2, 2021 By Donal Tobin In Integrate
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.
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cloudera

Create your Private Data Warehousing Environment Using Azure Kubernetes Service

Dec 2, 2021 By Justin Hayes In Cloudera

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.

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integrate

5 Tips for Pushing Data from Your Warehouse to PeopleSoft

Nov 30, 2021 By Mark Smallcombe In Integrate
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.
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integrate

5 Tips: Pushing Data from a Warehouse to HubSpot

Nov 26, 2021 By Donal Tobin In Integrate
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.
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integrate

What are the Best ETL tools for Redshift?

Nov 25, 2021 By Mark Smallcombe In Integrate
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.
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integrate

How to Generate a Redshift API

Nov 24, 2021 By Donal Tobin In Integrate
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.
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How to migrate a data warehouse to BigQuery

Nov 20, 2021 By Google BigQuery In Google 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.
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keboola

Kimball vs Inmon: Which approach should you choose when designing your data warehouse architecture?

Oct 31, 2021 By Keboola In Keboola
Data warehouses are the central data repository that allows Enterprises to consolidate data, automate data operations, and use the central repository to support all reporting, business intelligence (BI), analytics, and decision-making throughout the enterprise. But designing a data warehouse architecture can be quite challenging.
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