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Data contracts and schema enforcement with dbt

Xebia

As data projects and teams grow in complexity and volume, maintaining data integrity becomes increasingly challenging. This is where data contracts come into play, providing the tools for ensuring data quality and consistency. Now, let’s say the marketing team relies on this customer data to run targeted campaigns.

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Seeking Sustainable IT? Use Data Virtualization

TIBCO - Connected Intelligence

To guide your journey, ask yourself three questions: What are our best sustainable IT improvement opportunities? Opportunity 1: Stop copying so much data. In its annual Worldwide Global Datasphere Forecast, 2019-2023, IDC projected that only 15% of annual data growth is actually net new data. Reading Time: 4 minutes.

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Perficient Healthy Lakehouse Accelerates Time and Cost to Value

Perficient

In part 1 of our blog series , we talked about driving ROI in healthcare with data analytics modernization. In this blog, we will discuss accelerating time and money to value with the Perficient Healthy Lakehouse. We’ve also learned a bit about what can be done to reduce the lift involved.

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A Case Study on Building Modern Analytics Architectures That Scale

Datavail

As data volumes continue to grow, the systems and architectures need to evolve. Without accessible data, decision makers can miss major opportunities to identify opportunities, build customer satisfaction, and get ahead of the competition. Most likely, your company has shifted their approach to data and analytics.

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Data Integration on Oracle Cloud Infrastructure

Apps Associates

This blog introduces you to Oracle Cloud Infrastructure (OCI) Data Integration service and reviews how to setup Data Integration workspace in OCI. I love Data Integration in OCI and hope to get you excited about this great product as well. Data immersive user experience to boost productivity. OCI Data Integration.

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Unlock business value by modernizing your data infrastructure

Capgemini

Retailers have long been hampered by their data infrastructures, first by structural limitations inherent in data warehouses and then the expense and lack of agility of newer big-data systems. In part one of this blog, I examine the cost of legacy systems and introduce an answer to th at problem. .

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Why Companies Are Moving Their Analytics to AWS Cloud

Datavail

Increased scalability and flexibility: As you accumulate more and more data, scalability becomes an increasingly important concern for analytics, especially to handle rapid usage spikes. Data backup and business continuity: Tools like AWS Backup help you get your business back up and running more quickly in the wake of a disaster.

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