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Driving Success With a Modern Data Architecture and a Hybrid Approach in the Financial Services and Telco Industries

Cloudera

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). However, not all these organizations will be successful in using data to drive business value and increase profits. Is yours among the organizations hoping to cash in big with a big data solution?

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The Future of Retail: Key Challenges and Opportunities

The Modern Data Company

Get to the Future Faster – Modernize Your Manufacturing Data Architecture Without Ripping and Replacing Implementing customer lifetime value as a mission-critical KPI has many challenges. Companies need consistent, high-quality data and a straightforward way to measure CLV.

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AI / ML Survival Guide: Conquer DataOps and Data Composability Challenges and Transform into a Truly Data-Driven Organization

The Modern Data Company

Get to the Future Faster – Modernize Your Manufacturing Data Architecture Without Ripping and Replacing Implementing customer lifetime value as a mission-critical KPI has many challenges. Companies need consistent, high-quality data and a straightforward way to measure CLV.

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AI’s Impact on Data Engineering Careers

Ascend.io

Shifting Up: The New Data Engineering Skill AI tools now effortlessly perform low-level engineering tasks and enable human engineers to focus on more strategic responsibilities. With AI taking care of the operational tasks, data engineers can focus on the bigger picture. Top Skills for Data Leaders 1.

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Top 10 Azure Data Engineer Job Opportunities in 2024 [Career Options]

Knowledge Hut

Azure Data Engineer Career Demands & Benefits Azure has become one of the most powerful platforms in the industry, where Microsoft offers a variety of data services and analytics tools. As a result, organizations are looking to capitalize on cloud-based data solutions.

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The No-Panic Guide to Building a Data Engineering Pipeline That Actually Scales

Monte Carlo

You’re left wondering if there’s a breaking point where your DIY data solution won’t cut it anymore—and honestly, you might be there already. Here’s the thing: every successful startup hits this data-growing pain, and it’s actually a good sign. Once you’ve got the data flowing in, you need somewhere to put it.

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IBM Technology Chooses Cloudera as its Preferred Partner for Addressing Real Time Data Movement Using Kafka

Cloudera

IBM and Cloudera’s common goal is to accelerate data-driven decision making for enterprise customers, working on defining and executing the best solution for each customer. You can now elevate your data potential and activate AI’s capabilities through the synergic integration between IBM watsonx and Cloudera.

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