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10 of the most common pricing models and how they work

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Data integration: different techniques, tools and solutions

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Supply chain analytics examples – 18 modern use cases

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Logistics analytics: driving operational efficiency in the supply chain

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Snowflake cost monitoring: how to avoid skyrocketing bills?

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ETL vs ELT: what's the difference and when to use them?

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Snowflake Arctic: a groundbreaking release with unprecedented advantages for enterprise AI

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Data access control in Snowflake: key principles and best practices

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Migrating data to Snowflake – best practices

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The ultimate data glossary: 110 must-know terms

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What is Snowflake Snowpark and what does it bring to a modern data platform?

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How to build an actionable data strategy?

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Data governance strategy: building a framework for data-driven success

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Data monetization: turn your data into revenue streams

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The role of AI in data science in 2024

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Data science explained

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How to pick a data analytics consultancy? Practical tips

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Top Business Intelligence tools – free 2024 comparison

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The data stack you’ll need to build a versatile modern data platform in 2024

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Camunda 7 vs Camunda 8 - key differences and considerations before migration

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Business Intelligence vs Business Analytics: the differences you need to know

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Snowflake Data Cloud: what is it, how much does it cost and how to get started?

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Agile health metrics: how to know when your project is doomed?

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Proof of Concept (PoC) in software development and what’s after

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What is hyper-personalization and why you need to start implementing it NOW

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Cloud & DevOps

CEO Corner

The data stack you’ll need to build a versatile modern data platform in 2024

Discover the essential components of the modern data stack for building a robust data platform in 2024. Stay ahead in data management.
Data

Snowflake Data Cloud: what is it, how much does it cost and how to get started?

Explore the Snowflake Data Cloud: its features, pricing, and steps to get started. Unlock the power of modern data warehousing.
Cloud & DevOps

IAM best practices – the complete guide to AWS infrastructure security

Explore essential IAM best practices for robust AWS infrastructure security. Elevate your cloud security with expert insights.
Cloud & DevOps

What is data ingestion and why does it matter?

Explore the importance of data ingestion and its significance in the digital age. Harness data effectively for informed decisions.
Cloud & DevOps

Snowflake vs Redshift: key differences and use case scenarios

Explore the differences between Snowflake and Redshift. Find the right data warehousing solution for your specific use cases.
CTO Corner

Introduction to Data Lakes – how to deploy them in the cloud?

Get started with data lakes in the cloud. Learn deployment strategies and harness the power of data for your organization.
Cloud & DevOps

Introduction to AWS infrastructure security

Explore the fundamentals of AWS infrastructure security. Safeguard your cloud resources with expert insights and best practices.
CTO Corner

Introduction to data warehouses: use cases, design and more

Discover the benefits and use cases of data warehouses in this comprehensive introduction. Unlock data-driven insights for success.
Cloud & DevOps

Data Lake vs Data Warehouse vs Data Mart: difference between cloud storage solutions

Explore the key differences between Data Lakes, Data Warehouses, and Data Marts, understand the unique features, uses, and benefits of each cloud storage solution.
Cloud & DevOps

The data cloud explained: the “what”, the “how”, the “why”

Unveil how Data Cloud platforms revolutionize data integration, analysis, and security for enhanced business decision-making and scalability.
Cloud & DevOps

How FinOps is revolutionizing cloud cost optimization

Explore how FinOps aligns cloud operations with financial goals. Learn actionable strategies for cloud cost optimization, efficiency, and control.
CTO Corner

What is SRE? – Understanding Site Reliability Engineering

Striving for optimal system reliability? Discover SRE, a discipline that merges software and systems engineering for efficient large-scale system management.