What are Data Products: Unlock the Power of Your Data
Data is everywhere. We generate and consume data every day by browsing the web, using social media, shopping online, streaming videos, and more.
Data is everywhere. We generate and consume data every day by browsing the web, using social media, shopping online, streaming videos, and more.
Azure Synapse Analytics, formerly known as Azure SQL Data Warehouse, has emerged as a powerful and integrated analytics service within the Microsoft Azure ecosystem. This comprehensive guide aims to demystify Azure Synapse Analytics, providing an in-depth understanding of its features, capabilities, and how it can empower organizations to harness the full potential of their data.
Dive into the future and embrace the tech wave of Data Observability, AI-powered finance, and next-generation analytics. Learn how these innovations can transform your business and unlock new possibilities.
Data plays a pivotal role in decision-making. Knowing the antecedents of data requires you to keep data well-conditioned. Data further helps reg-tech in ensuring organizations meet BCBS239, SOX, GDPR, and other guidelines.
Non-Traditional Use Cases of Azure Data Factory In the dynamic landscape of data management, Azure Data Factory (ADF) stands as a powerful tool. ADF is employed for orchestrating and automating data workflows.
In it’s simplest form, Data democratization is the process of enabling easy, scalable data access to more users regardless of their role. It is designed to eliminate complicated frameworks and bottlenecks in the data access pipeline by widening the range of stakeholders who use data to enhance their day-to-day work.
The rise of global cybercrime damages, predicted to reach $10.5 trillion annually by 2025 and the prevalence of financial identity theft, which affects over 47% of people in the U.S.
We are seeing explosive growth in the use of AI/ML in literally every digital touchpoint. Why would the coding be left behind? GitHub Copilot, an AI-powered code assistant developed by OpenAI,
Data Monetization and modernization are key drives for global data-led transformation journeys in enterprises. 72% of top global Chief Data Officers (CDOs), Chief Analytics Officers, and other high-level data and analytics leaders from across the industries are leading or heavily involved in digital transformation initiatives.
With the increasing need to create customer-centric data and protect the customer’s privacy, the organization needs an effective solution that helps to set up a secure data-sharing platform which is possible through the data clean room.