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Unleash the Power of DataOps: Streamlining Decision-Making in the Digital Age
Introduction In today’s fast-paced world, data-driven decision-making (DDDM) reigns supreme. However, there are obstacles that hinder even the most talented data scientists, engineers, and analysts from providing effective and efficient data-driven solutions. Weeks are wasted waiting for required data, Infrastructure management becomes a challenge, and tracking changes becomes a nightmare. Enter DataOps, the game-changing solution…
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The Power of Now: Improving Customer Experience with Near Realtime Data Streaming
In today’s fast-paced digital landscape, businesses and organizations need to process and analyze vast amounts of data in near-real-time to stay competitive. This is where near real-time data streaming comes in. Near real-time data streaming involves the continuous processing of data as it’s generated, rather than waiting for the data to be stored in a…
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Data Mesh: A new paradigm for Data Engineering
In today’s data-driven world, organizations are constantly looking for ways to improve their data management processes. The traditional approach of centralizing data in a data lake or data warehouse has proven to be inadequate for large-scale data sharing and collaboration. To address these challenges, a new paradigm has emerged: Data Mesh. What is Data Mesh?…
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Data Observability: Everything you need to know!
Data observability is a watershed moment for all of your future Data Operations, Data Quality frameworks, and Data Governance strategies that are nice to have ideology but are now actionable, thanks to advances in this category. It is crucial to comprehend the wealth and health of the data in your system, and it can manage…
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How modern data stack shifted the data engineering space for the better?
This article is inspired by the shift in the data engineering space over the last few years with the evolution of modern data stack.Modern data stack is the collection of below best-in-class tools that does wonders together. How Data Engineering played out before modern data stack?Traditionally, companies have focused on collecting and visualizing data. Data…