Council Post: Demystifying Your Data-The Power of Data Lineage in Solving Enterprise Challenges

Data lineage refers to the process of tracking the origin, movement, and transformation of data throughout its lifecycle within an organization.
In the digital age, data is more than just information; it's the backbone of decision-making across all business sectors. However, as data volumes grow and data environments become more complex, the clarity of data’s origins and transformations—its lineage—is increasingly crucial. Data lineage is the process of understanding and visualizing the lifecycle of data as it travels from source to destination, through various transformations. This article examines the importance of data lineage in ensuring data integrity, aiding compliance, and enhancing organizational operations. The Concept of Data Lineage Data lineage refers to the process of tracking the origin, movement, and transformation of data throughout its lifecycle within an organization. This practice involves creating a
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Picture of Anil Prasad
Anil Prasad
Anil Prasad, Head of Engineering - software products, data and ML at Ambry Genetics is a seasoned leader with a passion for customer-centric innovation, extensive experience in software product development, engineering, and leadership. Renowned for driving enterprise transformation initiatives, he has consistently demonstrated a commitment to building high-performing teams, excelling in mentoring, and retaining top talent. His career spans impactful roles in Fortune 100 companies across technology, fintech, healthcare, medical devices, insurance, energy, utilities, global consulting, and centers of excellence and has also been a pivotal force in small business segments, adeptly shaping strategies, roadmaps, and execution plans. Currently, Anil is pursuing a PhD in Computer Science and Electrical Engineering with a focus on Artificial Intelligence and Machine Learning research.
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