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A Detailed Introduction on Data Lakes and Delta Lakes

Analytics Vidhya

Introduction A data lake is a central data repository that allows us to store all of our structured and unstructured data on a large scale. You may run different types of analytics, from dashboards and visualizations to big data processing, real-time analytics, and machine […].

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Data Integrity: The Foundation for Trustworthy AI/ML Outcomes and Confident Business Decisions

ODSC - Open Data Science

But before AI/ML can contribute to enterprise-level transformation, organizations must first address the problems with the integrity of the data driving AI/ML outcomes. The truth is, companies need trusted data, not just big data. That’s why any discussion about AI/ML is also a discussion about data integrity.

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Customers and Banks Priorities Collide as AI Jolts Financial Industry

Smart Data Collective

In a previous article I shared some of the challenges, benefits and trends of Big Data in the telecommunications industry. Big Data’s promise of value in the financial services industry is particularly differentiating. Customer-focused analysis dominates Big Data initiatives. Debt and Income Ratio.

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How is the ‘Mesh’ Resolving Bottlenecks of Data Management

Smart Data Collective

It gained acceptance more than a decade ago when the industry was waking up to the potential urgency of big data that we are witnessing today. The Hadoop library enabled distributed processing across all points of data storage. However, all of these may not be effective in the fast-changing data landscape.

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8 Data Lake Vendors to Make Your Data Life Easier in 2023

ODSC - Open Data Science

Oracle What Oracle offers is a big data service that is a fully managed, automated cloud service that provides enterprise organizations with a cost-effective Hadoop environment. Snowflake Snowflake is a cross-cloud platform that looks to break down data silos.

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Data Lakes Vs. Data Warehouse: Its significance and relevance in the data world

Pickl AI

This centralization streamlines data access, facilitating more efficient analysis and reducing the challenges associated with siloed information. With all data in one place, businesses can break down data silos and gain holistic insights.