🏢 Data lakes emerged as a solution for managing big data at high volumes and faster pace.
💡 Data warehouses were designed to collect and consolidate structured data for business intelligence and analytics.
💰 Data lakes provide a more cost-effective solution for storing and analyzing semi-structured and unstructured data.
💡 Data warehouses were no longer suitable for handling the increasing volume, velocity, and variety of digital data.
💡 Data Lakes emerged as a solution, allowing the storage of structured, semi-structured, and unstructured data from various sources.
💡 However, Data Lakes lack features such as transactional support and data quality enforcement, raising concerns about the reliability of the stored data.
🔑 Data lakes face challenges with performance, timeliness, and governance due to large volume and unstructured nature of data.
🌊 Businesses use complex technology stack environments, including data lakes, data warehouses, and specialized systems, which introduce complexity and delay.
💡 Successful AI implementation and actionable outcomes are hindered by the difficulties in managing data and oversight in disjointed systems.
📊 Only 32 percent of companies reported measurable value from data.
💡 Data teams needed systems to support data applications including SQL analytics, real-time analysis, data science, and machine learning.
🏠 The data lake house combines the benefits of a data lake with the analytical power and controls of a data warehouse.
🔑 Data lakehouses offer key features like transaction support, schema enforcement, data governance, and decoupled storage.
🌊 Open storage formats like Apache Parquet enable efficient access to diverse data types in a data lakehouse.
🔍 Data lakehouses support diverse workloads, including data science, machine learning, and SQL analytics.
💡 Data lakehouse replaces the need for a separate system for real-time data applications.
🏢 Data analysts, engineers, and scientists can all work in a single location with the lakehouse.
🌊 The lakehouse combines the benefits of a data warehouse with the flexibility of a data lake.
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