![]() ![]() The Delta Live Tables helps to signify the data engineering, which is an easy way to build and manage data pipelines for the new, high-quality data on Delta Lake. The Delta Lake is Automated and maintains Trusted Engineering. With the presence of Delta Lake on Databricks, users have access to a vast open source ecosystem and thus avoid data lock-in from the proprietary formats. APIs(Application Programming Interfaces) are open and compatible with Apache Spark. All the data in the Delta Lake is stored in open Apache Parquet format, which allows the data to be read by any compatible reader. Because it’s optimized with performance features like indexing, Delta Lake customers have seen ETL(Extract, Transform, and Load) workloads help execute up to 48% faster. The Delta Lake with the Apache Spark under the hood Delta Lake can deliver massive scale and speed. It also allows the integrations with leading tools and platforms, enabling users to visualize, query, enrich, and govern the shared data from the tools of choice. ![]() The native integration with Unity Catalog allows users to centrally manage and audit the shared data across the organizations, i.e., it will enable users to confidently share data assets with the suppliers and partners for better coordination of business while meeting the security and compliance needs. Delta Sharing is prominently the industry’s first open protocol for secure data sharing, making it simple to share data with other organizations regardless of where the data lives. Key features of Delta Lakeĭelta Lake provides Open and Secure Data Sharing. This recipe explains what Delta Lake is, its uses, and its features. This helps to enable the organization to scale reliable data insights and run the analytics and the other data projects directly on the data lake that is up to 50x faster time-to-insight.īuild a Real-Time Dashboard with Spark, Grafana and Influxdb Delta Lake provides the reliability that the traditional data lakes lack. Data Lake supports ACID(atomicity, consistency, isolation, durability) transactions and schema enforcement. Data Lake delivers the reliable single source of the truth for all of the data, including the real-time streams, so the data teams are constantly working with the most current data. So, by replacing the data silos with the single home for structured, semi-structured, and unstructured data, Delta Lake is also the foundation of a cost-effective and highly scalable lakehouse. Delta Lake is defined as the open format storage layer that delivers reliability, security, and performance on the data lake for both streaming and batch operations. ![]()
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