Delta Lake
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Delta Lake
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Based on our record, Delta Lake seems to be more popular. It has been mentiond 36 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
A common solution is using open table formats like Apache Iceberg(others are Delta lake and Apache Hudi). With these tools you get the benefits of traditional database functionality on your data lake i.e ACID guarantees, transactions. The Iceberg specification defines an open table format that enables accessing related data stored in separate files in a distributed storage system, as one table. - Source: dev.to / 10 months ago
Delta Lake: Delta Lake is an open-source storage layer that provides ACID transactions, scalable metadata management, and data versioning on top of existing data lakes. It aims to bring reliability and performance optimizations to big data workloads while ensuring data integrity and consistency. - Source: dev.to / over 1 year ago
When it comes to stream processing systems, Iceberg support varies across vendors. Databricks, which oversees Spark Streaming, focuses on Delta Lake. Apache Flink, heavily influenced by Alibabaโs contributions, promotes Paimon, an alternative to Iceberg. RisingWave, on the other hand, fully embraces Iceberg. Rather than focusing solely on one table format, RisingWave aims to support various catalog services,... - Source: dev.to / over 1 year ago
Delta Lake is a storage layer framework that provides reliability to data lakes. It addresses the challenges of managing large-scale data in lakehouse architectures, where data is stored in an open format and used for various purposes, like machine learning (ML). Data engineers can build real-time pipelines or ML applications using Delta Lake because it supports both batch and streaming data processing. It also... - Source: dev.to / about 2 years ago
There is a neat example, of how a third party project belonging to the Linux Foundation, is implementing UserDefinedLogicalNodeCore: MetricObserver in delta-rs. The developer had to use only #[derive(Debug, Hash, Eq, PartialEq)] to get dyn_eq and dyn_hash implemented. - Source: dev.to / about 2 years ago
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
Databricks Unified Analytics Platform - One platform for accelerating data-driven innovation across data engineering, data science & business analytics
GeoSpock - GeoSpock is the platform for data lake management, providing a unified view of the data assets within an organization and making it easily accessible.
Azure Synapse Analytics - Get started with Azure SQL Data Warehouse for an enterprise-class SQL Server experience. Cloud data warehouses offer flexibility, scalability, and big data insights.