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As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines
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- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
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- Airbyte Cloud: Have it hosted by us, with all the security you need (SOC2, ISO, GDPR, HIPAA Conduit).
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FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
Dremio is a data-as-a-service platform that enables businesses to access and analyze their data faster and more efficiently. It provides a self-service data platform that connects to various data sources, including cloud storage, databases, and data lakes, and allows users to query and analyze data using familiar tools like SQL and BI tools. Dremio's unique approach to data processing, called Data Reflections, accelerates query performance by automatically creating optimized copies of data in memory. This allows users to get insights from their data in real-time, without the need for complex data pipelines or data warehousing. Dremio also provides enterprise-grade security and governance features to ensure data privacy and compliance.
TiDB is a distributed SQL database that is designed to handle large-scale online transaction processing (OLTP) and online analytical processing (OLAP) workloads. It is an open-source, cloud-native database that is built to be highly available, scalable, and fault-tolerant. TiDB uses a distributed architecture that allows it to scale horizontally across multiple nodes, while also providing strong consistency guarantees. It supports SQL and offers compatibility with MySQL, which makes it easy for developers to migrate their existing applications to TiDB. TiDB is used by companies such as Didi Chuxing, Mobike, and Meituan-Dianping to power their mission-critical applications.
Dremio's API provides access to a wide range of data types, including:
1. Structured data: This includes data that is organized into tables with defined columns and rows, such as data from relational databases.
2. Semi-structured data: This includes data that has some structure, but is not organized into tables, such as JSON or XML data.
3. Unstructured data: This includes data that has no predefined structure, such as text documents, images, and videos.
4. Big data: This includes large volumes of data that cannot be processed using traditional data processing tools, such as Hadoop and Spark.
5. Streaming data: This includes real-time data that is generated continuously, such as data from IoT devices or social media feeds.
6. Cloud data: This includes data that is stored in cloud-based services, such as Amazon S3 or Microsoft Azure.
Overall, Dremio's API provides access to a wide range of data types, making it a powerful tool for data integration and analysis.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
