Credentials
Stored encrypted and decrypted only while a job is running. Use an IAM user scoped to the bucket below.
Temporary credentials
Leave empty for a long-lived IAM user key.
Location
Where browsing starts. Leave it empty to start at the top of the bucket. Saved work addresses objects by their full path, so this is a starting point rather than a restriction.
Convert ORC to MySQL
Convert your Apache ORC data to MySQL quickly
Connectors
Read straight from the systems your data already lives in, instead of uploading a file.
Apache ORC
Apache ORC (Optimized Row Columnar) is a self-describing, columnar file format that supports high compression ratios and fast data retrieval. ORC supports complex types, including structs, lists, maps, and unions. ORC files are divided into blocks of data (stripes) containing statistics (such as min, max, sum, and count) and lightweight indexing which can be used to skip over irrelevant data during queries. ORC also supports predicate pushdown, meaning that filters can be applied as the data is read from disk, reducing the amount of data loaded into memory and processed. Due to its high performance in terms of compression and speed of access, ORC is particularly well-suited for heavy read operations and is commonly used in data warehousing and analytics applications.
MySQL
MySQL is one of the most popular and widely used open-source, relational database management system (RDBMS) in use today. It uses Structured Query Language (SQL) to define, manage, and query data. It can be used to power both small and large businesses including simple Wordpress content sites, Magento e-commerce stores, and Facebook’s social media website.