How to Choose Correct Compression Encode in Redshift?

Data is a key aspect of any company's decision making process. It helps organizations to make smart decision using trends such as purchase, growth area and other high-level functionalities. Organizations grow by making smart decisions so does data. As a typical company’s size of data has grown exponentially, it’s become even more critical to optimize data storage. The size of data not only affects storage and cost, it also affects the performance of your query. The typical query performance is always directly proportional to the size of data because smaller…

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Snowflake Load Local CSV File using COPY and Example

Many organizations use flat files such as CSV or TSV files to offload large tables. Managing flat files such as CSV is easy and it can be transported by any electronic medium. In this article, we will check how to load or import local CSV file into Snowflake using COPY command with some examples. Load Local CSV File using Snowflake COPY Command There are a couple of methods that you can use to load a csv file present in your local system. Following are the methods. Use SnowSQL command Line…

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Amazon Redshift Load CSV File using COPY and Example

Many organizations use flat files such as CSV or TSV files to offload tables, managing flat files is easy and can be transported by any electronic medium. In this article, we will check how to load or import CSV file into Amazon Redshift using COPY command with some examples. Page Content Introduction Preparing for Redshift Load CSV Load CSV File using Redshift COPY Command Redshift COPY command with Column Names Redshift COPY command to ignore First Line from CSV Redshift COPY Command with Custom Delimiter Best Practices for Loading CSV…

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Greenplum Unloading Data Examples

Greenplum can supports unloading large amounts of data. It also supports single file, non-parallel export for small amounts of data. Greenplum unloading data is supported by various methods such as COPY TO command and create writable external tables. In this post you will learn how to unload data from Greenplum Database using parallel unload (writable external tables) and non-parallel unload (COPY) Read: Greenplum Data Loading Options How to Export Vertica Query Results into CSV? Create Writable External Tables Greenplum writable external table uses the Greenplum distributed file server, gpfdist to create file…

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Greenplum Data Loading Options

Being a MPP server, Greenplum supports parallel data loading for large amounts of data. It also supports single file, non-parallel import for small amounts of data. Greenplum data loading is supported by various methods as follows. Read: Greenplum Architecture Data Loading Options Greenplum supports following tools for loading 1. Greenplum data Loading with gpload Command The gpload Greenplum data loading utility is an interface to external table parallel loading feature. gpload uses a load specification or layout defined in a YAML formatted control file to load data into the target table…

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