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14 Top Data Pipeline Key Terms Explained

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 Here are some key terms commonly used in data pipelines 1. Data Sources Definition: Points where data originates (e.g., databases, APIs, files, IoT devices). Examples: Relational databases (PostgreSQL, MySQL), APIs, cloud storage (S3), streaming data (Kafka), and on-premise systems. 2. Data Ingestion Definition: The process of importing or collecting raw data from various sources into a system for processing or storage. Methods: Batch ingestion, real-time/streaming ingestion. 3. Data Transformation Definition: Modifying, cleaning, or enriching data to make it usable for analysis or storage. Examples: Data cleaning (removing duplicates, fixing missing values). Data enrichment (joining with other data sources). ETL (Extract, Transform, Load). ELT (Extract, Load, Transform). 4. Data Storage Definition: Locations where data is stored after ingestion and transformation. Types: Data Lakes: Store raw, unstructured, or semi-structured data (e.g., S3, Azure Data Lake). Data Warehous...
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Sqoop Real Use in Hadoop Framework

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Why Sqoop you need while working on Hadoop-The Sqoop and its primary reason is to import data from structural data sources such as Oracle/DB2 into HDFS(also called Hadoop file system). To our readers, I have collected a good video from Edureka which helps you to understand the functionality of Sqoop. The comparison between Sqoop and Flume How name come for Sqoop Sqoop word came from SQL+HADOOP=SQOOP. And Sqoop is a data transfer tool. The main use of Sqoop is to import and export a large amount of data from RDBMS to HDFS and vice versa. List of basic Sqoop commands Codegen- It helps to generate code to interact with database records. Create-hive-table- It helps to Import a table definition into a hive Eval- It helps to evaluate SQL statement and display the results Export-It helps to export an HDFS directory into a database table Help- It helps to list the available commands Import- It helps to import a table from a database to HDFS Import-all-ta...
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5 Top features of Sqoop in the age of Big data

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The ‘Sqoop’ is a command-line user interface program for conveying information amid relational databases and Hadoop. The SQOOP It aids increasing stacks of a sole table either a gratis shape SQL request as well like preserved appointments that may be run numerous periods to ingress upgrades produced to a database ever since the final ingress. Imports may as well be applied to inhabit boards in Apache Hive|Hive either HBase.  Exports may be applied to put information as of Hadoop into a relational database. Apache Foundation Sqoop grew to be a top-level Apache Software Foundation, Apache program in March 2012. Microsoft utilizes a Sqoop-based connector to aid transference information as of Microsoft SQL Server databases to Hadoop. Couchbase, Inc. As well delivers a Couchbase Server-Hadoop connector by intents of Sqoop.
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