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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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How to Setup Hadoop Cluster Top Ideas

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Hadoop cluster setup in Centos Operating System explained in this post. So you can install CentOs either in your Laptop or in Virtual Machine. Hadoop Cluster Setup Process 9 Steps Process to Setup Hadoop Cluster Step 1:  Installing Sun Java on Linux. Commands to execute for the same: sudo apt-add-repository ppa:flexiondotorg/java sudo apt-get update sudo apt-get install sun-java6-jre sun-java6-plugin sudo update-java-alternatives -s java-6-sun Step 2:  Create Hadoop User. Commands to execute for the same: $sudo addgroup hadoop $sudo adduser —ingroup hadoop hduser Step 3:  Install SSH Server if not already present. Commands are: $ sudo apt-get install openssh-server $ su - hduser $ ssh-keygen -t rsa -P "" $ cat $HOME/.ssh/id_rsa.pub >> $HOME/.ssh/authorized_keys Step 4:  Installing Hadoop. Commands for the same are: $wget http://www.eng.lsu.edu/mirrors/apache/hadoop/core/hadoop-0.22.0/hadoop-0.22.0.tar.gz $ cd /home/hduser $ tar xzf ...
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