Data Ingestion in Hadoop: Using Apache Flume and Apache Sqoop
Introduction In the Hadoop ecosystem, data ingestion is the process of collecting data from multiple sources and loading it into HDFS (Hadoop Distributed File System) for processing and analysis. Two popular tools used for ingestion are Apache Flume and Apache Sqoop . Flume is designed for streaming data (like logs), while Sqoop is built for structured data (like relational databases). What Is Data Ingestion? Data ingestion refers to the process of transporting data from various sources into a data lake, database, or data warehouse. In the case of Hadoop, ingestion means moving the data into HDFS . There are generally two types of data ingestion: Batch ingestion – Data is moved at scheduled intervals (e.g., every hour or day). Real-time ingestion – Data is continuously streamed and updated as it arrives. Tools for Data Ingestion in Hadoop Tool Type of Data Data Flow Ideal...