Apache Druid

The roadmap for becoming a Data Engineer 

The roadmap for becoming a Data Engineer 

Bigdata Hadoop, , , , , , , , ,
The roadmap for becoming a Data Engineer typically involves mastering various skills and technologies. Here's a step-by-step guide:Step 1: Learn the FundamentalsProgramming Languages: Start with proficiency in languages like Python, SQL, and possibly Scala or Java.Database Knowledge: Understand different database systems (SQL and NoSQL) and their use cases.Data Structures and Algorithms: Gain a solid understanding of fundamental data structures and algorithms.Mathematics and Statistics: Familiarize yourself with concepts like probability, statistics, and linear algebra.Step 2: Acquire Big Data TechnologiesApache Hadoop: Learn the Hadoop ecosystem tools like HDFS, MapReduce, Hive, and Pig for distributed data processing.Apache Spark: Master Spark for data processing,…
Read More
Installing Apache Druid on the Local Machine

Installing Apache Druid on the Local Machine

Bigdata Hadoop, , , , ,
Apache Druid is a real-time analytics database designed for fast slice-and-dice analytics ("OLAP" queries) on large data sets. Most often, Druid powers use cases where real-time ingestion, fast query performance, and high uptime are important.Druid is commonly used as the database backend for GUIs of analytical applications, or for highly-concurrent APIs that need fast aggregations. Druid works best with event-oriented data.Common application areas for Druid include:Clickstream analytics including web and mobile analyticsNetwork telemetry analytics including network performance monitoringServer metrics storageSupply chain analytics including manufacturing metricsApplication performance metricsDigital marketing/advertising analyticsBusiness intelligence/OLAP Prerequisites You can follow these steps on a relatively modest…
Read More