What Is Apache Spark? | Use-case скачать в хорошем качестве

What Is Apache Spark? | Use-case

Apache Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Java, Scala, Python, and R, and an optimized engine that supports general execution graphs. It also supports SQL, streaming, machine learning, and graph processing. Key features of Spark: Speed: Spark is up to 100 times faster than Hadoop MapReduce in memory, or 10 times faster on disk. General execution graph: Spark can execute a wide range of data processing operations, including SQL queries, streaming data analysis, machine learning algorithms, and graph processing. Ease of use: Spark provides high-level APIs that are easy to learn and use. pyspark tutorials videos below link:    • user define function (udf) in pyspark      • Rank () & Dense_ Rank () in Pyspark      • Join() function in PySpark | Databrick      • Filter() in PySpark | Azure Data bricks      • Pyspark coding interview questions and ans...      • Pyspark coding questions & answers -22,23,...      • Pyspark interview questions and answers-1,...      • StructType and StructFields. in pyspark      • Select Transformation with Practical Examples      • Data Transformation with Databricks: A Ste...      • Databricks Architecture Deep Dive: Control...      • What Are the Benefits of Using Data bricks?   #dataengineering #datascience #machinelearning #bigdata #dataanalytics #artificialintelligence #data #bigdataanalytics #sql #dataanalysis #bigdataanalysis #programming #dataengineer #database #deeplearning #ai #coding #analytics #fintech #bigdataexperts #bigdataacademicprojects #contactus #datamanagement #datavisualization #sqlserver #datamining #businessintelligence #cloudcomputing #python #technology To learn more about Spark, subscribe to our YouTube channel:    / @ineedtech09