spark: [noun] a small particle of a burning substance thrown out by a body in combustion or remaining when combustion is nearly completed.

Synonyms for SPARK: scintillate, sparkle, activate, actuate, crank (up), drive, move, run; Antonyms for SPARK: cut, cut out, deactivate, kill, shut off, turn off

Spark definition, an ignited or fiery particle such as is thrown off by burning wood or produced by one hard body striking against another. See more.

Define spark. spark synonyms, spark pronunciation, spark translation, English dictionary definition of spark. n. 1. An incandescent particle, especially: a. One thrown off from a burning substance. b. One resulting from friction. c. One remaining in an otherwise...

spark definition: 1. a very small piece of fire that flies out from something that is burning, or one that is made by…. Learn more.

Find 39 ways to say SPARK, along with antonyms, related words, and example sentences at Thesaurus.com, the world's most trusted free thesaurus.

Apache Spark is an open-source, distributed processing system used for big data workloads. It utilizes in-memory caching, and optimized query execution for fast analytic queries against data of any size. It provides development APIs in Java, Scala, Python and R, and supports code reuse across multiple workloads—batch processing, interactive ...

Spark schema is the structure of the DataFrame or Dataset, we can define it using StructType class which is a collection of StructField that define the column name (String), column type (DataType), nullable column (Boolean) and metadata (MetaData) For the rest of the article I’ve explained by using Scala example, a similar method could be ...

What is SparkSession. SparkSession introduced in version Spark 2.0, It is an entry point to underlying Spark functionality in order to programmatically create Spark RDD, DataFrame and DataSet. SparkSession’s object spark is default available in spark-shell and it can be created programmatically using SparkSession builder pattern.

Functions. Spark SQL provides two function features to meet a wide range of user needs: built-in functions and user-defined functions (UDFs). Built-in functions are commonly used routines that Spark SQL predefines and a complete list of the functions can be found in the Built-in Functions API document. UDFs allow users to define their own functions when the system’s built-in functions are ...