#spark sql

https://www.edureka.co/blog/spark-sql-tutorial/

^spark sql basics; currently has an annoying popup

https://www.projectpro.io/article/spark-sql-for-relational-big-data-processing/355

^spark sql in the broader context of big data

https://data-flair.training/blogs/spark-sql-tutorial/

^beginners guide; part of a broader range of spark tutorials

https://spark.apache.org/docs/2.3.0/sql-programming-guide.html

^official source! has a lot of info about dataframes, datasets, and data sources

https://www.tutorialspoint.com/spark_sql/spark_sql_dataframes.htm

^specifically about dataframes

https://blog.taboola.com/spark-sql-score/

^this is about Schema on Read

https://medium.com/@subashsivaji/types-of-apache-spark-tables-and-views-f468e2e53af2

Kafka And Spark Streams: The happily ever after !!

Hi everyone, Today we are going to understand a bit about using the spark streaming to transform and transport data between Kafka topics.

The demand for stream processing is increasing every day. The reason is that often, processing big volumes of data is not enough. We need real-time processing of data especially when we need to handle continuously increasing volumes of data and also need to…

Partition-Aware Data Loading in Spark SQL

Data loading, in Spark SQL, means loading data in memory/cache of Spark worker nodes. For which we use to write following code:

val connectionProperties = new Properties() connectionProperties.put("user", "username") connectionProperties.put("password", "password") val jdbcDF = spark.read .jdbc("jdbc:postgresql:dbserver", "schema.table", connectionProperties)

In here we are using jdbc function of

Looker Expands with Presto & Spark SQL Support

Looker, announced support for Presto and Spark SQL as well as updates to its support for Impala and Hive. Looker allows enterprises to describe, define and analyze the data where it lives,

Looker Expands with Presto & Spark SQL Support

Looker, announced support for Presto and Spark SQL as well as updates to its support for Impala and Hive. Looker allows enterprises to describe, define and analyze the data where it lives,

Looker Expands with Presto & Spark SQL Support

Looker, announced support for Presto and Spark SQL as well as updates to its support for Impala and Hive. Looker allows enterprises to describe, define and analyze the data where it lives,

Looker Expands with Presto & Spark SQL Support

Looker, announced support for Presto and Spark SQL as well as updates to its support for Impala and Hive. Looker allows enterprises to describe, define and analyze the data where it lives,