SQL on Hadoop – SQL & Hadoop

Columnar Storage & why you must use it

If you are working on Hadoop or any other platform and storing structured data, I am sure you must have heard about columnar storage types. In the past 7-8 years the popularity “columnar” has gained confirms that the buzz is […]

SQL on HadoopBy Raj2 comments

Hadoop & Hive – Introduction for Beginners

Hadoop is a very popular framework for data storage and data processing. So it suffice two main purposes: Distributed Data Storage using HDFS ( Hadoop Distributed File System) Data processing using Map-Reduce. In Hadoop everything is in File format. It […]

SQL on HadoopBy Raj1 comment

SQL on RDBMS to SQL on Hadoop/Cloud

We all have been using SQL on RDBMS for so long now. The time has come when we shall switch to SQL on Hadoop/Cloud. SQL (Structured Query Language) help us in communicating with any RDBMS like Teradata, Oracle, Netezza, SQL […]

SQL on HadoopBy Raj0 comments

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can you please make the video available to learn

Thank you for sharing this. I will give it a try as well.

Might be interesting to add a PySpark dialect to SQLglot https://github.com/tobymao/sqlglot https://github.com/tobymao/sqlglot/tree/main/sqlglot/dialects

try something like df.withColumn("type", when(col("flag1"), lit("type_1")).when(!col("flag1") && (col("flag2") || col("flag3") || col("flag4") || col("flag5")), lit("type2")).otherwise(lit("other")))