Data Warehouse

Data Vault Modeling Methodology Architecture

Based on what you are working and expected results, you have to use different methodologies and best practices. A data warehouse is no different, you have to use different modeling methodologies based on the type of source data and integration. Big data is a hot cake now, everybody wants to move their data to bigdata world. Traditional methods such as Kibmal’s Star schema and Inmon’s relational 3NF may not work. You have to choose a different approach based on your ecosystem and data. In this article, we will check new…

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March 28, 2019
BigData

Hive DELETE FROM Table Alternative– Easy Steps

By definition, Data Warehouse is mechanism to store historical data in an easy accessible manner. Data may be updated to keep tables with up-to date records. This performance critical operation holds good when you plan to migrate your data warehouse to bigdata world. In this article, we will check one of the method to remove outdated records from Hive table i.e. Hive DELETE FROM table Alternative.   Hive DELETE FROM Table Alternative Apache Hive is not designed for online transaction processing and does not offer real-time queries and row level…

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March 27, 2019
Apache Spark

Spark Dataset Join Operators using Pyspark – Examples

Joining two different tables results in different dataset. You can join two different datasets to perform specific task, such as getting common rows. Relational databases like Netezza, Teradata supports different join types. Just like RDBMS, Apache Hive also supports different join types. In this article, we will check Spark Dataset Join Operators using Pyspark and some examples to demonstrate different join types. Before going into Spark SQL dataframe join types, let us check what is join in SQL? “A query that accesses multiple rows of the same or different table…

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March 18, 2019
Apache Spark

Spark SQL Cumulative Average Function and Examples

Spark SQL supports Analytics or window functions. You can use Spark SQL to calculate certain results based on the range of values. Result might be dependent of previous or next row values, in that case you can use cumulative sum or average functions. Databases like Netezza, Teradata, Oracle, even latest version of Apache Hive supports analytic or window functions. In this article, we will check Spark SQL cumulative Average function and how to use it with an example. Spark SQL Cumulative Average Function There are two methods to calculate cumulative…

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March 16, 2019
Apache Spark

Spark SQL Cumulative Sum Function and Examples

Spark SQL supports Analytics or window function. You can use Spark SQL to calculate certain results based on the range of values. Most of the databases like Netezza, Teradata, Oracle, even latest version of Apache Hive supports analytic or window functions. In this article, we will check Spark SQL cumulative sum function and how to use it with an example. Spark SQL Cumulative Sum Function Before going deep into calculating cumulative sum, first, let is check what is running total or cumulative sum? “A running total or cumulative sum refers…

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March 16, 2019
Apache Spark

Spark SQL Analytic Functions and Examples

Spark SQL analytic functions sometimes called as Spark SQL windows function compute an aggregate value that is based on groups of rows. These functions optionally partition among rows based on partition column in the windows spec. Like other analytic functions such as Hive Analytics functions, Netezza analytics functions and Teradata Analytics functions, Spark SQL analytic functions works on groups of rows. These functions optionally ignore NULL values in the data. Spark SQL Analytic Functions There are two types of Spark SQL windows functions: Ranking functions and Analytic functions Related Articles:…

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March 15, 2019
Apache Spark

Running SQL using Spark-SQL Command line Interface-CLI

In my other post, we have seen how to connect to Spark SQL using beeline jdbc connection. You can execute SQL queries in many ways, such as programmatically,  use spark or pyspark shell, beeline jdbc client. Many does not know that spark supports spark-sql command line interface. You can use this to run hive metastore service in local mode. Related Article: Methods to access Hive Tables from Apache Spark Spark SQL Cumulative Sum Function and Examples What is Spark-SQL command line Interface (CLI)? The Spark SQL command line interface or…

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March 13, 2019
BigData

Steps to Import Oracle Tables using Sqoop

Oracle database is one of the largely used database in the world. Most of financial organizations are using Oracle for their transaction processing. As mentioned in my other post import Netezza tables using Apache Sqoop, with growing data organizations are moving their computation part to Hadoop ecosystem. In this post, we will check steps to import Oracle tables using Sqoop commands. Steps to Import Oracle Tables using Sqoop Most of the organizations and people trying to get data into Hadoop ecosystem, they use various options such as creating flat-files and…

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March 12, 2019
BigData

Sqoop Export Hive Tables into Netezza

Hadoop systems are mostly best suited for batch processing. Reporting is not recommended on Hadoop Hive or Impala. Sometimes to enable faster reporting, organizations transfer the processed data from Hadoop ecosystem to high performance relational databases such as Netezza. In this article, we will check Sqoop export Hive tables into Netezza with working examples. Sqoop Export Hive Tables into Netezza In some cases, data processed by Hadoop ecosystem may be needed in production systems hosted on relational databases to help run additional critical business functions and generate reports. The Sqoop can exports…

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March 8, 2019
BigData

How to Import Netezza Tables using Sqoop?

With growing data, organizations are moving computation part to Hadoop ecosystem. Apache Sqoop is an open source tool to import data from relational databases to Hadoop and vice versa. Apache Sqoop is one of the easiest tool to import relational database such as Netezza into Hadoop ecosystem. The Sqoop command allows you to import all tables, single table, execute query and store result in Hadoop HDFS. In this article, we will check how to import Netezza tables using Sqoop with some practical examples. Sqoop uses a connector based architecture which…

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March 7, 2019