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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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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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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Sqoop import Relational Database Table into HBase Table

Apache Sqoop can be used to transform relational database table into HBase tables. You have to follow some process to import relational database or data warehouse tables into HBase schema. In this article, we will check on Sqoop import relational database table into HBase table and some working examples for the same. Sqoop import Relational Database Table into HBase Table You cannot directly import entire data warehouse or relational database tables into HBase. HBase is column oriented and the schema design is way different for HBase tables compared to Hive…

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Sqoop Command with Secure Password

Sqoop commands allows you to exchange the data between Hadoop and relational databases such as Netezza, Oracle etc. Sqoop required the password to connect to various databases and of course it has to be secured. In this article, we will discuss on various ways to execute the Sqoop Command with Secure Password. Read: Sqoop import Relational Database Table into HBase Table Import data using Sqoop Export data using Sqoop Sqoop Architecture – Mappers with No Reducers Sqoop Command with Secure Password Below are the some of the methods that we can…

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Hadoop HDFS Schema Design for ETL Process

Now a day’s many organisations are using Hadoop for their ETL processing. In this post we will learn Hadoop HDFS Schema Design for ETL Process. In this section, you will learn about good schema design for data that you store in Hadoop HDFS directly. Hadoop HDFS Schema Design Overview Many organisation uses Hadoop for storing and processing unstructured, semi-structured or structured data. Hadoop is schema-on-read model that does not impose any requirements when loading data into Hadoop ecosystem. You can simply ingest data into Hadoop HDFS by using available ingestion…

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Hadoop Data Warehouse and Design Considerations

A data warehouse, also known as an enterprise data warehouse (EDW), is a large collective store of data that is used to make such data-driven decisions, thereby becoming one of the centrepiece of an organization’s data infrastructure. Hadoop Data Warehouse was challenge in initial days when Hadoop was evolving but now with lots of improvement, it is very easy to develop Hadoop data warehouse Architecture. This article will server as a guide to Hadoop data warehouse system design. Hadoop data warehouse integration is now a days become very much popular…

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Migrating Netezza to Impala SQL Best Practices

Now a days everybody wants to migrate to Hadoop environment for their analytics that includes real-time or near real-time. In this post i will explain some best practices in Migrating Netezza to Impala SQL. Impala uses the standard SQL but still you might need to modify the source SQL when bringing specific application to Hadoop Impala due to variations in data types, built-in function and obviously Hadoop specific syntax. Even if the SQL is working correctly in Impala, you might consider rewriting it to improve performance. Read: Netezza Hadoop Connector…

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Netezza Hadoop Integration and different types of Ingestion

Big Data and Netezza are two terms you hear lot about when you are working with loads of data. You want to process bunch of data and perform analytics on same. Sometimes it comes to raw data as well; you may get requirement to perform the analytics on the semi-structured data or unstructured data. Netezza Hadoop Integration comes into picture. So now question is how can you perform low latency data analytics on above mentioned data sets?Answer is Netezza Hadoop integration. Process the semi-structured or unstructured data in Hadoop and ingest…

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Netezza Hadoop Connector and its Usage

Netezza Hadoop connector for Sqoop is an implementation of the Sqoop connector interfaces for accessing a Netezza data warehouse appliance from Hadoop cluster. Yom can export and import he data to a Hadoop cluster from various Netezza data warehouse environment. Netezza Hadoop connector is designed to use Netezza high-throughput data-transfer mechanisms to import and export data to Hadoop HDFS. This Connector for Netezza is a standard Sqoop extension that allows Sqoop to inter operate with Netezza Data warehouse appliance through Netezza JDBC drivers. This connector is already Cloudera Hadoop distribution…

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