Understanding Data Warehouse & ETL
A Data Warehouse is a huge database designed solely for data analysis. It is not used for any standard database process or business transactions. ETL (Extract, Transform, and Load) is a process by which normalized data is extracted from various sources and loaded into a data warehouse or a repository. This is then made available for analysis and querying. This repository is transformed to remove any redundancy and inconsistency. ETL supports effective decision making and analytics based on the composite data. Slices of data from the data warehouse can be stored in a data mart. This enables quick access to specific data like the summary of sales or finance reports. Search for exciting
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Data Warehouse Features & Capabilities
Data Warehouse has features and capabilities that support data analysis with ease. A good data warehouse should have the following abilities: • Interact with other sources and input; extract data using data management tools. • It should be able to extract data from various sources, files, Excel, applications, and so on. • Allow cleansing so duplication and inconsistency can be removed. • Reconcile data to have standard naming conventions. • Allow both native and autonomous storage of data for an optimized process.
Top ETL Tools to excel in Data Warehousing Jobs
There are many ETL tools available in the market. The most commonly used tools for ETL are given below. • Sybase • Oracle Warehouse Builder • CloverETL • MarkLogic. There are excellent data warehousing tools like Teradata, Oracle, Amazon Web Services, CloudEra, and MarkLogic. Expertise in any of these can fetch you a good job in the field of data warehousing.
Salary Snapshot for Data warehousing Jobs in US
A senior Data Warehouse developer receives an average pay of $123,694 a year. Based on the skill and expertise the salaries in this field can range anywhere from $193,000 to $83,000. Most of the Senior Data Warehouse Developer receives a salary that ranges between $103,500 to $138,000 in the United States. There are currently plenty of Data Warehouse developer jobs in USA.
Career Path for a Data Warehouse Professional
Data Warehouse gives immense opportunities for an IT professional. There are a plethora of roles and designations required to manage this vast application and its different modules. Data warehouse managers are software engineers who build storage mechanisms for organizations to meets the need of the company. Entry-level roles in Data Warehouse are Software Developer, Software Engineer, Business Intelligence (BI) Developer, and Data warehouse ETL Developer People who make use of the data in the Data Warehouse to arrive at various decisions are Data Analyst, Data Scientist, and Business Intelligence (BI) Analyst. Senior roles in this field are Data Warehouse Managers, Senior Financial Analyst, Senior Software Engineer / Developer / Programmer, and Senior Business Analyst. Data warehousing jobs in USA are still prevalent, and if you are a specialist in this field, you can make a great career out of it.
Data warehouse & Skills & Tools
To be a Data Warehousing professional, you need an in-depth understanding of the database management system and its functions. Experience in developing databases using any of the database applications will be an added advantage. Apart from this, other technical skills required for a Data Warehousing job are discussed below: • Tools for developing ETL. You can either develop ETLs by creating mappings quickly or build it from scratch. Some commonly used ETL tools are Informatica, Talend, Pentaho. • Structured Query Language or SQL is the backbone of ETL. You must know SQL as it is the technology used to build ETLs. • Parameterization is another crucial skill to master. • Knowledge in any of the scripting languages used in a database application, like, Python, Perl, and Bash, will come in handy. • Debugging is another essential technical skill as nothing ever goes as planned. Apply for
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