Spark Data Analytics

Helping businesses leverage the power of Data Analytics to get insights into their data.

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Data Extraction

Data Extraction

Data extraction is the act or process of retrieving data out of data sources for further data processing or data storage. The import into the intermediate extracting system is thus usually followed by data transformation and possibly the addition of metadata prior to export to another stage in the data workflow.

Data Extraction

Data Transforming

In computing, data transformation is the process of converting data from one format or structure into another format or structure. It is a fundamental aspect of most data integration and data management tasks such as data wrangling, data warehousing, data integration and application integration.

Data Extraction

Data Loading

The load phase loads the data into the end target, which can be any data store including a simple delimited flat file or a data warehouse.Depending on the requirements of the organization, this process varies widely. Some data warehouses may overwrite existing information with cumulative information; updating extracted data is frequently done on a daily, weekly, or monthly basis.

With the help of ETL Data Integration get an unified view of all your data from different sources in a single place

Scale your business more efficiently by making better decisions and see patterns in your data

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About Spark

Info about the company.............................

Bala Ramachandran
Data Engineering Consultant with experience in both traditional and Cloud Data Warehouses. Have worked for top Banks like HSBC & BNY Mellon, Top Higher Education (NYU) and startups.
Venkat Ramachandran
Data Engineering & Integration Consultant with vast experience in US Banking domain.

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Go ahead and send us a mail @ -> someone@spark.do