In this article, you learn how to create and configure a Zeppelin instance on an EC2, and about notebook storage on S3, and SSH access.
ETL stand for extract, transform and load. ETL is a strategy with which database functions are collectively used to fetch the data. With ETL, collection and transfer of the data are a lot easier. ETL model is a concept that provides reliability with a realistic approach. The database is like a lifeline that is to be protected and secured at any cost. Failing to keep the database intact can turn out to be a disaster.
In that case, ETL is a sophisticated program that can transfer the data from one database to another. In ETL format, the data is fetched from multiple sources. This data is then downloaded to a data warehouse. Data warehouse is a place where the data is consolidated and complied. ETL is a technique that can change the format of the data in data warehouse. Once the data is compiled, it is then transferred to the actual database.
ETL is a continuous phase. First step of ETL is extraction. As the name suggest, the data is extracted using multiple tools and techniques. The second step is the transformation of the data. There are set of rules defined for the extraction process. As per the requirement, there are multiple parameters used in order to shape up the data. There are lookup tables predefined for the extraction process. Last step of ETL is the loading process. The target of the loading process is to make sure that data is transferred to the required location in the desired format.Hire ETL Experts
We are a boutique management consulting practice helping our clients with their most important transformation challenges. We are working with a higher education client on streamlining a range of their core processes. One of those initiatives involves delivery of an online tool to digitise their academic workload planning process. We need assistance with a data conversion activity as part of this ...
build a machine learning pipeline for batch processing of tweets with [login to view URL] api method. API is made, may need adjustments, mostly need method of running batch inference, there is a capability built in this api framework.
This project involves the cleansing and transformation of data in each of 9 or 10 CSV files and then creating a sub-table (with a primary key) in each file. The resulting transformed sub-tables from each file are consolidated/merged into a single Excel file. Certain CSV files may contain poor quality data and may need significant cleansing and reconstruction of cell information. In each CSV file, ...