Data Processing Data Transformation Reference Visualization 
AWS Big Data
OCTOBER 11, 2023
Traditionally, such a legacy call center analytics platform would be built on a relational database that stores data from streaming sources. Data transformations through stored procedures and use of materialized views to curate datasets and generate insights is a known pattern with relational databases.
datapine
SEPTEMBER 29, 2022
Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. But first, let’s define what data quality actually is. What is the definition of data quality? Why Do You Need Data Quality Management? date, month, and year).
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
AWS Big Data
OCTOBER 31, 2023
citibike-tripdata-destination-ACCOUNT_ID – The bucket used for storing the transformed dataset. When implementing the solution in this post, replace references to airflow-blog-bucket-ACCOUNT_ID and citibike-tripdata-destination-ACCOUNT_ID with the names of your own S3 buckets. Choose Next. Run the DAG Let’s look at how to run the DAGs.
AWS Big Data
JULY 26, 2023
You can use your preferred IDE to implement AWS resource definition using the AWS Cloud Development Kit (AWS CDK) or AWS CloudFormation , and also the business logic of AWS Glue job scripts for data integration. To learn more about how to implement your AWS Glue job scripts locally, refer to Develop and test AWS Glue version 3.0
Jet Global
FEBRUARY 23, 2024
Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation. Data mapping is important for several reasons.
Cloudera
NOVEMBER 22, 2021
In addition, more data is becoming available for processing / enrichment of existing and new use cases e.g., recently we have experienced a rapid growth in data collection at the edge and an increase in availability of frameworks for processing that data. As a result, alternative data integration technologies (e.g.,
AWS Big Data
JULY 31, 2023
Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand. Navigate to the Visual tab.
Expert insights. Personalized for you.
109 
Let's personalize your content