Banking Data Warehouse Demo 
Astera
APRIL 13, 2023
In the digital age, a data warehouse plays a crucial role in businesses across several industries. It provides a systematic way to collect and analyze large amounts of data from multiple sources, such as marketing, sales, finance databases, and web analytics. What is a Data Warehouse?
Astera
FEBRUARY 9, 2024
End-to-End Credit Risk Assessment Process The credit risk assessment is a lengthy process where banks receives hundreds of loan applications daily from various channels, such as online forms, email, phone, and walk-in customers. The data pipeline is prone to errors and failures, such as network issues, server downtime, data corruption, etc.
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Astera
DECEMBER 18, 2023
From managing customer transactions and financial records to dealing with regulatory requirements and risk management, data plays a crucial role in every aspect of banking operations. This data is categorized as big data, a term denoting “large, diverse sets of information that grow at ever-increasing rates.”
Astera
DECEMBER 18, 2023
From managing customer transactions and financial records to dealing with regulatory requirements and risk management, data plays a crucial role in every aspect of banking operations. This data is categorized as big data, a term denoting “large, diverse sets of information that grow at ever-increasing rates.”
Astera
FEBRUARY 9, 2024
Data Loading The IT team configures a secure connection to BankX’s data warehouse using Astera’s Data Connectors. Astera has native connectors for various data warehouses, such as Amazon Redshift, Google BigQuery, or Snowflake, and can also load data into other destinations, such as files, databases, etc.
Astera
JULY 11, 2024
COBOL-Based Applications Description: Applications written in COBOL (Common Business-Oriented Language), often used in banking, insurance, and government sectors. Example: Core banking systems that handle transactions, account management, and customer data. Sign up for a personalized demo today!
Astera
DECEMBER 22, 2022
Let’s look at a transformation example: suppose a bank acquires an insurance firm. The payroll generation process would be straightforward if all the employee data was stored in a unified system, such as a data warehouse or database. Data profile of the Customers table used for Sorting.
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