Astera

JUNE 6, 2023

ETL architectures have become a crucial solution for managing and processing large volumes of data efficiently, addressing the challenges faced by organizations in the era of big data. Incremental Data Extraction: Supporting the extraction of only changed or new data , efficiently tracking changes.

Data Quality 52

Data Quality Monitoring Data Warehouse Data Security 52

Astera

OCTOBER 19, 2023

Built-in connectivity for these sources allows for easier data extraction and integration, as users will be able to retrieve complex data with only a few clicks. Data Security Data security and privacy checks protect sensitive data from unauthorized access, theft, or manipulation. This was up 2.6%

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Data Pine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

Healthcare 145

Healthcare Big Data Data Analytics Data Analytics 145

Smart Data Collective

AUGUST 14, 2022

Once DLP identifies a violation, it initiates remediation protocols through alerts and encryption, thus preventing any end-user from accidentally sharing valuable data or falling victim to a successful malicious attack. The primary approach of DLP software is to focus on monitoring and control of endpoint activities.

Monitoring 311

Monitoring Cybersecurity Planning Data Management 311

Astera

NOVEMBER 28, 2023

Data sources can be broadly divided into six categories: Databases: These could be relational databases like MySQL, PostgreSQL, or NoSQL databases like MongoDB, Cassandra. Cloud Storage: Data can also be stored in cloud platforms like AWS S3, Google Cloud Storage, or Azure Blob Storage.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

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.”

Finance 52

Finance Banking Real-time Data Data Warehouse 52

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.”

Finance 40

Finance Banking Real-time Data Data Warehouse 40