Astera

NOVEMBER 1, 2023

It serves as the foundation of modern finance operations and enables data-driven analysis and efficient processes to enhance customer service and investment strategies. This data about customers, financial products, transactions, and market trends often comes in different formats and is stored in separate systems.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Sisense

FEBRUARY 16, 2021

Every aspect of analytics is powered by a data model. A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. Data modeling organizes and transforms data.

Data Modelling 52

Data Modelling Data Warehouse Banking Real-time Data 52

Astera

MAY 25, 2023

Unlocking the Potential of Amazon Redshift Amazon Redshift is a powerful cloud-based data warehouse that enables quick and efficient processing and analysis of big data. Amazon Redshift can handle large volumes of data without sacrificing performance or scalability. What Is Amazon Redshift? 

Data Warehouse 52

Data Warehouse Data Modelling Banking Real-time Data 52

The BAWorld

NOVEMBER 22, 2021

Data Modeling. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Conceptual Data Model. Logical Data Model : It is an abstraction of CDM. Data Profiling.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Sisense

JULY 14, 2019

from a few years ago features a scene wherein a character scatters USB sticks outside a police department, banking on human curiosity getting the better of one of the officers. Admins should be able to programmatically apportion user access by group, team, or individual, by data model, dataset, or down to the individual row-level.

Data Security 75

Data Security Data Modelling Documentation Cybersecurity 75

Sisense

MAY 27, 2019

You’ve got a strong bank of existing customers whose business you can grow. Plus, an understanding of machine learning and AI is becoming more important, as software engineers start to work with neural networks, and data engineers will need to prepare data pipelines to feed these neural networks. Let’s paint a happy picture.

Skillset 75

Skillset Cloud Computing Visualization Big Data 75

The BAWorld

SEPTEMBER 2, 2021

Think about the different apps on your smartphone – Uber, Facebook, Instagram, Health, Siri, photos, music playlist, banking, etc. We generate enormous amounts of a variety of data every day. Non-technical users can also work easily with structured data. Structured Data Example. Unstructured Data.

Big Data 52

Big Data Data Warehouse Data Visualization Visualization 52