Data Warehouse, E-Commerce and Reference - Business Analysis Digest

Database Activity Monitoring – A Security Investment That Pays Off

Smart Data Collective

FEBRUARY 20, 2022

Supervising privileged users such as database management system (DBMS) administrators, controlling access to business-critical data, and assuring compliance with regulatory requirements are the main DAM usage scenarios. As privacy laws become more rigid, a growing number of companies are purchasing DAM systems to thwart data leaks.

Monitoring

Monitoring E-Commerce Data Warehouse Data Security

How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

APRIL 14, 2022

They tell you how big data helped them create a mark in today’s world. The comprehensive system which collectively includes generating data, storing the data, aggregating and analyzing the data, the tools, platforms and other softwares involved is referred to as Big Data Ecosystem.

Big Data

Big Data Data Analytics Data Analytics Data Management

The Complete Guide to Reverse ETL

Astera

JANUARY 25, 2024

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

E-Commerce

E-Commerce Data Warehouse Retail Customer Experience

Webinars

From Failure to Forecasting: Smarter M&A Strategies

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Planning Your Migration to Microsoft D365 F&SCM

Insight Software

JANUARY 18, 2021

Overlaying refers to the process of inserting custom programming directly into Microsoft’s source code. If you have made customizations or modifications that extend the existing data in your legacy ERP system, an off-the-shelf automated approach to migration may not cover it all.

Planning

Planning E-Commerce Supply Chain Finance

ETL Batch Processing: A Comprehensive Guide

Astera

DECEMBER 7, 2023

ETL refers to a process used in data integration and warehousing. It gathers data from various sources, transforms it into a consistent format, and then loads it into a target database, data warehouse , or data lake. Extract: Gather data from various sources like databases, files, or web services.

Supply Chain

Supply Chain E-Commerce Data Warehouse Real-time Data

ETL Batch Processing: A Comprehensive Guide

Astera

DECEMBER 7, 2023

ETL refers to a process used in data warehousing and integration. It gathers data from various sources, transforms it into a consistent format, and then loads it into a target database, data warehouse, or data lake. Extract: Gather data from various sources like databases, files, or web services.

Supply Chain

Supply Chain E-Commerce Real-time Data Data Warehouse

What Is Change Data Capture (CDC): Methods, Benefits, and Challenges

Astera

JANUARY 24, 2024

For instance, a database (SQL Server) of an e-commerce website contains information about customers who place orders on the website. It helps maintain a smooth flow and increases the system’s reliability as there is integration and constant data flow in data warehouses. How C hange D ata C apture Works?

E-Commerce

E-Commerce Data Warehouse Real-time Data Monitoring

What is ETL? – Extract, Transform, Load Explained

Astera

SEPTEMBER 28, 2023

Reverse ETL is a relatively new concept in the field of data engineering and analytics. It’s a data integration process that involves moving data from a data warehouse, data lake, or other analytical storage systems back into operational systems, applications, or databases that are used for day-to-day business operations.

Data Warehouse

Data Warehouse Data Quality Real-time Data E-Commerce

Data Integration 101: Understanding The Basics

Astera

SEPTEMBER 20, 2023

Enforces data quality standards through transformations and cleansing as part of the integration process. Use Cases Use cases include data lakes and data warehouses for storage and initial processing. Use cases include creating data warehouses, data marts, and consolidated data views for analytics and reporting.

Data Warehouse

Data Warehouse Data Quality Real-time Data E-Commerce

Data Integration 101: Understanding The Basics

Astera

SEPTEMBER 20, 2023

Enforces data quality standards through transformations and cleansing as part of the integration process. Use Cases Use cases include data lakes and data warehouses for storage and initial processing. Use cases include creating data warehouses, data marts, and consolidated data views for analytics and reporting.

Data Warehouse

Data Warehouse Data Quality Real-time Data E-Commerce

What is a database?

Astera

JUNE 3, 2024

The right database for your organization will be the one that caters to its specific requirements, such as unstructured data management , accommodating large data volumes, fast data retrieval or better data relationship mapping. It’s a model of how your data will look. These are some of the most common databases.

Data Warehouse

Data Warehouse Documentation E-Commerce Data Management

The Change Data Capture (CDC) Guide for PostgreSQL

Astera

FEBRUARY 7, 2024

Its versatility allows for its usage both as a database and as a data warehouse when needed. Data Warehousing : A database works well for transactional data operations but not for analysis, and the opposite is true for a data warehouse. The two complement each other so you can leverage your data more easily.

E-Commerce

E-Commerce Data Warehouse Monitoring Data Management

What Is Embedded Analytics?

Insight Software

MAY 1, 2023

that gathers data from many sources. Amazon Amazon is the leading e-commerce site. Amazon also provides data and analytics – in the form of product ratings, reviews, and suggestions – to ensure customers are choosing the right products at the point of transaction. Ask your vendors for references.

Embedded Analytics

Embedded Analytics IBM Support IBM Maintenance IBM cost

The Benefits, Challenges and Risks of Predictive Analytics for Your Application

Insight Software

SEPTEMBER 1, 2023

Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future. In this modern, turbulent market, predictive analytics has become a key feature for analytics software customers.

Predictive Analytics

Predictive Analytics IBM Support IBM Maintenance Embedded Analytics

What is Data Warehouse – Fundamentals, Usage, benefits

The BAWorld

OCTOBER 25, 2024

Overview This article presents an overview of the study of data warehousing integrating its underlying principles and major aspects. Focus of this article is to analyze data warehousing concepts and architecture alongside different types of data warehouses. Let’s start with basics concepts related to Data.

Data Warehouse

Data Warehouse Business Intelligence Business Intelligence E-Commerce

Business Analysis Digest

Database Activity Monitoring – A Security Investment That Pays Off

How Data Management and Big Data Analytics Speed Up Business Growth

Webinars

Trending Sources

The Complete Guide to Reverse ETL

Webinars

Planning Your Migration to Microsoft D365 F&SCM

ETL Batch Processing: A Comprehensive Guide

ETL Batch Processing: A Comprehensive Guide

What Is Change Data Capture (CDC): Methods, Benefits, and Challenges

What is ETL? – Extract, Transform, Load Explained

Data Integration 101: Understanding The Basics

Data Integration 101: Understanding The Basics

What is a database?

The Change Data Capture (CDC) Guide for PostgreSQL

What Is Embedded Analytics?

The Benefits, Challenges and Risks of Predictive Analytics for Your Application

What is Data Warehouse – Fundamentals, Usage, benefits

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