Business Intelligence, Data Management, Data Modelling and Documentation

Data Modeling: Techniques, Best Practices, & Why It Matters?

Astera

FEBRUARY 1, 2024

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?

Data Modelling

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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

JANUARY 26, 2021

We covered the benefits of using machine learning and other big data tools in translations in the past. However, big data often encapsulates using constantly growing data sets to determine business intelligence objectives, such as when to expand into a new market, which product might perform overseas, and which regions to expand into.

Data Architecture

Data Architecture Big Data Documentation Monitoring

Health Data Management | Challenges and Best Practices

Astera

JANUARY 23, 2023

Billion by 2026 , showing the crucial role of health data management in the industry. Since traditional management systems cannot cope with the massive volumes of digital data, the healthcare industry is investing in modern data management solutions to enable accurate reporting and business intelligence (BI) initiatives.

Data Management

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What Is Data Management and Why Is It Important?

Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

Data Management

Data Management Data Warehouse Data Governance Data Quality

SQL Server for Data Warehouse: Optimizing Data Management and Analysis

Astera

DECEMBER 29, 2023

In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way. Free Download What is a Data Warehouse? Data is organized into two types of tables in a dimensional model: fact tables and dimension tables.

Data Warehouse

Data Warehouse Data Management Data Modelling Data Quality

SQL Server for Data Warehouse: Optimizing Data Management and Analysis

Astera

DECEMBER 29, 2023

In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way. Free Download What is a Data Warehouse? Data is organized into two types of tables in a dimensional model: fact tables and dimension tables.

Data Warehouse

Data Warehouse Data Management Data Modelling Data Quality

Enterprise Data Management — Driving Large-Scale Change in Your Organization

Sisense

JULY 6, 2020

This is why dealing with data should be your top priority if you want your company to digitally transform in a meaningful way, truly become data-driven, and find ways to monetize its data. Employing Enterprise Data Management (EDM). What is enterprise data management?

Data Management

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Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

JANUARY 27, 2021

This week, Gartner published the 2021 Magic Quadrant for Analytics and Business Intelligence Platforms. I first want to thank you, the Tableau Community, for your continued support and your commitment to data, to Tableau, and to each other. Francois Ajenstat. Kristin Adderson. January 27, 2021 - 4:36pm. February 18, 2021.

Business Intelligence

Business Intelligence Business Intelligence Government Visualization

Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

JANUARY 27, 2021

This week, Gartner published the 2021 Magic Quadrant for Analytics and Business Intelligence Platforms. I first want to thank you, the Tableau Community, for your continued support and your commitment to data, to Tableau, and to each other. Francois Ajenstat. Kristin Adderson. January 27, 2021 - 4:36pm. February 18, 2021.

Business Intelligence

Business Intelligence Business Intelligence Government Visualization

Unstructured Data Analytics — A Complete Guide

Astera

OCTOBER 7, 2022

Across industries, organizations generate a massive volume of data. Investing in analytics and business intelligence (BI) tools empowers business leaders to make more informed decisions. Unstructured data is qualitative and more categorical in nature. Enabling Unstructured Data Analytics. Conclusion.

Data Analytics

Data Analytics Data Analytics Documentation Customer Experience

The Top 7 Data Aggregation Tools in 2024

Astera

APRIL 24, 2024

The platform leverages a high-performing ETL engine for efficient data movement and transformation, including mapping, cleansing, and enrichment. Key Features: AI-Driven Data Management : Streamlines data extraction, preparation, and data processing through AI and automated workflows.

IBM Support

IBM Support IBM Maintenance IBM cost E-Commerce

Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing

Astera

FEBRUARY 14, 2024

Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing As businesses deal with larger and more diverse volumes of data, managing that data has become increasingly difficult. It is composed of user-friendly structures like star schemas that represent or data marts.

Data Warehouse

Data Warehouse Data Modelling Agile Data Quality

All You Need to Know About Data Aggregation

Astera

MAY 13, 2024

Data complexity, granularity, and volume are crucial when selecting a data aggregation technique. Documenting All Processes and Underlying Assumptions When aggregating data, document all processes and assumptions you use to obtain the aggregated results.

Supply Chain

Supply Chain E-Commerce Healthcare Data Quality

A Complete Guide to Data Analytics

Astera

MAY 30, 2024

Velocity : The speed at which this data is generated and processed to meet demands is exceptionally high. Variety : Data comes in all formats – from structured, numeric data in traditional databases to emails, unstructured text documents, videos, audio, financial transactions, and stock ticker data.

Data Analytics

Data Analytics Data Analytics Data Mining Supply Chain

SQL vs NoSQL: 5 Main Differences

Astera

JUNE 1, 2023

A NoSQL database is a non-relational database that stores data in a format other than rows and columns. NoSQL databases come in a variety of types based on their data model. The main types are: Key-value stores: Data is stored in an unstructured format with a unique key to retrieve values. Examples are Redis and DynamoDB.

Documentation

Documentation E-Commerce Big Data Master Data Management

SQL vs NoSQL: 5 Main Differences

Astera

JUNE 1, 2023

A NoSQL database is a non-relational database that stores data in a format other than rows and columns. NoSQL databases come in a variety of types based on their data model. The main types are: Key-value stores: Data is stored in an unstructured format with a unique key to retrieve values. Examples are Redis and DynamoDB.

Documentation

Documentation E-Commerce Big Data Master Data Management

Unifying Data from Multiple Sources: Data Integration and Data Consolidation in Data Preparation

Astera

JULY 13, 2023

Data integration involves combining data from different sources into a single location, while data consolidation is performed to standardize data structure to ensure consistency. Organizations must understand the differences between data integration and consolidation to choose the right approach for their data management needs.

Data Warehouse

Data Warehouse Data Governance Data Quality Master Data Management

What is Data Mapping?

Insight Software

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making.

IBM Support

IBM Support IBM Maintenance Data Warehouse IBM cost

Do the Benefits of Cloud Outweigh the Costs?

Insight Software

SEPTEMBER 19, 2023

Data Access What insights can we derive from our cloud ERP? What are the best practices for analyzing cloud ERP data? Data Management How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? Cross-functional collaboration.

IBM cost

IBM cost IBM Maintenance IBM Support Data Warehouse

Bridge the Gap Between Reporting and Data Visualization in Power BI

Insight Software

SEPTEMBER 22, 2023

In a rapidly evolving business environment, timely insights from data and the ability to react quickly to change are critical. Business intelligence is a key tool, empowering companies to get the most out of their data by providing tools to analyze information, streamline operations, track performance, and inform decision-making.

Data Visualization

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Cloud Data Warehouse: A Comprehensive Guide

Astera

OCTOBER 27, 2023

Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. Cloud data warehouses are designed to handle complex queries and are optimized for business intelligence (BI) and analytics. We've got both!

Data Warehouse

Data Warehouse Data Quality Big Data Predictive Analytics

What Is Embedded Analytics?

Insight Software

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., that gathers data from many sources.

Embedded Analytics

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Business Analysis Digest

Data Modeling: Techniques, Best Practices, & Why It Matters?

Critical Components of Big Data Architecture for a Translation Company

Trending Sources

Health Data Management | Challenges and Best Practices

What Is Data Management and Why Is It Important?

SQL Server for Data Warehouse: Optimizing Data Management and Analysis

SQL Server for Data Warehouse: Optimizing Data Management and Analysis

Enterprise Data Management — Driving Large-Scale Change in Your Organization

Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Unstructured Data Analytics — A Complete Guide

The Top 7 Data Aggregation Tools in 2024

Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing

All You Need to Know About Data Aggregation

A Complete Guide to Data Analytics

SQL vs NoSQL: 5 Main Differences

SQL vs NoSQL: 5 Main Differences

Unifying Data from Multiple Sources: Data Integration and Data Consolidation in Data Preparation

What is Data Mapping?

Do the Benefits of Cloud Outweigh the Costs?

Bridge the Gap Between Reporting and Data Visualization in Power BI

Cloud Data Warehouse: A Comprehensive Guide

What Is Embedded Analytics?

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