Astera

JANUARY 23, 2024

Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

JANUARY 18, 2024

So, in case your data requires extensive transformation or cleaning, Fivetran is not the ideal solution. Fivetran might be a viable solution if your data is already in good shape, and you need to leverage the computing power of the destination system.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

Astera

MAY 25, 2023

However, businesses can also leverage data integration and management tools to enhance their security posture. How is big data secured? Big data is extremely valuable, but also vulnerable. Protecting big data requires a multi-faceted approach to security. Access Control Controlling access to sensitive data is key.

Big Data 40

Big Data Data Security Monitoring Data Quality 40

Astera

NOVEMBER 13, 2023

Style Validators: This feature allows users to maintain design consistency across multiple APIs through standard naming conventions, data models, and other design elements. Domains: Domains enable the definition of reusable components like data models, security schemes, and servers, reducing duplication and enhancing efficiency.

Documentation 52

Documentation Visualization Project Management Data Modelling 52

Sisense

AUGUST 11, 2019

BA is a catch-all expression for approaches and technologies you can use to access and explore your company’s data, with a view to drawing out new, useful insights to improve business planning and boost future performance. See an example: Explore Dashboard. Business Analytics is One Part of Business Intelligence.

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

Astera

DECEMBER 22, 2022

Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional data warehouse architectures struggle to keep up with the ever-evolving data requirements, so enterprises are adopting a more sustainable approach to data warehousing. Use flexible data schemas .

Data Warehouse 52

Data Warehouse IBM Maintenance IBM Support Data Architecture 52

Astera

JULY 3, 2024

Data architecture is important because designing a structured framework helps avoid data silos and inefficiencies, enabling smooth data flow across various systems and departments. An effective data architecture supports modern tools and platforms, from database management systems to business intelligence and AI applications.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Astera

MAY 21, 2024

They’re the blueprint that defines how a database stores and organizes data, its components’ relationships, and its response to queries. Database schemas are vital for the data modeling process. Well-designed database schemas help you maintain data integrity and improve your database’s effectiveness.

Documentation 52

Documentation Data Modelling Visualization Data Requirement 52

Bridging the Gap

NOVEMBER 2, 2023

When I got to Module 3, which was the data modeling , that was a little bit challenging for me because I had to juggle more time with allowing more time to commit to the actual workbook as well as not having an impact on my work schedule. But you started out with a plan. I mean, clear requirements. Do you mean planning?

Business Analysis 52

Business Analysis Business Analysis Process Analysis Documentation 52

Argon Digital

AUGUST 4, 2022

I found the exercise of creating a Data Flow Diagram for a block walk/canvass so interesting that I decided to play with the same use case to create another data model, the Business Data Diagram (BDD). The BDD is one of the most important and useful models we use. The questions are why we create models!

Banking 52

Banking Documentation Visualization Data Modelling 52

Argon Digital

AUGUST 4, 2022

I found the exercise of creating a Data Flow Diagram for a block walk/canvass so interesting that I decided to play with the same use case to create another data model, the Business Data Diagram (BDD). The BDD is one of the most important and useful models we use. The questions are why we create models!

Banking 52

Banking Documentation Visualization Data Modelling 52

Marutitech

DECEMBER 17, 2021

You must be wondering what the different predictive models are? What is predictive data modeling? This blog will help you answer these questions and understand the predictive analytics models and algorithms in detail. What is Predictive Data Modeling? Applying the learning to different cases.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Astera

JANUARY 2, 2024

Data Governance Data governance provides strategic oversight and a framework to ensure that data is treated as a valuable asset and managed in a way that aligns with organizational goals and industry best practices. It ensures data quality, consistency, and compliance with regulations.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

OCTOBER 27, 2023

The cloud data warehouse’s engine optimizes SQL queries by choosing optimal execution plans, indexing strategies, and through other optimizations to minimize query response times. Many cloud data warehouses use cost-based optimization to parse queries. Dimensional Modeling or Data Vault Modeling?

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

APRIL 24, 2024

Data aggregation tools allow businesses to harness the power of their collective data, often siloed across different systems and formats. By aggregating data, these tools provide a unified view crucial for informed decision-making, trend analysis, and strategic planning. Who Uses Data Aggregation Tools?

IBM Support 52

IBM Support IBM Maintenance IBM cost Visualization 52

Astera

JANUARY 12, 2024

It was developed by Dan Linstedt and has gained popularity as a method for building scalable, adaptable, and maintainable data warehouses. Data Vault includes mechanisms for data quality control within the centralized data repository, while Data Mesh promotes data product quality through decentralized ownership.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Insight Software

MAY 1, 2023

SAID ANOTHER WAY… Business intelligence is a map that you utilize to plan your route before a long road trip. By Industry Businesses from many industries use embedded analytics to make sense of their data. The program offers valuable data analysis-based services such as benchmarking and personalized fitness plans.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

JULY 13, 2023

And it’s not just the accuracy of your business data but also the speed at which you can extract insights and share them with business leaders. Oracle enterprise resource planning (ERP) software holds vast amounts of data. Due to the complexity, accessing data in Oracle is often manual and time-consuming.

IBM Maintenance 52

IBM Maintenance IBM Support Supply Chain IBM Expert 52