Astera

AUGUST 21, 2023

Introduced in 1996 by Ralph Kimball, a star schema is a multi-dimensional data modeling technique. It is the simplest schema type businesses use in data warehousing. This simple, denormalized structure makes it very efficient for querying data. Free Ebook - The Essential Toolkit For Data Warehouse Automation Download

Data Warehouse 52

Data Warehouse Data Modelling Data Quality Visualization 52

Astera

FEBRUARY 27, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Inflexion Analytics

JULY 8, 2021

The resilience of supply chains has been tested in recent years by some catastrophic events and by political disruption to trade flows. For rarer, but higher-impact events the visualisations will inform the rapid recovery actions that need to be taken. [et_pb_section fb_built=”1″ _builder_version=”4.4.8″][et_pb_row

Supply Chain 52

Supply Chain Data Modelling Visualization Digital 52

Inflexion Analytics

OCTOBER 22, 2021

There has been political disruption to trade flows and disruption from catastrophic events, notably the Covid 19 pandemic. But data and analytics can also help them recover more quickly from the rarer, higher-impact events against which it is harder to hedge.

Supply Chain 52

Supply Chain Predictive Analytics Digital Data Modelling 52

Astera

APRIL 23, 2024

It happens due to redundancy, duplications, and inconsistencies within datasets and is a sign of poor-quality data. Unhealthy data also complicates the backup and recovery processes, as finding and restoring accurate data becomes challenging in the event of data loss.

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

Sisense

APRIL 21, 2019

With a comprehensive, BI-focused data strategy, you and your stakeholders will know what your ideal data model should look like once all your data is moved over. BI-Focus and Your Data Infrastructure. What does all this have to do with my data model ?” you might be wondering. you might be wondering.

Data Modelling 72

Data Modelling Logistics Planning 72

Astera

FEBRUARY 28, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Passionate BA

SEPTEMBER 2, 2023

Yulia discusses the importance of accurate data modeling, pointing out missing entities, vague relationships, or overly complex designs. By addressing these common pitfalls, the article provides valuable guidance for domain and data modeling. Upcoming business analysis events 06.09, 6 PM CEST.

Business Analysis 130

Business Analysis Business Analysis Backlog Management Documentation 130

Argon Digital

AUGUST 4, 2022

Creating a Business Data Diagram. 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.

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.

Banking 52

Banking Documentation Visualization Data Modelling 52

Tableau

MAY 6, 2021

We set up an event-based notification for the administrator to view wherever they are, and then easily share that milestone with their team. You can personalize notification options without changing the underlying data model and set security permissions at the content- and row-levels.

Government 100

Government Visualization Data Modelling 100

Watermark Learning

JUNE 15, 2021

A variety of models can be used to show scope, including context diagrams, features in/out lists, use case diagrams, high-level data flow diagrams, and business processes. Data models. policies, calculations, sequence of events, limits, and business decisions).

Process Modelling 52

Process Modelling Project Management Data Modelling Visualization 52

Actian

FEBRUARY 25, 2020

These cloud services leverage cloud-native architectures that are often highly distributed, leverage parallel processing, involve non-relational data models, and can be spun up or shut down in a matter of seconds. Events and data are evaluated, leading to dynamic workflows emerging based upon the needs of the individual transaction.

Data Warehouse 40

Data Warehouse Data Management Data Modelling Monitoring 40

Watermark Learning

OCTOBER 3, 2023

To support your work as a Business Analyst and for a certification exam, review these top modeling techniques: (Note to author – I added some definition around each one, so they knew what they were) Scope Modeling – visually describes what is in and out of scope of the focus area – e.g., solution, stakeholders, department, etc.

Process Modelling 86

Process Modelling Business Analysis Business Analysis Visualization 86

Tableau

JUNE 26, 2021

Maggy Muellner, Playfair Data : 3 Innovative Ways to Use Filters in Tableau. Keith Dykstra, InterWorks : Pivoting Without Changing Granularity: A New Use for Tableau’s Relational Data Model. Mark Bradbourne, Sons of Hierarchies : Real World Fake Data; A Retrospective. Calculations.

Data Modelling 85

Data Modelling Innovation Data Analytics Data Analytics 85

Astera

MAY 31, 2024

On the other hand, Data Science is a broader field that includes data analytics and other techniques like machine learning, artificial intelligence (AI), and deep learning. It involves visualizing the data using plots and charts to identify patterns, trends, and relationships between variables.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Astera

JANUARY 23, 2023

Prescriptive analytics Prescriptive analytics involves using historical data to predict events in the future while drawing helpful recommendations. This type of analytics outlines specific steps an individual or organization can take to achieve desired results or the best course of action.

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 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

Astera

JANUARY 24, 2024

Using them with APIs, you can create workflows and trigger events to share dat a between systems. Event-Based Integrations Event-driven architecture helps you ensure that your pip e l i ne s are up dat ed in real-time. Just like CDPs, an iPaaS can off er the utility of a Reverse ETL tool without being one itself.

Data Warehouse 52

Data Warehouse Data Quality Data Management Data Security 52

Tableau

MAY 6, 2021

We set up an event-based notification for the administrator to view wherever they are, and then easily share that milestone with their team. You can personalize notification options without changing the underlying data model and set security permissions at the content- and row-levels.

Government 52

Government Visualization Data Modelling 52

Marutitech

APRIL 7, 2022

Predictive analytics is a new wave of data mining techniques and technologies which use historical data to predict future trends. Predictive Analytics allows businesses and investors to adjust their resources to take advantage of possible events and address issues before becoming problems. Data modeling.

Predictive Analytics 98

Predictive Analytics Data Modelling Data Mining Data Requirement 98

Sisense

APRIL 10, 2020

Specific challenges involved with data related to the Coronavirus. Access to a reliable source of contagion data for a global event happening in real-time is not easy to discover. The major repositories that include data on public health issues or disease outbreaks can be accessed through an API. Data infrastructure.

Visualization 105

Visualization Data Modelling Healthcare Government 105

The BAWorld

NOVEMBER 5, 2023

MuSoft's Business analyst has conducted the elicitation and has modelled the processes and has created data model for the change. A section of the data model is shown here. MuSoft's Business analyst has conducted the elicitation and has modelled the processes and has created data model for the change.

Banking 52

Banking Documentation Business Analysis Business Analysis 52

Marutitech

DECEMBER 17, 2021

Simply put, predictive analytics is predicting future events and behavior using old data. Predicting future events gives organizations the advantage to understand their customers and their business with a better approach. You must be wondering what the different predictive models are? What is predictive data modeling?

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Tableau

JUNE 26, 2021

Maggy Muellner, Playfair Data : 3 Innovative Ways to Use Filters in Tableau. Keith Dykstra, InterWorks : Pivoting Without Changing Granularity: A New Use for Tableau’s Relational Data Model. Mark Bradbourne, Sons of Hierarchies : Real World Fake Data; A Retrospective. Calculations.

Data Modelling 52

Data Modelling Innovation Data Analytics Data Analytics 52

Astera

MAY 25, 2023

Network Security Network security measures such as firewalls, intrusion detection systems, and security information and event management (SIEM) tools can help prevent unauthorized access to a company’s network. They can then block that data from being transmitted outside the network or quarantine/encrypt it.

Big Data 40

Big Data Data Security Monitoring Data Quality 40

Astera

FEBRUARY 20, 2023

These resources are backed by a data model that helps derive relationships between various API resources exposed to a user. GraphQL: used for data APIs with more flexibility to query nested resource data in a single request.

Documentation 52

Documentation Change Management Visualization User Experience 52

Astera

JANUARY 18, 2024

With Hevo Data, you can pre-load transformations through Python. The flexibility to execute transformation code for each event within the configured data pipelines.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

Dataversity

FEBRUARY 24, 2021

They deliver a single access point for all data regardless of location — whether it’s at rest or in motion. Experts agree that data fabrics are the future of data analytics and […]. The post Maximizing Your Data Fabric’s ROI via Entity Data Modeling appeared first on DATAVERSITY.

Data Modelling 162

Data Modelling Data Analytics Data Analytics Enterprise Architecture 162

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

Sisense

JULY 14, 2019

Disaster Recovery: deals with how vital systems are backed up so that if they are damaged or destroyed, code and vital data is recoverable. Incident Management: provides an action plan in case of a breach or other security event. Does your data model encompass all the datasets it needs to in order to drive value for your users?

Data Security 75

Data Security Data Modelling Documentation Cybersecurity 75

Monday

MAY 28, 2021

A business process is the logical sequence of events that lead to a particular outcome relevant to your organization. A process includes all the activities or tasks in a chain of events that accomplishes something. Some of the most popular structural diagrams include: Class diagram: mainly used for data modeling in a system.

Process Modelling 103

Process Modelling UML Visualization Project Management 103

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

Capiro

FEBRUARY 10, 2021

For example, data is modelled in terms of business concepts and business associations between those concepts. Processes are modelled as the business transforms and business events, outcomes, inputs and outputs. According to Zachman, the models at this level are collectively known as ‘business definition models’.

Business Architecture 52

Business Architecture Enterprise Architecture Vision Data Modelling 52

Whizlabs

DECEMBER 23, 2020

Another potential highlight of Apache Cassandra is evident in the form of a Dynamo-style replication model without a single point of failure. On the contrary, users can avail a high-performance ‘column family’ data model. The aspect of data replication in Cassandra can also deliver a detailed and clear answer to ‘why Cassandra.’

Big Data 52

Big Data Data Analytics Data Analytics Data Modelling 52

Sisense

MAY 31, 2020

Sisense is delivering a beautiful front-end experience, powerful and flexible data modeling, and the opportunity to integrate at a very deep level.” ” Chris Wallingford, Director of Business Intelligence, Tessitura Network.

Data Warehouse 98

Data Warehouse Innovation Predictive Analytics Vision 98