Testing and Monitoring Data Pipelines: Part Two
Dataversity
JUNE 19, 2023
In part one of this article, we discussed how data testing can specifically test a data object (e.g., table, column, metadata) at one particular point in the data pipeline.
Using Analytics to Monitor Profitability, Cash & Risk in a Portfolio of Projects
Inflexion Analytics
AUGUST 31, 2020
The risks of the portfolio must be monitored to ensure that the performance of the portfolio is staying within predicted parameters. Monitoring will reveal where this is not the case. A failure to monitor the portfolio risk is damaging for the contractor and the client alike. Example Case: A Construction Company Client.
Monitoring 
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OpenConfig Paving the Way for a Vendor Neutral Ecosystem
GAVS Technology
MAY 8, 2024
Over view With the number of network devices seeing exponential growth over the years, it has become very crucial to manage and monitor networks. OpenConfig vendor-neutral data models can help solve these network management issues with uniform data representation. Read more about the YANG data modeling language here.
5 Practical Applications of Big Data for Small Businesses
Smart Data Collective
MARCH 14, 2022
In manufacturing, for example, the rollout of smart, connected devices at many points along the production line mean that even relatively small-scale operations can be monitored, managed and synchronized more effectively.
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Critical Components of Big Data Architecture for a Translation Company
Smart Data Collective
JANUARY 26, 2021
Big Data Analytics News has hailed big data as the future of the translation industry. You might use predictive analysis-based data that can help you analyse buying trends or look at how the business might perform in a range of new markets. Using a Translation Company with Your Big Data Strategy.
How to Leverage Machine Learning for AML Compliance
BizAcuity
APRIL 1, 2023
AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics.
Comparing DynamoDB and MongoDB for Big Data Management
Smart Data Collective
OCTOBER 19, 2022
You can also easily monitor these databases. What Are Their Ranges of Data Models? MongoDB has a wider range of datatypes than DynamoDB, even though both databases can store binary data. It is compatible with a laptop to mainframe and on-premise through a hybrid cloud.
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How to Leverage Machine Learning for AML Compliance
BizAcuity
JANUARY 18, 2023
AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics.
Top 20 Data Warehouse Best Practices in 2024
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.
Can My Business Users Really Become Citizen Data Scientists?
ElegantJ BI
AUGUST 5, 2020
A Citizen Data Scientist will use his or her domain knowledge and primary skills and experience to gain insight into the data and hypothesize, prototype, analyze and forecast using data to improve accuracy of decisions and to share data and data models with other users.
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Can My Business Users Really Become Citizen Data Scientists?
ElegantJ BI
AUGUST 5, 2020
A Citizen Data Scientist will use his or her domain knowledge and primary skills and experience to gain insight into the data and hypothesize, prototype, analyze and forecast using data to improve accuracy of decisions and to share data and data models with other users.
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Can My Business Users Really Become Citizen Data Scientists?
ElegantJ BI
AUGUST 5, 2020
A Citizen Data Scientist will use his or her domain knowledge and primary skills and experience to gain insight into the data and hypothesize, prototype, analyze and forecast using data to improve accuracy of decisions and to share data and data models with other users.
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Teradata Storage Optimization
BizAcuity
APRIL 1, 2023
The Data Warehouse can scale up to 2048 nodes, thus offering data storage ability up to 94 petabytes. Here are some recommended tasks in this regard: Use Teradata Viewpoint to monitor and manage the workload. Collect user resource usage detail data. Collect ResUsage data.
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BI Solutions Are No Longer Just for Data Analysts!
ElegantJ BI
AUGUST 6, 2020
The evolution of BI solutions has enabled business users to gather and analyze business intelligence at the individual and team level so Modern Business Intelligence is no longer an activity that is limited to strategic initiatives, data scientists or IT. What is business intelligence? Contact Us now.
BI Solutions Are No Longer Just for Data Analysts!
ElegantJ BI
AUGUST 6, 2020
The evolution of BI solutions has enabled business users to gather and analyze business intelligence at the individual and team level so Modern Business Intelligence is no longer an activity that is limited to strategic initiatives, data scientists or IT. What is business intelligence? Contact Us now.
BI Solutions Are No Longer Just for Data Analysts!
ElegantJ BI
AUGUST 6, 2020
The evolution of BI solutions has enabled business users to gather and analyze business intelligence at the individual and team level so Modern Business Intelligence is no longer an activity that is limited to strategic initiatives, data scientists or IT. What is business intelligence? Contact Us now.
Teradata Storage Optimization
BizAcuity
SEPTEMBER 22, 2022
The Data Warehouse can scale up to 2048 nodes, thus offering data storage ability up to 94 petabytes. The Data Model is designed to be fault-tolerant and be scalable with redundant network connectivity to ensure reliability for critical use case. Determination of Usable Data Space. Collect ResUsage data.
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5 Hardware Accelerators Every Data Scientist Should Leverage
Smart Data Collective
APRIL 5, 2022
This feature helps automate many parts of the data preparation and data model development process. This significantly reduces the amount of time needed to engage in data science tasks. A text analytics interface that helps derive actionable insights from unstructured data sets.
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Do I Need Both BI Tools and Augmented Analytics?
ElegantJ BI
JUNE 10, 2022
Recent studies have focused on the trends in business intelligence and augmented analytics, predicting that businesses will grow analytics within the enterprise with: Augmented Analytics to enable non-technical business users to create sophisticated data models. Prescribe for improvement!
Do I Need Both BI Tools and Augmented Analytics?
ElegantJ BI
JUNE 10, 2022
Recent studies have focused on the trends in business intelligence and augmented analytics, predicting that businesses will grow analytics within the enterprise with: Augmented Analytics to enable non-technical business users to create sophisticated data models. Prescribe for improvement!
Do I Need Both BI Tools and Augmented Analytics?
ElegantJ BI
JUNE 10, 2022
Recent studies have focused on the trends in business intelligence and augmented analytics, predicting that businesses will grow analytics within the enterprise with: Augmented Analytics to enable non-technical business users to create sophisticated data models. A BI tool is crucial for business users to monitor and present data.
The Future of AI in Data Warehousing: Trends and Predictions
Astera
APRIL 28, 2023
By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.
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Chat GPT as a tool for business analysis
Analysts Corner
FEBRUARY 12, 2023
AI : The BABOK Guide defines various tasks and concepts related to business analysis, including requirements elicitation and analysis, process and data modeling, and stakeholder communication and management. This could help save time and effort in process and data modeling. Some suggestions include: 1. ID (primary key).
Do I Really Want to be a Citizen Data Scientist?
ElegantJ BI
DECEMBER 19, 2021
These solutions are sophisticated, yet easy enough for the average user to adopt, and they allow users to generate models and analysis and to use metrics and facts to make decisions, make recommendations and share data with other users. But, the Citizen Data Scientist doesn’t have to do it alone.
Do I Really Want to be a Citizen Data Scientist?
ElegantJ BI
DECEMBER 19, 2021
These solutions are sophisticated, yet easy enough for the average user to adopt, and they allow users to generate models and analysis and to use metrics and facts to make decisions, make recommendations and share data with other users. But, the Citizen Data Scientist doesn’t have to do it alone.
Do I Really Want to be a Citizen Data Scientist?
ElegantJ BI
DECEMBER 19, 2021
These solutions are sophisticated, yet easy enough for the average user to adopt, and they allow users to generate models and analysis and to use metrics and facts to make decisions, make recommendations and share data with other users. But, the Citizen Data Scientist doesn’t have to do it alone.
Empowering Your Data Science: Introducing Domo’s Amazon Bedrock ML Connector
Domo
FEBRUARY 1, 2024
It will also make your operations more efficient by applying predictive maintenance models to your workflows. For example, think about everything your channel owners could do when they can monitor their own analytics and make decisions without having to get on your analysts’ calendars.
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7 Data Quality Metrics to Assess Your Data Health
Astera
APRIL 23, 2024
Understand your Content Requirements & Data Model To effectively implement data quality metrics, you need a clear understanding of what your data should look like and how it should behave — these are your “content requirements.”
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Tackling Bias in AI Translation: A Data Perspective
Smart Data Collective
MAY 29, 2023
Enabling external scrutiny requires developers’ accurate documentation of the training data, model architecture, and evaluation methodologies. Continuous monitoring, assessment, and feedback are required to detect and address issues as they occur.
Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing
Astera
FEBRUARY 14, 2024
Data vault is an emerging technology that enables transparent, agile, and flexible data architectures, making data-driven organizations always ready for evolving business needs. What is a Data Vault? A data vault is a data modeling technique that enables you to build data warehouses for enterprise-scale analytics.
What to Consider When Moving Your CMDB Into Jira Service Management Cloud
Cprime
SEPTEMBER 7, 2023
Investigating Existing Data Models: Understanding the current data structure, including how information is stored, categorized, and accessed, is paramount. Mapping Old to New: A crucial part of this stage involves mapping the existing data structure to the new one, ensuring no loss of essential information.
Finance Data Warehouse for Reporting and Analytics
Astera
NOVEMBER 1, 2023
Efficient Reporting: Standardized data within a data warehouse simplifies the reporting process. This enables analysts to generate consistent reports swiftly, which are essential to evaluate performance, monitor financial health, and make informed strategic decisions.
What are Citizen Analysts and How Can They Improve Your Organization?
ElegantJ BI
JANUARY 3, 2019
These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.
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What are Citizen Analysts and How Can They Improve Your Organization?
ElegantJ BI
JANUARY 3, 2019
These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.
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What are Citizen Analysts and How Can They Improve Your Organization?
ElegantJ BI
JANUARY 3, 2019
These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.
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Shift governance and data management to enable, not restrict, your organization
Tableau
OCTOBER 14, 2021
Quality: Ensure and communicate trusted data. Self-service relies on maintaining quality data that people can trust. Establishing repeatable processes to prepare data, build data models, publish, and certify them ensures that your data is ready for analysis and trusted for decision-making.
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Big Data Security: Protecting Your Valuable Assets
Astera
MAY 25, 2023
However, to ensure the effectiveness of these measures, businesses should regularly update and monitor these measures. Regular Audits and Risk Assessments Regular audits and risk assessments can help businesses identify vulnerabilities in their big data infrastructure. Encrypting data in transit (emails, file transfers, etc.)
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Shift governance and data management to enable, not restrict, your organization
Tableau
OCTOBER 14, 2021
Quality: Ensure and communicate trusted data. Self-service relies on maintaining quality data that people can trust. Establishing repeatable processes to prepare data, build data models, publish, and certify them ensures that your data is ready for analysis and trusted for decision-making.
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Billie Inspires Customer Trust with Tool to Improve Dashboard Reliability
Sisense
JANUARY 14, 2021
Because of how delicate customer relationships can be, Billie expended considerable resources monitoring reported data for accuracy and fixing broken charts and reports before consumers could be affected. He works on reporting, analysis, and data modeling. Read on to see how this enterprising team did it.
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The Complete Guide to Reverse ETL
Astera
JANUARY 25, 2024
Reverse ETL combined with data warehouse helps data analysts save time allowing them to focus on more complex tasks such as making sure their data is high quality, keeping it secure and private, and identifying the most important metrics to track. Data Models: These define the specific sets of data that need to be moved.
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Self-Service Analytics for Google Cloud, now with Looker and Tableau
Tableau
OCTOBER 8, 2021
Leveraging Looker’s semantic layer will provide Tableau customers with trusted, governed data at every stage of their analytics journey. With its LookML modeling language, Looker provides a unique, modern approach to define governed and reusable data models to build a trusted foundation for analytics.
Government 133
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CCBA Exam Questions & Answers with Explanations
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.
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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics
Data Pine
SEPTEMBER 29, 2022
Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business. These needs are then quantified into data models for acquisition and delivery. This person (or group of individuals) ensures that the theory behind data quality is communicated to the development team. 2 – Data profiling.
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Self-Service Analytics for Google Cloud, now with Looker and Tableau
Tableau
OCTOBER 8, 2021
Leveraging Looker’s semantic layer will provide Tableau customers with trusted, governed data at every stage of their analytics journey. With its LookML modeling language, Looker provides a unique, modern approach to define governed and reusable data models to build a trusted foundation for analytics.
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