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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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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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.
Top 20 Data Warehousing Best Practices in 2024
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.
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.
The Essential Guide to ETL Developer Skills, Roles, and Responsibilities
Analysts Corner
JUNE 18, 2023
Python, Java, C#) Familiarity with data modeling and data warehousing concepts Understanding of data quality and data governance principles Experience with big data platforms and technologies (e.g., Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g.,
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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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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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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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Data Science vs Data Analytics: Key Differences
Astera
MAY 31, 2024
Analysts use data analytics to create detailed reports and dashboards that help businesses monitor key performance indicators (KPIs) and make data-driven decisions. Data analytics is typically more straightforward and less complex than data science, as it does not involve advanced machine learning algorithms or model building.
A Complete Guide to Data Analytics
Astera
MAY 30, 2024
Variability: The inconsistency of data over time, which can affect the accuracy of data models and analyses. This includes changes in data meaning, data usage patterns, and context. Visualization: The ability to represent data visually, making it easier to understand, interpret, and derive insights.
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.
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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How does the Artificial Intelligence revolution impact IT Business Analysts?
Analysts Corner
JULY 28, 2023
There are numerous blog posts about prompt generation, image generation, and more clickbait about how people lose their job. You are familiar with the following keywords: SQL queries, spreadsheet “magic”, data lake, process mining, Tableau, Power BI, or any other business intelligence system.
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.
All You Need to Know About Data Aggregation
Astera
MAY 13, 2024
This blog offers an in-depth look at data aggregation to help you understand what it is, how it works, and how it benefits your business when done right. Understanding Data Aggregation What is Data Aggregation? Remember to monitor and validate your data to ensure it remains accurate, complete, and relevant.
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Visualize and Analyze Data with Microsoft Power BI – New Course
Whizlabs
MARCH 14, 2021
Data modelling and visualizations. As ahead, you can monitor your reports through the app. Reviewing and interacting with data is faster and helps you make the best business decisions. A hand on access to analysis, monitoring and exploration. Moreover, it will create clean and specified data models and graphs.
Big Data Security: Protecting Your Valuable Assets
Astera
MAY 25, 2023
As such, it is critical for businesses and organizations to not only collect and store big data, but also ensure its security to protect sensitive information and maintain trust with customers and stakeholders. In this blog, we will discuss the importance of big data security and the measures that can be taken to ensure it.
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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.
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 Warehousing for Insurance Reporting and Analytics
Astera
SEPTEMBER 1, 2023
A data warehouse’s capability to consolidate information empowers insurers to minimize financial losses caused by fraud. Monitoring various operational aspects allows insurers to gain a comprehensive overview, facilitating rapid identification of irregularities and potential fraud indicators.
Billie Inspires Customer Trust with Tool to Improve Dashboard Reliability
Sisense
JANUARY 14, 2021
Especially when dealing with business data, trust in the figures is an essential element of every transaction. 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.
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The Benefits of Using a Data Warehouse for Healthcare Data Management
Astera
APRIL 7, 2023
Data Quality Metrics: healthcare data warehouses can establish data quality metrics to measure quality and consistency such as completeness, accuracy, and timeliness. These metrics can then be used to monitor and improve data quality.
Better Analytics Through AI: Our Take on Gartner’s AI Trends
Sisense
AUGUST 21, 2020
AI and machine learning are the future of every industry, especially data and analytics. Reading through the Gartner Top 10 Trends in Data and Analytics for 2020 , I was struck by how different terms mean different things to different audiences under different contexts. Trend 5: Augmented data management.
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The Top 7 Data Aggregation Tools in 2024
Astera
APRIL 24, 2024
They gather, process, and analyze data from diverse sources. From handling modest data processing tasks to managing large and complex datasets, these tools bolster an organization’s data infrastructure. What are Data Aggregation Tools? At its core, Astera boasts a potent ETL engine that automates data integration.
IBM Support 52
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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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Experimenting to Win with Data
Sisense
FEBRUARY 23, 2021
When deploying analytics for your company or your customers, you can feel stuck between the twin poles of “What data is available?” The key to coming up with the best insights lies in delving deeply into both questions; the answers you discover can help you get even more out of your data. Applying data to goals.
Top API Design Tools: Streamlining Development for Success
Astera
NOVEMBER 13, 2023
In this blog, we’ll dive into the importance of API design tools, key features to look for and review the top tools in the market. With built-in connectivity to a wide array of data sources, it is a versatile solution for various use cases. 14% also mentioned that not having the right tools adds to the task of creating a good API.
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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Finance 360: How ETL Drives Strategic Insights In Minutes
Astera
FEBRUARY 16, 2024
You can also schedule, monitor, and manage your data pipelines from a centralized dashboard, ensuring that Finance 360 pipelines are always up-to-date and reliable. You can access and ingest data from any source and system, regardless of the data’s location, format, or structure.
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Data Governance Framework: What is it? Importance, Pillars and Best Practices
Astera
APRIL 24, 2024
Data integration also improves data governance by allowing for centralized management, which makes it easier to control data quality, security, and access. It standardizes data handling practices throughout the organization, ensuring consistent implementation and monitoring of governance policies.
Delivering Data Security Across Your Organization
Sisense
JULY 14, 2019
Quick question: does your company have data? How about this one: how much data does your company have? If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe?
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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The complete guide to business process modeling (2021 edition)
Monday
MAY 28, 2021
Some of the most popular structural diagrams include: Class diagram: mainly used for data modeling in a system. That’s why you need a system that helps you monitor all the information that’s important to you and analyze the performance of your processes. It’ll help you organize your modeling project on the right foot.
Modernize Your ETL Processes, Discover Better Insights
Sisense
JULY 8, 2020
We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. From ETL to ELT and beyond.
Enterprise Data Management — Driving Large-Scale Change in Your Organization
Sisense
JULY 6, 2020
We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive.
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