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.
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.
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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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What Are OLAP (Online Analytical Processing) Tools?
Smart Data Collective
JUNE 16, 2022
A data warehouse extracts data from a variety of sources and formats, including text files, excel sheets, multimedia files, and so on. The consolidated totals are saved in a data model in the HOLAP technique, while the particular data is maintained in a relational database. The Benefits of OLAP.
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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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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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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.
Data Modelling 130
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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.
Data Modelling 130
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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.
Data Modelling 130
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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.
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.
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.
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.
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.
Data Discovery 130
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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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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.
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 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.
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).
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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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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Introducing the Tableau App for Microsoft Teams
Tableau
SEPTEMBER 11, 2024
“Now, customers can enhance productivity by enabling users to effortlessly access, share, and discuss data insights whether within meetings in real time or chats and channels, all within the single, unified environment of Microsoft Teams.” Monitor key metrics in real time with the AI-powered Tableau Pulse in Microsoft Teams.
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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How CTSI-Global Scales Their Embedded Analytics
Sisense
MARCH 18, 2019
For starters, we have data in multiple data sources and we didn’t want to refactor our databases and existing workflows just to launch our analytics solution. Added to that, each customer also has slight variations in their data model (variations coming from their single-tenant database) that had to be incorporated into the solution.
What is a data fabric?
Tableau
APRIL 18, 2022
Review quality and structural information on data and data sources to better monitor and curate for use. Data quality and lineage. Monitor data sources according to policies you customize to help users know if fresh, quality data is ready for use. Data modeling. Data preparation.
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New feature CDP Direct provides customer insights—without moving any data
Tableau
MARCH 10, 2022
Within TCRM’s dashboard designer, you can use three object types to create visualizations: Data lake objects provide access to data ingested from various connected data sources. These allow you to build dashboards that profile, analyze, and monitor data coming into Salesforce CDP.
New feature CDP Direct provides customer insights—without moving any data
Tableau
MARCH 10, 2022
Within TCRM’s dashboard designer, you can use three object types to create visualizations: Data lake objects provide access to data ingested from various connected data sources. These allow you to build dashboards that profile, analyze, and monitor data coming into Salesforce CDP.
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.
Government 95
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Better Analytics Through AI: Our Take on Gartner’s AI Trends
Sisense
AUGUST 21, 2020
Gartner: “By 2023, more than 33% of large organizations will have analysts practicing decision intelligence, including decision modeling.”. “It It provides a framework to help data and analytics leaders design, model, align, execute, monitor, and tune decision models and processes in the context of business outcomes and behavior.”.
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112 3 Ways Data Engineers Can Deal with Enterprise Data Pipelines
Sisense
JUNE 26, 2019
We have often talked about the single-stack approach to business analytics, and with the complexity of enterprise data, this approach makes even more sense. . You want to make sure you have one place to bring in all your data and do your data modeling. Now Go Hybrid. This is the best of both worlds.
What is a data fabric?
Tableau
APRIL 18, 2022
Review quality and structural information on data and data sources to better monitor and curate for use. Data quality and lineage. Monitor data sources according to policies you customize to help users know if fresh, quality data is ready for use. Data modeling. Data preparation.
Data Quality 98
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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.
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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insightsoftware Launches ESG Reporting Solution, Providing Robust Data Management, Compliance Confidence, and Automated Reporting
Insight Software
JUNE 27, 2024
Its pre-configured, expandable data model streamlines compliance while supporting various reporting frameworks. Key features include: Effortless Data Collection & Consolidation: Pre-configured, future-proof data model simplifies gathering of all data types (narrative, numeric, and calculated) for CSRD compliance.
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.
Top 19 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.
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