phData

AUGUST 9, 2024

Typically, this data is scattered across Excel files on business users’ desktops. They usually operate outside any data governance structure; often, no documentation exists outside the user’s mind. This allows for easy sharing and collaboration on the data. Plus, it is a familiar interface for business users.

ETL 52

ETL Data Warehouse Data Governance Tableau 52

Pickl AI

OCTOBER 19, 2023

Regular Data Audits Conduct regular data audits to identify issues and discrepancies. This proactive approach allows you to detect and address problems before they compromise data quality. Data Governance Framework Implement a robust data governance framework. How Do You Fix Poor Data Quality?

Data Quality 52

Data Quality Data Governance Data Warehouse Machine Learning 52

Pickl AI

OCTOBER 10, 2024

Support for Advanced Analytics : Transformed data is ready for use in Advanced Analytics, Machine Learning, and Business Intelligence applications, driving better decision-making. Compliance and Governance : Many tools have built-in features that ensure data adheres to regulatory requirements, maintaining data governance across organisations.

Data Quality 52

Data Quality AWS Machine Learning Machine Learning 52

Alation

JANUARY 17, 2023

It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Reverse ETL tools. Data orchestration tools. A Note on the Shift from ETL to ELT.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. This graph is an example of one analysis, documented in our internal catalog.

Data Analyst 52

Data Analyst Data Scientist Analytics Analytics 52

The MLOps Blog

MARCH 15, 2023

Data governance: Ensure that the data used to train and test the model, as well as any new data used for prediction, is properly governed. For small-scale/low-value deployments, there might not be many items to focus on, but as the scale and reach of deployment go up, data governance becomes crucial.

AWS 52

AWS ETL ML ML 52

phData

AUGUST 10, 2023

In data vault implementations, critical components encompass the storage layer, ELT technology, integration platforms, data observability tools, Business Intelligence and Analytics tools, Data Governance , and Metadata Management solutions. could be considered to automate data vault design and development.

SQL 52

SQL Data Observability Data Quality Data Pipeline 52

Pickl AI

AUGUST 11, 2024

Consider factors such as data volume, query patterns, and hardware constraints. Document and Communicate Maintain thorough documentation of fact table designs, including definitions, calculations, and relationships. These tools support data quality initiatives and compliance efforts.

Data Quality 52

Data Quality Data Warehouse Data Governance Analytics 52

phData

APRIL 29, 2024

Understanding Fivetran Fivetran is a popular Software-as-a-Service platform that enables users to automate the movement of data and ETL processes across diverse sources to a target destination. This platform requires minimal to no coding.

SQL 52

SQL Data Warehouse Azure Cloud Data 52

Pickl AI

JULY 3, 2023

Gain hands-on experience with data integration: Learn about data integration techniques to combine data from various sources, such as databases, spreadsheets, and APIs. BI Developers should be familiar with relational databases, data warehousing, data governance, and performance optimization techniques.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

DagsHub

OCTOBER 23, 2024

Data Preprocessing Here, you can process the unstructured data into a format that can be used for the other downstream tasks. For instance, if the collected data was a text document in the form of a PDF, the data preprocessing—or preparation stage —can extract tables from this document. Unstructured.io

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

phData

SEPTEMBER 19, 2023

Cost reduction by minimizing data redundancy, improving data storage efficiency, and reducing the risk of errors and data-related issues. Data Governance and Security By defining data models, organizations can establish policies, access controls, and security measures to protect sensitive data.

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

phData

SEPTEMBER 4, 2024

ThoughSpot can easily connect to top cloud data platforms such as Snowflake AI Data Cloud , Oracle, SAP HANA, and Google BigQuery. In that case, ThoughtSpot also leverages ELT/ETL tools and Mode, a code-first AI-powered data solution that gives data teams everything they need to go from raw data to the modern BI stack.

Analytics 52

Analytics Analytics SQL ETL 52

DagsHub

APRIL 7, 2024

This also means that it comes with a large community and comprehensive documentation. Flexibility: Its use cases are wider than just machine learning; for example, we can use it to set up ETL pipelines. Also, it is a bit more difficult to find resources online other than the official documentation.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

phData

JULY 18, 2023

Slow Response to New Information: Legacy data systems often lack the computation power necessary to run efficiently and can be cost-inefficient to scale. This typically results in long-running ETL pipelines that cause decisions to be made on stale or old data. However, merely knowing what it consists of isn’t enough.

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52

IBM Journey to AI blog

JULY 3, 2024

Multiple data applications and formats make it harder for organizations to access, govern, manage and use all their data for AI effectively. Scaling data and AI with technology, people and processes Enabling data as a differentiator for AI requires a balance of technology, people and processes.

AI 45

AI AI Data Quality Database 45

phData

AUGUST 17, 2023

They offer a range of features and integrations, so the choice depends on factors like the complexity of your data pipeline, requirements for connections to other services, user interface, and compatibility with any ETL software already in use. This enhances the reliability and resilience of the data pipeline.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52