ODSC - Open Data Science

APRIL 26, 2023

Data Analyst When people outside of data science think of those who work in data science, the title Data Analyst is what often comes up. What makes this job title unique is the “Swiss army knife” approach to data. But this doesn’t mean they’re off the hook on other programs.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

Alation

AUGUST 3, 2021

It brings together business users, data scientists , data analysts, IT, and application developers to fulfill the business need for insights. DataOps then works to continuously improve and adjust data models, visualizations, reports, and dashboards to achieve business goals. Using DataOps to Empower Users.

DataOps 59

DataOps Data Pipeline Data Analyst Analytics 59

Alation

JUNE 21, 2022

Over time, we called the “thing” a data catalog , blending the Google-style, AI/ML-based relevancy with more Yahoo-style manual curation and wikis. Thus was born the data catalog. In our early days, “people” largely meant data analysts and business analysts. Data engineers want to catalog data pipelines.

DataOps 52

DataOps Data Scientist Data Quality Data Pipeline 52

IBM Journey to AI blog

JULY 13, 2023

This is the practice of creating, updating and consistently enforcing the processes, rules and standards that prevent errors, data loss, data corruption, mishandling of sensitive or regulated data, and data breaches. Data quality monitoring Maintaining good data quality requires continuous data quality management.

Data Quality 74

Data Quality Data Profiling Data Governance Machine Learning 74

IBM Journey to AI blog

DECEMBER 16, 2022

And because data assets within the catalog have quality scores and social recommendations, Alex has greater trust and confidence in the data she’s using for her decision-making recommendations. This is especially helpful when handling massive amounts of big data. Protected and compliant data.

Data Quality 52

Data Quality Data Governance Data Scientist Data Wrangling 52

ODSC - Open Data Science

DECEMBER 3, 2024

While the concept of data mesh as a data architecture model has been around for a while, it was hard to define how to implement it easily and at scale. Two data catalogs went open-source this year, changing how companies manage their data pipeline. The departments closest to data should own it.

Data Pipeline 40

Data Pipeline Data Governance Data Analyst Data Observability 40

Alation

JULY 7, 2022

Demand for data stewards and data catalogers is increasing steadily, particularly in entry to mid-level roles, as companies build out robust data governance programs to support data analytics initiatives. Supporting the data ecosystem. As such, it’s a natural learning environment.

Data Scientist 52

Data Scientist Data Analyst Analytics Analytics 52

Pickl AI

JULY 3, 2023

Programming Languages: Proficiency in programming languages like Python or R is advantageous for performing advanced data analytics, implementing statistical models, and building data pipelines. 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

Alation

JANUARY 17, 2023

Powered by cloud computing, more data professionals have access to the data, too. Data analysts have access to the data warehouse using BI tools like Tableau; data scientists have access to data science tools, such as Dataiku. Better Data Culture. Who Can Adopt the Modern Data Stack?

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

The MLOps Blog

MARCH 20, 2023

However, in scenarios where dataset versioning solutions are leveraged, there can still be various challenges experienced by ML/AI/Data teams. Data aggregation: Data sources could increase as more data points are required to train ML models. Existing data pipelines will have to be modified to accommodate new data sources.

ML 59

ML ML Machine Learning Machine Learning 59

Flipboard

MARCH 21, 2025

To establish trust between the data producers and data consumers, SageMaker Catalog also integrates the data quality metrics and data lineage events to track and drive transparency in data pipelines. This approach eliminates any data duplication or data movement.

SQL 141

SQL Data Analyst Data Warehouse AWS 141

Dataversity

AUGUST 2, 2022

For business leaders to make informed decisions, they need high-quality data. Unfortunately, most organizations – across all industries – have Data Quality problems that are directly impacting their company’s performance.

Data Quality 52

Data Quality Data Pipeline Data Analyst Data Scientist 52

Alation

APRIL 14, 2023

Last week, the Alation team had the privilege of joining IT professionals, business leaders, and data analysts and scientists for the Modern Data Stack Conference in San Francisco. Practitioners and hands-on data users were thrilled to be there, and many connected as they shared their progress on their own data stack journeys.

Data Pipeline 52

Data Pipeline Data Warehouse Cloud Data ETL 52