ODSC - Open Data Science

APRIL 26, 2023

Though scripted languages such as R and Python are at the top of the list of required skills for a data analyst, Excel is still one of the most important tools to be used. Tools such as the mentioned are critical for anyone interested in becoming a machine learning engineer.

Data Analyst 52

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ODSC - Open Data Science

FEBRUARY 5, 2025

This May, were heading to Boston for ODSC East 2025, where data scientists, AI engineers, and industry leaders will gather to explore the latest advancements in AI, machine learning, and data engineering. Were also going to start another AI Bootcamp cohort in April if you want to experience everything live.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Precisely

AUGUST 15, 2024

Key Players in AI Development Enterprises increasingly rely on AI to automate and enhance their data engineering workflows, making data more ready for building, training, and deploying AI applications. Data engineers focus on tasks like cleansing and managing data, ensuring its quality and readiness for AI applications.

AI 64

AI AI Data Quality Data Engineering 64

phData

MAY 28, 2024

With Cortex, business analysts, data engineers, and developers can easily incorporate Predictive and Generative AI into their workflows using simple SQL commands and intuitive interfaces. As an example, check out our blog post on implementing a data engineering pipeline for Sentiment Analysis with dbt. What is Snowpark?

Machine Learning 52

Machine Learning Machine Learning Data Engineering Data Engineering 52

phData

MARCH 22, 2023

Snowpark , an innovative technology from the Snowflake Data Cloud , promises to meet this demand by allowing data scientists to develop complex data transformation logic using familiar programming languages such as Java, Scala, and Python. Total': (t_write - t_start).total_seconds()

ML 52

ML ML Python Machine Learning 52

phData

AUGUST 2, 2024

These procedures are designed to automate repetitive tasks, implement business logic, and perform complex data transformations , increasing the productivity and efficiency of data processing workflows. Snowflake stored procedures and dbt Hooks are essential to modern data engineering and analytics workflows.

Data Pipeline 52

Data Pipeline Python Database SQL 52

DagsHub

AUGUST 23, 2024

We already know that a data quality framework is basically a set of processes for validating, cleaning, transforming, and monitoring data. Data Governance Data governance is the foundation of any data quality framework. It primarily caters to large organizations with complex data environments.

Data Quality 52

Data Quality Data Governance Machine Learning Machine Learning 52

The MLOps Blog

JUNE 27, 2023

Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. This provides end-to-end support for data engineering and MLOps workflows.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

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

DECEMBER 4, 2023

Exploring technologies like Data visualization tools and predictive modeling becomes our compass in this intricate landscape. Data governance and security Like a fortress protecting its treasures, data governance, and security form the stronghold of practical Data Intelligence. 12,00000 Programming (e.g.,

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Alation

NOVEMBER 28, 2022

But refreshing this analysis with the latest data was impossible… unless you were proficient in SQL or Python. We wanted to make it easy for anyone to pull data and self service without the technical know-how of the underlying database or data lake. Sathish and I met in 2004 when we were working for Oracle.

Data Governance 52

Data Governance Database Data Quality Data Lakes 52

Alation

MARCH 1, 2022

Through Impact Analysis, users can determine if a problem occurred with data upstream, and locate the impacted data downstream. With robust data lineage, data engineers can find and fix issues fast and prevent them from recurring. Similarly, analysts gain a clear view of how data is created. In 2022.1,

Data Warehouse 52

Data Warehouse Data Lakes Cloud Data Database 52

AWS Machine Learning Blog

FEBRUARY 7, 2025

Data Governance Account This account hosts data governance services for data lake, central feature store, and fine-grained data access. The SageMaker Project Portfolio has SageMaker projects that data scientists and ML engineers can use to accelerate model training and deployment.

ML 66

ML ML Data Scientist AWS 66

DagsHub

OCTOBER 23, 2024

General Purpose Tools These tools help manage the unstructured data pipeline to varying degrees, with some encompassing data collection, storage, processing, analysis, and visualization. DagsHub's Data Engine DagsHub's Data Engine is a centralized platform for teams to manage and use their datasets effectively.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

phData

SEPTEMBER 4, 2024

Full Stack Service ThoughtSpot Mode gives data teams everything they need to go from the back end to the front end. Mode is a code-first advanced analytics solution that integrates SQL , Python , and R Notebooks to create an expanded data workspace for advanced data analysis. Why Use ThoughtSpot?

Analytics 52

Analytics Analytics SQL ETL 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

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Alation

JANUARY 17, 2023

Data literacy — Employees can interpret and analyze data to draw logical conclusions; they can also identify subject matter experts best equipped to educate on specific data assets. Data governance is a key use case of the modern data stack. Who Can Adopt the Modern Data Stack? Data scientists.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Snorkel AI

MAY 12, 2023

Our data teams focus on three important processes. First, data standardization, then providing model-ready data for data scientists, and then ensuring there’s strong data governance and monitoring solutions and tools in place. For example, where verified data is present, the latencies are quantified.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

MAY 12, 2023

Our data teams focus on three important processes. First, data standardization, then providing model-ready data for data scientists, and then ensuring there’s strong data governance and monitoring solutions and tools in place. For example, where verified data is present, the latencies are quantified.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

phData

AUGUST 17, 2023

In the rapidly evolving landscape of data engineering, Snowflake Data Cloud has emerged as a leading cloud-based data warehousing solution, providing powerful capabilities for storing, processing, and analyzing vast amounts of data. It also allows you to create custom operators to integrate with specific systems.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Data Science Blog

SEPTEMBER 3, 2024

Celonis versucht Machine Learning innerhalb der Plattform aus einer Hand anzubieten und hat auch eigene Python-Bibleotheken dafür entwickelt. Einfachere Data Governance , denn eine zentrale Datenschicht zwischen den Applikationen erleichtert die Übersicht und die Aussteuerung der Datenzugriffsberechtigung.

Data Science 130

Data Science Power BI Azure Data Warehouse 130

Dataconomy

MAY 26, 2025

Big data engineers are essential in today’s data-driven landscape, transforming vast amounts of information into valuable insights. As businesses increasingly depend on big data to tailor their strategies and enhance decision-making, the role of these engineers becomes more crucial.

Big Data 91

Big Data Big Data Data Engineering Data Engineering 91

Women in Big Data

MAY 31, 2025

Additionally, WiBD partners with DataCamp to offer free licenses and certifications in data analysis, data engineering, and data science. Norhan Shereen Yassin , a global data expert at Allianz, was introduced as the speaker to discuss data career trends and emerging roles in the field.

SQL 52

SQL Data Science Big Data Big Data 52

AWS Machine Learning Blog

NOVEMBER 13, 2024

With the integration of SageMaker and Amazon DataZone, it enables collaboration between ML builders and data engineers for building ML use cases. ML builders can request access to data published by data engineers. Additionally, this solution uses Amazon DataZone. It’s mapped to the custom_details field.

ML 116

ML ML AWS Data Preparation 116

phData

MAY 21, 2025

With SiS, Data Scientists, Machine Learning Engineers, and Data Engineers can quickly create secure, Python-based data applications that interact seamlessly with Snowflake tables, stored procedures, and query resultswithout moving data outside Snowflake. Why Does it Matter? schema_name }}.hello_streamlit_from_dbt

Python 52

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