Alation

JANUARY 26, 2023

These data requirements could be satisfied with a strong data governance strategy. Governance can — and should — be the responsibility of every data user, though how that’s achieved will depend on the role within the organization. How can data engineers address these challenges directly?

Data Governance 52

Data Governance Data Engineer Data Engineering Data Engineering 52

Tableau

SEPTEMBER 23, 2021

If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? We’re all trying to use more data to make decisions, but constantly face roadblocks and trust issues related to data governance. . A data governance framework.

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Data Science Dojo

OCTOBER 31, 2024

The rise of big data technologies and the need for data governance further enhance the growth prospects in this field. Machine Learning Engineer Description Machine Learning Engineers are responsible for designing, building, and deploying machine learning models that enable organizations to make data-driven decisions.

Data Science 195

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Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Data Science Dojo

FEBRUARY 13, 2025

Data + AI Summit Dates: June 912, 2025 Location: San Francisco, California In a world where data is king and AI is the game-changer, staying ahead means keeping up with the latest innovations in data science, ML, and analytics. Thats where Data + AI Summit 2025 comes in!

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AI Big Data Big Data AI 222

Data Science Blog

JULY 20, 2024

Die Bedeutung effizienter und zuverlässiger Datenpipelines in den Bereichen Data Science und Data Engineering ist enorm. Modellierungsansätze : Unterstützt diverse Modellierungsmethoden, einschließlich Dimensional/Kimball und Data Vault 2.0.

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Data Science Dojo

JANUARY 31, 2023

Similarly, volatility also means gauging whether a particular data set is historic or not. Usually, data volatility comes under data governance and is assessed by data engineers. Vulnerability Big data is often about consumers. This is specific to the analyses being performed.

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Dataversity

AUGUST 14, 2024

The secret is to combine smart analytics with a strong data engineering strategy. As we continue into 2024, data engineering trends and insights will continue to be critical for businesses hoping to prosper in this cutthroat industry.

Data Engineer 59

Data Engineer Data Engineering Data Engineering Data Engineering 59

Alation

FEBRUARY 14, 2023

And a data breach poses more than just a PR risk — by violating regulations like GDPR , a data leak can impact your bottom line, too. This is where successful data governance programs can act as a savior to many organizations. This begs the question: What makes data governance successful? Where do you start?

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Data Governance Data Quality Data Analyst Data Engineering 52

Alation

MAY 31, 2023

The Data Governance & Information Quality Conference (DGIQ) is happening soon — and we’ll be onsite in San Diego from June 5-9. If you’re not familiar with DGIQ, it’s the world’s most comprehensive event dedicated to, you guessed it, data governance and information quality. The best part?

Data Governance 52

Data Governance DataOps Data Pipeline Business Intelligence 52

Alation

SEPTEMBER 7, 2021

In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. So why are organizations not able to scale governance? Meet Governance Requirements.

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Data Governance Data Scientist Data Quality Data Profiling 59

Dataconomy

DECEMBER 17, 2024

This blog post explores effective strategies for gathering requirements in your data project. Whether you are a data analyst , project manager, or data engineer, these approaches will help you clarify needs, engage stakeholders, and ensure requirements gathering techniques to create a roadmap for success.

Data Quality 91

Data Quality Power BI Data Engineering Data Engineering 91

ODSC - Open Data Science

JANUARY 18, 2024

Data engineering is a rapidly growing field, and there is a high demand for skilled data engineers. If you are a data scientist, you may be wondering if you can transition into data engineering. In this blog post, we will discuss how you can become a data engineer if you are a data scientist.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

ODSC - Open Data Science

MARCH 22, 2024

Be sure to check out his talk, “ Building Data Contracts with Open Source Tools ,” there! Data engineering is a critical function in all industries. However, data engineering grows exponentially as the company grows, acquires, or merges with others. He is passionate about software engineering and all things data.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Read more to know.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Dataversity

AUGUST 10, 2023

To get to the bottom of these questions and more, we conducted a survey of 100 survey respondents, at least 63 […] The post Which Data Quality Issues Are Plaguing Data Engineers Today? appeared first on DATAVERSITY.

Data Quality 52

Data Quality Data Engineer Data Engineering Data Engineering 52

IBM Journey to AI blog

FEBRUARY 26, 2024

The financial services industry has been in the process of modernizing its data governance for more than a decade. But as we inch closer to global economic downturn, the need for top-notch governance has become increasingly urgent. Trust and data governance Data governance isn’t new, especially in the financial world.

Data Pipeline 112

Data Pipeline Data Engineering Data Engineering Data Engineer 112

Precisely

OCTOBER 31, 2024

Key benefits of data fabric include: advanced analytics and faster decisions: with easy access to high-quality, real-time data – wherever it’s stored – you can leverage advanced analytics and accelerate decision-making based on the usage of your data.

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Data Science Blog

MAY 15, 2023

Darüber hinaus können Data Governance- und Sicherheitsrichtlinien auf die Daten in einem Data Lakehouse angewendet werden, um die Datenqualität und die Einhaltung von Vorschriften zu gewährleisten. Wenn Ihre Analyse jedoch eine gewisse Latenzzeit tolerieren kann, könnte ein Data Warehouse die bessere Wahl sein.

Data Warehouse 147

Data Warehouse Data Lakes Azure AWS 147

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. Managing spreadsheets is a difficult task for even the most data-savvy professional. 1 Bringing trusted, governed data to spreadsheets is a huge problem solver.

Data Governance 52

Data Governance Database Data Lakes Data Warehouse 52

Smart Data Collective

OCTOBER 17, 2022

Engineering teams, in particular, can quickly get overwhelmed by the abundance of information pertaining to competition data, new product and service releases, market developments, and industry trends, resulting in information anxiety. Explosive data growth can be too much to handle. Data pipeline maintenance.

Big Data 119

Big Data Big Data Data Engineering Data Engineering 119

Data Science Blog

NOVEMBER 15, 2023

The creation of this data model requires the data connection to the source system (e.g. SAP ERP), the extraction of the data and, above all, the data modeling for the event log. They offer consistency and standardization across data structures, improving data accuracy and integrity.

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Data Models Data Modeling Business Intelligence Business Intelligence 245

Alation

FEBRUARY 18, 2021

Alation increases search relevancy with data domains, adds new data governance capabilities, and speeds up time-to-insight with an Open Connector Framework SDK. Categorize data by domain. As a data consumer, sometimes you just want data in a single category. Data quality is essential to data governance.

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Data Governance Data Quality Data Engineering Data Engineering 98

The Data Administration Newsletter

NOVEMBER 14, 2023

Now that “data” is finally having its day, data topics are blooming like jonquils in March. Data management, data governance, data literacy, data strategy, data analytics, data engineering, data mesh, data fabric, data literacy, and don’t forget data littering.

Data Governance 52

Data Governance Data Engineer Data Engineering Data Engineering 52

The Data Administration Newsletter

OCTOBER 17, 2023

Where exactly within an organization does the primary responsibility lie for ensuring that a data pipeline project generates data of high quality, and who exactly holds that responsibility? Who is accountable for ensuring that the data is accurate? Is it the data engineers? The data scientists?

Data Pipeline 52

Data Pipeline Data Quality Data Governance Data Analyst 52

Data Science Blog

MARCH 14, 2023

Von Big Data über Data Science zu AI Einer der Gründe, warum Big Data insbesondere nach der Euphorie wieder aus der Diskussion verschwand, war der Leitspruch “S**t in, s**t out” und die Kernaussage, dass Daten in großen Mengen nicht viel wert seien, wenn die Datenqualität nicht stimme.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

IBM Journey to AI blog

APRIL 20, 2023

This trust depends on an understanding of the data that inform risk models: where does it come from, where is it being used, and what are the ripple effects of a change? Moreover, banks must stay in compliance with industry regulations like BCBS 239, which focus on improving banks’ risk data aggregation and risk reporting capabilities.

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Database Data Engineering Data Engineering Data Engineer 86

Analytics Vidhya

NOVEMBER 21, 2022

This article was published as a part of the Data Science Blogathon. Introduction Currently, most businesses and big-scale companies are generating and storing a large amount of data in their data storage. Many companies are there which are completely data-driven.

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Data Science Analytics Analytics Azure 343

Data Science Blog

MARCH 30, 2023

Unabhängiges und Nachhaltiges Data Engineering Die Arbeit hinter Process Mining kann man sich wie einen Eisberg vorstellen. Die sichtbare Spitze des Eisbergs sind die Reports und Analysen im Process Mining Tool. Das ist der Teil, den die meisten Analysten und sonstigen Benutzer des Tools zu Gesicht bekommen.

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Power BI 147

AWS Machine Learning Blog

OCTOBER 20, 2023

Data and governance foundations – This function uses a data mesh architecture for setting up and operating the data lake, central feature store, and data governance foundations to enable fine-grained data access. About the authors Ram Vittal is a Principal ML Solutions Architect at AWS.

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Analytics Vidhya

FEBRUARY 2, 2023

Introduction Data analytics solutions collect, process, and analyze data to extract insights and make informed business decisions. The need for a data analytics solution arises from the increasing amount of data organizations generate and the need to extract value from that data.

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Analytics Analytics Data Visualization Data Analysis 301

AWS Machine Learning Blog

APRIL 26, 2023

Data engineering – Identifies the data sources, sets up data ingestion and pipelines, and prepares data using Data Wrangler. Data science – The heart of ML EBA and focuses on feature engineering, model training, hyperparameter tuning, and model validation. Monitoring setup (model, data drift).

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ML ML AWS Machine Learning 115

Data Science Dojo

OCTOBER 10, 2023

Data Observability : It emphasizes the concept of data observability, which involves monitoring and managing data systems to ensure reliability and optimal performance. However, in previous iterations of the summit, speakers have included prominent voices in data engineering and analytics.

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AI AI Data Observability Artificial Intelligence 243

Dataversity

SEPTEMBER 28, 2022

Data engineering is a fascinating and fulfilling career – you are at the helm of every business operation that requires data, and as long as users generate data, businesses will always need data engineers. The journey to becoming a successful data engineer […].

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Precisely

SEPTEMBER 26, 2024

Data quality and governance gaps = inaccurate results A lack of data governance and quality can lead to inaccuracies, hallucinations, and AI failures. AI systems require high-quality, well-governed data to avoid missteps.

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AI AI Data Governance Data Quality 75

Data Science Blog

SEPTEMBER 3, 2024

Einfachere Data Governance , denn eine zentrale Datenschicht zwischen den Applikationen erleichtert die Übersicht und die Aussteuerung der Datenzugriffsberechtigung. Reduzierte Personalkosten , sind oft dann gegeben, wenn interne Data Engineers verfügbar sind, die die Datenmodelle intern entwickeln.

Data Science 130

Data Science Power BI Azure Data Warehouse 130

Alation

AUGUST 30, 2022

we are introducing Alation Anywhere, extending data intelligence directly to the tools in your modern data stack, starting with Tableau. We continue to make deep investments in governance, including new capabilities in the Stewardship Workbench, a core part of the Data Governance App. Data governance at scale.

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Data Governance Tableau Data Quality Data Analyst 52