Data Science Dojo

FEBRUARY 20, 2023

It allows data scientists to build models that can automate specific tasks. Google Cloud Platform is a great option for businesses that need high-performance computing, such as data science, AI, machine learning, and financial services. It provides a variety of tools for data engineering, including model training and deployment.

Machine Learning 195

Machine Learning Machine Learning AWS Azure 195

Data Science 101

MARCH 7, 2019

In Late January 2019, Microsoft launched 3 new certifications aimed at Data Scientists/Engineers. They launched the Microsoft Professional Program in Data Science back in 2017. Here are details about the 3 certification of interest to data scientists and data engineers. Exam Details.

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Data Science Azure Data Scientist Data Engineer 94

How to Learn Machine Learning

APRIL 26, 2025

The field of data science is now one of the most preferred and lucrative career options available in the area of data because of the increasing dependence on data for decision-making in businesses, which makes the demand for data science hires peak. And Why did it happen?). or What might be the best course of action?

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Data Science Data Analyst Data Scientist Machine Learning 52

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

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

Pickl AI

DECEMBER 25, 2024

Big data platforms such as Apache Hadoop and Spark help handle massive datasets efficiently. Together, these tools enable Data Scientists to tackle a broad spectrum of challenges. Typical Applications in Industries Data Science finds applications across industries. Data Scientists require a robust technical foundation.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Smart Data Collective

NOVEMBER 8, 2020

Data science is an increasingly attractive career path for many people. If you want to become a data scientist, then you should start by looking at the career options available. Northwestern University has a great list of ways that people can pursue a career in data science. Master Data Scripting and Automation.

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Data Engineer Data Engineering Data Engineering Data Engineering 104

ODSC - Open Data Science

MAY 5, 2023

Data science and data engineering are incredibly resource intensive. By using cloud computing, you can easily address a lot of these issues, as many data science cloud options have databases on the cloud that you can access without needing to tinker with your hardware.

Data Science 52

Data Science Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

FEBRUARY 2, 2023

The role of a data scientist is in demand and 2023 will be no exception. To get a better grip on those changes we reviewed over 25,000 data scientist job descriptions from that past year to find out what employers are looking for in 2023. Data Science Of course, a data scientist should know data science!

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Data Science Data Scientist Computer Science Computer Science 98

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?

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Data Engineer Data Engineering Data Engineering Data Engineering 52

ODSC - Open Data Science

DECEMBER 11, 2024

In a recent episode of ODSCs Ai X Podcast , we were privileged to discuss this dynamic area with Tamer Khraisha, a seasoned financial data engineer and author of the recent book Financial Data Engineering. Platforms like Snowflake and Azure are pivotal in this transition, facilitating real-time analytics and data sharing.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Data Science Dojo

MAY 18, 2023

Tutorials Day 2 of the Future of Data and AI conference focused on providing tutorials on several trending technology topics, along with our distinguished speakers sharing their valuable insights. Getting Started with SQL Programming: Are you starting your journey in data science?

Data Science 195

Data Science AI AI SQL 195

phData

MAY 16, 2023

Azure Active Directory (AD) is a popular identity and access management service provided by Microsoft which works well as a Single Sign On (SSO) for the Snowflake Data Cloud. In this blog post, we will guide you through the steps of connecting Azure AD SCIM to Snowflake and provide some tips and tricks for ease of implementation.

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Azure Data Engineering Data Engineering Data Engineer 52

ODSC - Open Data Science

JULY 19, 2023

Machine Learning Operations (MLOps) can significantly accelerate how data scientists and ML engineers meet organizational needs. A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team.

Machine Learning 52

Machine Learning Machine Learning Azure Data Science 52

AWS Machine Learning Blog

SEPTEMBER 20, 2023

We train the model using Amazon SageMaker, store the model artifacts in Amazon Simple Storage Service (Amazon S3), and deploy and run the model in Azure. SageMaker Studio allows data scientists, ML engineers, and data engineers to prepare data, build, train, and deploy ML models on one web interface.

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ML ML Azure AWS 135

phData

JUNE 25, 2024

Snowflake Summit 2024 launched numerous features and enhancements targeted at data scientists’ workflows and developer experience. By adopting more of Snowflake’s functionality for data science, organizations have an opportunity to greatly accelerate AI/ML application development. You might use one every single day.

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ODSC - Open Data Science

MARCH 30, 2023

Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container Using Azure ML to Train a Serengeti Data Model for Animal Identification In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio.

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Azure ML ML Data Modeling 52

Pickl AI

MAY 15, 2024

This guide unlocks the path from Data Analyst to Data Scientist Architect. Utilize cloud-based tools like Amazon S3 for data storage, Amazon SageMaker for model building and deployment, or Azure Machine Learning for a comprehensive managed service.

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Data Analyst Data Scientist Data Science Machine Learning 52

Data Science Dojo

JULY 3, 2024

Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

ODSC - Open Data Science

JANUARY 7, 2025

Heres what we noticed from analyzing this data, highlighting whats remained the same over the years, and what additions help make the modern data scientist in2025. Data Science Of course, a data scientist should know data science! Joking aside, this does infer particular skills.

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Data Scientist Data Science Machine Learning Machine Learning 40

Data Science Dojo

OCTOBER 10, 2023

The speaker is Andrew Madson, a data analytics leader and educator. The event is for anyone interested in learning about generative AI and data storytelling, including business leaders, data scientists, and enthusiasts. Over 10,000 people from all over the world attended the event.

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AI AI Data Observability Artificial Intelligence 243

phData

NOVEMBER 8, 2024

Data Versioning and Time Travel Open Table Formats empower users with time travel capabilities, allowing them to access previous dataset versions. Each snapshot has a separate manifest file that keeps track of the data files associated with that snapshot and hence can be restored/queries whenever needed.

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

ODSC - Open Data Science

APRIL 18, 2023

Mini-Bootcamp and VIP Pass holders will have access to four live virtual sessions on data science fundamentals. Confirmed sessions include: An Introduction to Data Wrangling with SQL with Sheamus McGovern, Software Architect, Data Engineer, and AI expert Programming with Data: Python and Pandas with Daniel Gerlanc, Sr.

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Data Science Data Wrangling Machine Learning Machine Learning 98

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. For example, neptune.ai Check out the Kubeflow documentation.

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Machine Learning Machine Learning ML ML 134

ODSC - Open Data Science

OCTOBER 7, 2024

Google Cloud: Empowers data scientists with scalable AI infrastructure, from training large models to real-time inference using NVIDIA GPUs​ Even before the conference starts, you connect with AI and Google Cloud experts at the upcoming virtual webinar on October 9th with Machine Learning and AI expert Lavi Nigam.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

O'Reilly Media

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. As we’ll see later, cloud certifications (specifically in AWS and Microsoft Azure) were the most popular and appeared to have the largest effect on salaries. But we believe that this data shows something significant.

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AI AI Azure AWS 145

ODSC - Open Data Science

DECEMBER 7, 2023

ML Pros Deep-Dive into Machine Learning Techniques and MLOps Seth Juarez | Principal Program Manager, AI Platform | Microsoft Learn how new, innovative features in Azure machine learning can help you collaborate and streamline the management of thousands of models across teams.

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ODSC - Open Data Science

OCTOBER 17, 2024

Data Engineering Summit The Data Engineering Summit , co-located with ODSC West, is your ticket to optimizing efficiency, enhancing scalability, and successfully tackling the toughest data challenges. Drinks with Data Scientists Unwind after a stimulating day at ODSC with fellow AI and data science enthusiasts!

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Data Engineering Data Engineering Data Engineer Data Engineering 52

IBM Journey to AI blog

AUGUST 12, 2024

Consequently, AIOps is designed to harness data and insight generation capabilities to help organizations manage increasingly complex IT stacks. MLOps platforms are primarily used by data scientists, ML engineers, DevOps teams and ITOps personnel who use them to automate and optimize ML models and get value from AI initiatives faster.

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Big Data Big Data ML ML 106

ODSC - Open Data Science

JUNE 7, 2023

Since data is left in its raw form within the data lake, it’s easier for data teams to experiment with models and analysis techniques with greater flexibility. So let’s take a look at a few of the leading industry examples of data lakes. Snowflake Snowflake is a cross-cloud platform that looks to break down data silos.

Data Lakes 52

Data Lakes Azure Data Warehouse Hadoop 52

Pickl AI

JANUARY 13, 2025

The top 10 AI jobs include Machine Learning Engineer, Data Scientist, and AI Research Scientist. Essential skills for these roles encompass programming, machine learning knowledge, data management, and soft skills like communication and problem-solving. Key Skills Experience with cloud platforms (AWS, Azure).

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AI AI Machine Learning Machine Learning 52

The MLOps Blog

JULY 18, 2024

Ricard’s goal was to streamline this process to make it faster and more cost-effective while easing the workload for data scientists. Experimentation platform: This platform builds on Metaflow for orchestration and data sharing, and uses Comet for ML experiment tracking.

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ML ML Data Scientist Azure 64

The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale.

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Machine Learning Machine Learning Data Scientist ML 69

ODSC - Open Data Science

JANUARY 3, 2025

Ai+ Training provides numerous resources to help data scientists, AI professionals, and enthusiasts excel in their respective fields. These topics range from generative AI and machine learning to data engineering and ethical AI. Its more than just some papers and a playlist on YouTube, and will require hands-on work.

AI 40

AI AI Deep Learning Deep Learning 40

DataSeries

OCTOBER 13, 2024

There has been growing speculation that by 2030, the role of traditional data scientists might face a significant decline or transformation. This prediction is driven by advancements in technology, automation, and shifts in how businesses utilize data. healthcare, finance), rather than generalist data scientists.

Data Science 40

Data Science Data Scientist ML ML 40

phData

AUGUST 6, 2024

What is Snowpark and Why Use It for Building Data Pipelines? The Snowpark API includes the DataFrame API and integrates with other popular open-source APIs developers can use to complete data engineering tasks. to collaborate within a single platform.

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Data Pipeline Python Data Engineering Data Engineering 52

phData

JANUARY 31, 2024

Applying Machine Learning with Snowpark Now that we have our data from the Snowflake Marketplace, it’s time to leverage Snowpark to apply machine learning. Python has long been the favorite programming language of data scientists. The marketplace serves as a source of third-party data to supplement your internal datasets.

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Machine Learning Machine Learning Python Data Scientist 52