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 Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

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 Engineering Data Engineer Data Engineering 52

Smart Data Collective

NOVEMBER 8, 2020

This explains the current surge in demand for data engineers, especially in data-driven companies. That said, if you are determined to be a data engineer , getting to know about big data and careers in big data comes in handy. Similarly, various tools used in data engineering revolve around Scala.

Data Engineer 104

Data Engineer Data Engineering Data Engineering Data Engineering 104

Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. What is Azure?

Azure 52

Azure Data Scientist Data Science Machine Learning 52

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 Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Data Science Blog

JUNE 21, 2023

Cloud-Based infrastructure with process mining? Depending on the data strategy of one organization, one cost-effective approach to process mining could be to leverage cloud computing resources. By utilizing these services, organizations can store large volumes of event data without incurring substantial expenses.

Big Data 130

Big Data Big Data Data Engineering Data Engineering 130

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. DATANOMIQ Data Mesh Cloud Architecture – This image is animated! Click to enlarge!

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon. Knowledge is power. Sharing knowledge is the key to unlocking that power.”―

Data Science 345

Data Science Analytics Analytics Apache Hadoop 345

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.

Data Science 343

Data Science Analytics Analytics Azure 343

ODSC - Open Data Science

FEBRUARY 17, 2023

Computer science, math, statistics, programming, and software development are all skills required in NLP projects. Cloud Computing, APIs, and Data Engineering NLP experts don’t go straight into conducting sentiment analysis on their personal laptops. Google Cloud is starting to make a name for itself as well.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Analytics Vidhya

NOVEMBER 23, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data lineage is the process of analyzing the path of the data and how it is involved in different methods with time. Many businesses and companies use it to get an idea of the source, data pathway, and how the data is […].

Data Science 336

Data Science Analytics Analytics Azure 336

Analytics Vidhya

JANUARY 8, 2023

Hey, are you the data science geek who spends hours coding, learning a new language, or just exploring new avenues of data science? The post Data Science Blogathon 28th Edition appeared first on Analytics Vidhya. If all of these describe you, then this Blogathon announcement is for you!

Data Science 328

Data Science Analytics Analytics Hadoop 328

Analytics Vidhya

JANUARY 30, 2023

Introduction Data has become an essential part of our daily lives in today’s digital age. From searching for a product on e-commerce platforms to placing an order and receiving it at home, we are constantly generating and consuming data.

Analytics 306

Analytics Analytics Azure Data Engineering 306

Analytics Vidhya

FEBRUARY 3, 2022

This article was published as a part of the Data Science Blogathon. In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Deep learning, natural language processing, and computer vision are examples […].

Data Science 319

Data Science Natural Language Processing Deep Learning Deep Learning 319

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

phData

MAY 25, 2023

Snowflake is a cloud computing–based data cloud company that provides data warehousing services that are far more scalable and flexible than traditional data warehousing products. In a perfect world, Microsoft would have clients push even more storage and compute to its Azure Synapse platform.

Power BI 84

Power BI Analytics Analytics Azure 84

phData

FEBRUARY 21, 2025

In this post, we will be particularly interested in the impact that cloud computing left on the modern data warehouse. We will explore the different options for data warehousing and how you can leverage this information to make the right decisions for your organization.

Data Warehouse 52

Data Warehouse Cloud Data ETL Cloud Computing 52

Analytics Vidhya

FEBRUARY 25, 2023

Introduction A data lake is a centralized and scalable repository storing structured and unstructured data. The need for a data lake arises from the growing volume, variety, and velocity of data companies need to manage and analyze.

Data Lakes 178

Data Lakes Analytics Analytics Data Warehouse 178

Pickl AI

JANUARY 13, 2025

Key Skills Experience with cloud platforms (AWS, Azure). Robotics Engineer Robotics Engineers develop robotic systems that can perform tasks autonomously or semi-autonomously. Proficiency in Data Analysis tools for market research. They ensure that data is accessible for analysis by data scientists and analysts.

AI 52

AI AI Machine Learning Machine Learning 52

Mlearning.ai

FEBRUARY 16, 2023

The platform enables quick, flexible, and convenient options for storing, processing, and analyzing data. The solution was built on top of Amazon Web Services and is now available on Google Cloud and Microsoft Azure. Therefore, the tool is referred to as cloud-agnostic. What does Snowflake do?

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

DataSeries

OCTOBER 13, 2024

Automation of Data Science Tasks By 2030, advancements in Artificial Intelligence (AI) and Automated Machine Learning (AutoML) are expected to automate several routine data science tasks like data cleaning, feature engineering, and model selection. healthcare, finance), rather than generalist data scientists.

Data Science 40

Data Science Data Scientist ML ML 40

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

JULY 25, 2023

There is no one size fits all approach to data strategy cost. An online business involves the use of cloud computing and storage platforms. That’s where most of your budget goes when implementing your data strategy. Cloud Storage Platforms There are multiple cloud storage platforms available for your business.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

phData

JULY 25, 2023

There is no one size fits all approach to data strategy cost. An online business involves the use of cloud computing and storage platforms. That’s where most of your budget goes when implementing your data strategy. Cloud Storage Platforms There are multiple cloud storage platforms available for your business.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

MAY 15, 2024

You can adopt these strategies as well as focus on continuous learning to upscale your knowledge and skill set. Leverage Cloud Platforms Cloud platforms like AWS, Azure, and GCP offer a suite of scalable and flexible services for data storage, processing, and model deployment.

Data Analyst 52

Data Analyst Data Scientist Data Science Machine Learning 52

O'Reilly Media

NOVEMBER 26, 2024

Entirely new paradigms rise quickly: cloud computing, data engineering, machine learning engineering, mobile development, and large language models. To further complicate things, topics like cloud computing, software operations, and even AI don’t fit nicely within a university IT department.

Cloud Computing 108

Cloud Computing AWS Azure Machine Learning 108