Data Science 101

FEBRUARY 15, 2020

It involves solving a data puzzle using Big Query. Azure Cognitive Services Named Entity Recognition gets some new types Persontype, product, event, organization, date are just some of them Amazon Aurora PostgreSQL Supports Machine Learning Aurora PostgreSQL can now use SQL to call ML models created with SageMaker.

Cloud Data 112

Cloud Data Data Science Deep Learning Deep Learning 112

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?

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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 Engineer 52

Data Engineer Data Engineering 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

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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

FEBRUARY 6, 2024

Data engineering has become an integral part of the modern tech landscape, driving advancements and efficiencies across industries. So let’s explore the world of open-source tools for data engineers, shedding light on how these resources are shaping the future of data handling, processing, and visualization.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Data Science Blog

JUNE 21, 2023

Depending on the data strategy of one organization, one cost-effective approach to process mining could be to leverage cloud computing resources. Cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), provide scalable and flexible infrastructure options.

Big Data 130

Big Data Big Data Data Engineer Data Engineering 130

ODSC - Open Data Science

OCTOBER 17, 2024

Come for the hands-on AI deep dives, but stay for the immersive events! 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. Check them out below!

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Dataconomy

JUNE 1, 2023

Here are compelling reasons why your business should consider using Microsoft Fabric: Unified data platform : Microsoft Fabric provides a comprehensive end-to-end platform for data and analytics workloads. This streamlined approach eliminates the need for separate solutions and simplifies data management. Of course not!

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Power BI Data Lakes Azure Data Silos 194

ODSC - Open Data Science

FEBRUARY 10, 2023

Faster Training and Inference Using the Azure Container for PyTorch in Azure ML If you’ve ever wished that you could speed up the training of a large PyTorch model, then this post is for you. In this post, we’ll cover the basics of this new environment, and we’ll show you how you can use it within your Azure ML project.

Azure 52

Azure ML ML Data Mining 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

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

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. Interested in attending an ODSC event?

Data Science 98

Data Science Data Wrangling Machine Learning Machine Learning 98

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. Data characteristics and preprocessing AIOps tools handle a range of data sources and types, including system logs, performance metrics, network data and application events.

Big Data 106

Big Data Big Data ML ML 106

DataRobot Blog

OCTOBER 3, 2017

Enterprise data architects, data engineers, and business leaders from around the globe gathered in New York last week for the 3-day Strata Data Conference , which featured new technologies, innovations, and many collaborative ideas. Industry’s first self-service information platform for Microsoft Azure. free trial.

Data Lakes 52

Data Lakes Azure Data Pipeline Hadoop 52

ODSC - Open Data Science

OCTOBER 14, 2023

The AI Expo and Demo Hall At the AI Expo and Demo Hall you’ll have the opportunity to connect one-on-one with representatives from industry-leading organizations in MLOps, Machine Learning, NLP, Time Series Data, and much more. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

Data Science 52

Data Science Machine Learning Machine Learning ML 52

phData

FEBRUARY 14, 2023

What Are the Best Third-Party Data Ingestion Tools for Snowflake? Fivetran Fivetran is a tool dedicated to replicating applications, databases, events, and files into a high-performance data warehouse, such as Snowflake. Tips When Considering ADF: ADF will only write to Snowflake accounts that are based in Azure.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

ODSC - Open Data Science

OCTOBER 7, 2024

Kaggle Grandmaster Jiwei Liu and NVIDIA experts will answer all your questions about the upcoming event. HPCC Systems : Built for data engineers, HPCC provides an open-source platform designed for fast and efficient big data processing.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

ODSC - Open Data Science

MARCH 10, 2023

Video of the Week: Getting Into Data Engineering In this video, Joe Reis CEO of Ternary Data provides valuable insights on navigating the current economic climate and what it means for aspiring data engineers. Don’t let old market data point you in the wrong direction. Check out a few of them below.

Machine Learning 52

Machine Learning Machine Learning Data Science AI 52

ODSC - Open Data Science

OCTOBER 20, 2023

At the AI Expo and Demo Hall as part of ODSC West in a few weeks, you’ll have the opportunity to meet one-on-one with representatives from industry-leading organizations like Microsoft Azure, Hewlett Packard, Iguazio, neo4j, Tangent Works, Qwak, Cloudera, and others. Interested in attending an ODSC event?

AI 52

AI AI Data Science Machine Learning 52

The MLOps Blog

FEBRUARY 5, 2023

In the later part of this article, we will discuss its importance and how we can use machine learning for streaming data analysis with the help of a hands-on example. What is streaming data? This will also help us observe the importance of stream data. It can be used to collect, store, and process streaming data in real-time.

Machine Learning 72

Machine Learning Machine Learning Data Pipeline Apache Kafka 72

DataRobot

SEPTEMBER 14, 2021

AI Cloud brings together any type of data, from any source, giving you a unique, global view of insights that drive your business. All of this is part of a unified, integrated platform spanning data engineering, machine learning, decision intelligence, and continuous AI – the entire AI lifecycle. AI Cloud Launch Event.

AI 52

AI AI Data Scientist Machine Learning 52

phData

JULY 16, 2024

But…it’s actually more like a journey than an event. Aside from meeting my fellow new hires, I was also able to verify if I was set up correctly in Azure, Google, AWS, and the Snowflake AI Data Cloud. I learned so much about Snowflake, which has already made me a better data engineer.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 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.

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Machine Learning Machine Learning ML ML 134

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. Each model carries its specific benefits and allows for reloading and reprocessing of data in the event of errors.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

ODSC - Open Data Science

JANUARY 29, 2024

Using skills such as statistical analysis and data visualization techniques, prompt engineers can assess the effectiveness of different prompts and understand patterns in the responses. You can also get data science training on-demand wherever you are with our Ai+ Training platform. Interested in attending an ODSC event?

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

ODSC - Open Data Science

OCTOBER 3, 2024

Building Scalable AI Pipelines with MLOps: A Guide for Software Engineers Let’s explore using MLOps for software engineers, such as how they can address common issues, enabling scalable and efficient AI development pipelines. Industry, Opinion, Career Advice AI for Robotics and Autonomy with Francis X.

Data Science 40

Data Science Data Lakes Data Scientist AI 40

ODSC - Open Data Science

JANUARY 7, 2025

Scala is worth knowing if youre looking to branch into data engineering and working with big data more as its helpful for scaling applications. Knowing all three frameworks covers the most ground for aspiring data science professionals, so you cover plenty of ground knowing thisgroup.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

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

NOVEMBER 8, 2023

Though we frequently hear news stories where somebody was able to get unauthorized access to an enterprise’s data, there are safeguards you can put in place to prevent this scenario. Most commonly, you’re going to be using an external identity provider such as Okta, ADFS, or Azure Active Directory. Updating user attributes.

SQL 52

SQL Azure Data Engineering Data Engineering 52

Data Science Dojo

MARCH 9, 2023

Data Science Dojo is offering Memphis broker for FREE on Azure Marketplace preconfigured with Memphis, a platform that provides a P2P architecture, scalability, storage tiering, fault-tolerance, and security to provide real-time processing for modern applications suitable for large volumes of data.

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The MLOps Blog

MARCH 21, 2023

Other users Some other users you may encounter include: Data engineers , if the data platform is not particularly separate from the ML platform. Analytics engineers and data analysts , if you need to integrate third-party business intelligence tools and the data platform, is not separate. Allegro.io

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

Data Science Blog

SEPTEMBER 3, 2024

Dabei darf gerne in Erinnerung gerufen werden, dass Process Mining im Kern eine Graphenanalyse ist, die ein Event Log in Graphen umwandelt, Aktivitäten (Events) stellen dabei die Knoten und die Prozesszeiten die Kanten dar, zumindest ist das grundsätzlich so. Es handelt sich dabei also um eine Analysemethodik und nicht um ein Tool.

Data Science 130

Data Science Power BI Azure Data Warehouse 130

phData

OCTOBER 28, 2024

Modern low-code/no-code ETL tools allow data engineers and analysts to build pipelines seamlessly using a drag-and-drop and configure approach with minimal coding. In this blog, we will describe 10 such Python Scripts that can provide a blueprint for using the Python component efficiently in Matillion ETL for Snowflake AI Data Cloud.

Python 52

Python ETL AWS Database 52

phData

SEPTEMBER 27, 2024

Methods that allow our customer data models to be as dynamic and flexible as the customers they represent. In this guide, we will explore concepts like transitional modeling for customer profiles, the power of event logs for customer behavior, persistent staging for raw customer data, real-time customer data capture, and much more.

Data Models 52

Data Models Data Modeling Apache Kafka Data Lakes 52

Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Learning these tools is crucial for building scalable data pipelines. Thats where data engineering tools come in!

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

ODSC - Open Data Science

MARCH 20, 2025

ODSC Highlights Exploring Open-Source Innovations: 13 Companies Offering Cutting-Edge Solutions These companies offer unique open-source AI solutions covering everything from data visualization to AI-powered data labeling andmore. See the full schedulehere! What Can You Do With a Free ODSC East ExpoPass? Register by Friday for 30%off!

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