phData

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake? Consistency of data throughout the data lake.

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Pickl AI

APRIL 6, 2023

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

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DataRobot Blog

MARCH 7, 2023

Organizations that want to prove the value of AI by developing, deploying, and managing machine learning models at scale can now do so quickly using the DataRobot AI Platform on Microsoft Azure. This generates reliable business insights and sustains AI-driven value across the enterprise.

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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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ODSC - Open Data Science

MAY 8, 2023

Article on Azure ML by Bethany Jepchumba and Josh Ndemenge of Microsoft In this article, I will cover how you can train a model using Notebooks in Azure Machine Learning Studio. When uploading your data, you specify the Machine Learning type, test, and training data before training. Let us get started!

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Mlearning.ai

JULY 8, 2023

One of them is Azure functions. In this article we’re going to check what is an Azure function and how we can employ it to create a basic extract, transform and load (ETL) pipeline with minimal code. A batch ETL works under a predefined schedule in which the data are processed at specific points in time.

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Tableau

FEBRUARY 17, 2021

Upgrade to take advantage of these new innovations, and learn more about how Tableau brings AI into analytics to help users across your organization answer pressing questions. Enjoy significant Azure connectivity improvements to better optimize Tableau and Azure together for analytics. Microsoft Azure connectivity improvements.

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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. Report: U.S.

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DagsHub

DECEMBER 11, 2023

LakeFS Most big data storage solutions such as Azure, Google cloud storage, and Amazon S3 have good performance, cost-effective, and have good connectivity with other tooling. However, these tools have functional gaps for more advanced data workflows. However, these tools have functional gaps for more advanced data workflows.

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Women in Big Data

NOVEMBER 27, 2024

Snowflake Snowflake is a cloud-based data warehousing platform that offers a highly scalable and efficient architecture designed for performance and ease of use. Strengths : Automatic scaling, support for both structured and semi-structured data, and excellent concurrency for multiple users.

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ODSC - Open Data Science

OCTOBER 25, 2024

At the AI Expo and Demo Hall as part of ODSC West next week, you’ll have the opportunity to meet one-on-one with representatives from industry-leading organizations like Plot.ly, Google, Snowflake, Microsoft, and plenty more. Learn more about the AI Insight Talks below.

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AI AI Data Scientist Data Lakes 52

IBM Journey to AI blog

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. Data fabric: A mostly new architecture.

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Dataconomy

SEPTEMBER 4, 2023

Cloud-based business intelligence (BI): Cloud-based BI tools enable organizations to access and analyze data from cloud-based sources and on-premises databases. Machine learning and AI analytics: Machine learning and AI analytics leverage advanced algorithms to automate the analysis of data, discover hidden patterns, and make predictions.

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ODSC - Open Data Science

APRIL 27, 2023

5 Concerns for ML Safety in the Era of LLMs and Generative AI The growth of large language models and generative AI has spurred new concerns for ML safety and cybersecurity. 5 Data Engineering and Data Science Cloud Options for 2023 AI development is incredibly resource intensive. Register by Friday to save 20%.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Tableau

FEBRUARY 17, 2021

Upgrade to take advantage of these new innovations, and learn more about how Tableau brings AI into analytics to help users across your organization answer pressing questions. Enjoy significant Azure connectivity improvements to better optimize Tableau and Azure together for analytics. Microsoft Azure connectivity improvements.

Tableau 52

Tableau Azure Data Quality ML 52

DagsHub

NOVEMBER 11, 2024

Many find themselves swamped by the volume and complexity of unstructured data. In this article, we’ll explore how AI can transform unstructured data into actionable intelligence, empowering you to make informed decisions, enhance customer experiences, and stay ahead of the competition. What is Unstructured Data?

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AI AI Data Lakes Database 52

ODSC - Open Data Science

FEBRUARY 2, 2023

In the realm of data science, this entails becoming familiar with new frameworks and tools, seeing what’s trending in AI, and being able to adapt to changing business requirements. This pushes into big data as well, as many companies now have significant amounts of data and large data lakes that need analyzing.

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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. Check them out below.

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AI AI Data Science Machine Learning 52

DagsHub

OCTOBER 23, 2024

This article will discuss managing unstructured data for AI and ML projects. You will learn the following: Why unstructured data management is necessary for AI and ML projects. How to properly manage unstructured data. The different tools used in unstructured data management. What is Unstructured Data?

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

The MLOps Blog

JUNE 27, 2023

Microsoft Azure ML Platform The Azure Machine Learning platform provides a collaborative workspace that supports various programming languages and frameworks. Google Cloud Vertex AI Google Cloud Vertex AI provides a unified environment for both automated model development with AutoML and custom model training using popular frameworks.

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Pickl AI

DECEMBER 2, 2024

As organisations grapple with this vast amount of information, understanding the main components of Big Data becomes essential for leveraging its potential effectively. Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets.

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Pickl AI

NOVEMBER 25, 2024

As organisations grapple with this vast amount of information, understanding the main components of Big Data becomes essential for leveraging its potential effectively. Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets.

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Big Data Big Data Data Lakes Apache Hadoop 52

ODSC - Open Data Science

AUGUST 24, 2023

ODSC West’s training passes include hundreds of hours of hands-on sessions and up to 12 months of complimentary access to our Ai+ Training platform. AI Design Studio Global Illumination Acquired by OpenAI New York-based AI start-up Global Illumination was acquired by AI-powered Chatbot ChatGPT maker OpenAI last week.

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Data Lakes Data Science Machine Learning Machine Learning 52

ODSC - Open Data Science

JULY 11, 2023

1] The typical application familiar to readers is much more recent, when AI operates as chatbots, enhancing or at least facilitating the user experience on many websites. Recently, however, conversational AI has taken a giant leap forward. Why Use AI to Learn About Data Centers and How Does It Work?

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ODSC - Open Data Science

JULY 22, 2023

The week was filled with engaging sessions on top topics in data science, innovation in AI, and smiling faces that we haven’t seen in a while. On Wednesday, Henk Boelman, Senior Cloud Advocate at Microsoft, spoke about the current landscape of Microsoft Azure, as well as some interesting use cases and recent developments.

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ODSC - Open Data Science

JUNE 12, 2023

Power BI Datamarts provide no-code/low-code datamart capabilities using Azure SQL Database technology in the background. The Power BI Datamarts support sensitivity labels, endorsement, discovery, and Row-Level Security ( RLS ), which help protect and manage the data according to the business requirements and compliance needs.

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Snorkel AI

OCTOBER 9, 2024

Enterprise IT admins can configure access to features and data at an instance, workspace, or role level by leveraging a ccess control rules. Snorkel automatically provisions those users with locked-down feature & data access to a set of permissioned workspaces. R3 appeared first on Snorkel AI.

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ODSC - Open Data Science

OCTOBER 3, 2024

From October 29th to 31st, we’ve curated a schedule packed with over 150 hands-on workshops and expert-led talks designed to help you sharpen your skills and elevate your role as a data scientist or AI professional. Here’s a guide on how to use three popular ones: Llama, Mistral AI, and Claude. Got an LLM That Needs Some Work?

Data Science 40

Data Science Data Lakes Data Scientist AI 40

Pickl AI

NOVEMBER 4, 2024

Role of Data Engineers in the Data Ecosystem Data Engineers play a crucial role in the data ecosystem by bridging the gap between raw data and actionable insights. They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes.

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Data Engineering Data Engineering Data Engineering Data Engineer 52

ODSC - Open Data Science

JANUARY 18, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. Learn more about the cloud. First, articles.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

JULY 25, 2024

Data Ingestion Meaning At its core, It refers to the act of absorbing data from multiple sources and transporting it to a destination, such as a database, data warehouse, or data lake. Batch Processing In this method, data is collected over a period and then processed in groups or batches.

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Apache Kafka Data Lakes Data Warehouse Data Quality 52

ODSC - Open Data Science

APRIL 3, 2023

Data analysts often must go out and find their data, process it, clean it, and get it ready for analysis. This pushes into Big Data as well, as many companies now have significant amounts of data and large data lakes that need analyzing. Cloud Services: Google Cloud Platform, AWS, Azure.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

O'Reilly Media

OCTOBER 19, 2021

ML use cases rarely dictate the master data management solution, so the ML stack needs to integrate with existing data warehouses. As a commercial product, Databricks provides a managed environment that combines data-centric notebooks with a proprietary production infrastructure.

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ML ML Data Scientist AWS 145

IBM Journey to AI blog

FEBRUARY 2, 2023

This functionality provides access to data by storing it in an open format, increasing flexibility for data exploration and ML modeling used by data scientists, facilitating governed data use of unstructured data, improving collaboration, and reducing data silos with simplified data lake integration.

Data Warehouse 58

Data Warehouse Cloud Data Analytics Analytics 58

Alation

APRIL 14, 2022

Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. The Cloud Data Migration Challenge. Data pipeline orchestration.

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Data Governance ML ML Cloud Data 59

Pickl AI

JULY 6, 2023

Let’s understand the key stages in the data flow process: Data Ingestion Data is fed into Hadoop’s distributed file system (HDFS) or other storage systems supported by Hive, such as Amazon S3 or Azure Data Lake Storage. However, Pig is a preference for expressive data transformations.

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The MLOps Blog

OCTOBER 20, 2023

This typically involves dealing with complexities such as ensuring secure and simple access to internal data warehouses, data lakes, and databases. Some of the most widely adopted tools in this space are Deepnote , Amazon SageMaker , Google Vertex AI , and Azure Machine Learning. Aside neptune.ai

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SQL Database Data Scientist Python 52