ODSC - Open Data Science

JUNE 1, 2023

Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East Highlights Getting Up to Speed on Real-Time Machine Learning with Spark and SBERT Learn more about real-time machine learning by using this approach that uses Apache Spark and SBERT. Well, these libraries will give you a solid start.

Data Lakes 52

Data Lakes ML ML Citizen Data Scientist 52

phData

NOVEMBER 8, 2024

Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. FAQs What is a Data Lakehouse?

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

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.

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

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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Azure Data Engineering Data Engineering Data Engineering 52

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. DataRobot is available on Azure as an AI Platform Single-Tenant SaaS, eliminating the time and cost of an on-premises implementation.

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Azure Machine Learning Machine Learning AI 59

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!

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Tableau

FEBRUARY 17, 2021

Enjoy significant Azure connectivity improvements to better optimize Tableau and Azure together for analytics. This offers everyone from data scientists to advanced analysts to business users an intuitive, no-code environment that empowers quick and confident decisions guided by ethical, transparent AI.

Tableau 102

Tableau Azure Data Quality ML 102

Data Science Dojo

SEPTEMBER 10, 2024

Additionally, Azure Machine Learning enables the operationalization and management of large language models, providing a robust platform for developing and deploying AI solutions. Strategic Collaboration with OpenAI Microsoft’s partnership with OpenAI is one of the most significant in the AI industry.

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Machine Learning Machine Learning Natural Language Processing ML 369

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.

Azure 52

Azure ML ML Data Modeling 52

DagsHub

DECEMBER 11, 2023

DagsHub DagsHub is a centralized Github-based platform that allows Machine Learning and Data Science teams to build, manage and collaborate on their projects. In addition to versioning code, teams can also version data, models, experiments and more. However, these tools have functional gaps for more advanced data workflows.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Database 98

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. They are often built by data scientists who are not software engineers or computer science majors by training. Data Science Layers. Software Architecture.

ML 145

ML ML Data Scientist AWS 145

Pickl AI

APRIL 21, 2025

This crucial step involves handling missing values, correcting errors (addressing Veracity issues from Big Data), transforming data into a usable format, and structuring it for analysis. This often takes up a significant chunk of a data scientist’s time. It turns the raw ocean of data into actionable intelligence.

Big Data 52

Big Data Big Data Data Science Machine Learning 52

The MLOps Blog

JUNE 27, 2023

Some popular end-to-end MLOps platforms in 2023 Amazon SageMaker Amazon SageMaker provides a unified interface for data preprocessing, model training, and experimentation, allowing data scientists to collaborate and share code easily. Check out the Kubeflow documentation.

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Machine Learning Machine Learning ML ML 134

Dataconomy

SEPTEMBER 4, 2023

Data integration: Integrate data from various sources into a centralized cloud data warehouse or data lake. Ensure that data is clean, consistent, and up-to-date. Use ETL (Extract, Transform, Load) processes or data integration tools to streamline data ingestion.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

ODSC - Open Data Science

OCTOBER 25, 2024

Delphina Demo: AI-powered Data Scientist Jeremy Hermann | Co-founder at Delphina | Delphina.Ai In this demo, you’ll see how Delphina’s AI-powered “junior” data scientist can transform the data science workflow, automating labor-intensive tasks like data discovery, transformation, and model building.

AI 52

AI AI Data Scientist Data Lakes 52

Tableau

FEBRUARY 17, 2021

Enjoy significant Azure connectivity improvements to better optimize Tableau and Azure together for analytics. This offers everyone from data scientists to advanced analysts to business users an intuitive, no-code environment that empowers quick and confident decisions guided by ethical, transparent AI.

Tableau 52

Tableau Azure Data Quality ML 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. The good news is that there are many skills that data scientists already have that are transferable to data engineering.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

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.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

The MLOps Blog

JANUARY 23, 2023

When it comes to data complexity, it is for sure that in machine learning, we are dealing with much more complex data. First of all, machine learning engineers and data scientists often use data from different data vendors. Some data sets are being corrected by data entry specialists and manual inspectors.

ML 52

ML ML Data Lakes Machine Learning 52

ODSC - Open Data Science

AUGUST 24, 2023

In this upcoming livestream interview, we’ll chat with Adam Ross Nelson, data science career coach, about the skills needed to get a job in AI and what steps you can do today to hit your career goals. In addition, we’ll discuss a variety of tools that form the modern LLM application development stack.

Data Lakes 52

Data Lakes Data Science Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 4, 2024

They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes. Their work ensures that data flows seamlessly through the organisation, making it easier for Data Scientists and Analysts to access and analyse information.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

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. Industry, Opinion, Career Advice AI for Robotics and Autonomy with Francis X.

Data Science 40

Data Science Data Lakes Data Scientist AI 40

AWS Machine Learning Blog

SEPTEMBER 12, 2024

We’re empowering data scientists, ML engineers, and other builders with new capabilities that make generative AI development faster, easier, more secure, and less costly. In fact, 96 percent of all AI/ML unicorns—and 90 percent of the 2024 Forbes AI 50—are AWS customers. Baskar earned a Ph.D.

AWS 101

AWS AI AI Clustering 101

ODSC - Open Data Science

APRIL 3, 2023

This pushes into Big Data as well, as many companies now have significant amounts of data and large data lakes that need analyzing. While there’s a need for analyzing smaller datasets on your laptop, expanding into TB+ datasets requires a whole new set of skills and data analytics frameworks.

Analytics 52

Analytics Analytics Data Analyst Data Science 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.

AI 52

AI AI Data Science Machine Learning 52

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.

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Data Warehouse Cloud Data Analytics Analytics 58

ODSC - Open Data Science

JULY 11, 2023

If you are a data scientist, manager, or executive with limited time and funds, wondering whether/how to invest in data centers and what the pros, cons, and costs would be, chances are you will start from a similar place as I — having some knowledge then looking for more, be that from humans, machines, or both.

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

The MLOps Blog

OCTOBER 20, 2023

Jupyter notebooks have been one of the most controversial tools in the data science community. Nevertheless, many data scientists will agree that they can be really valuable – if used well. Data on its own is not sufficient for a cohesive story. There are some outspoken critics , as well as passionate fans.

SQL 52

SQL Database Data Scientist Python 52

Alation

APRIL 14, 2022

This two-part series will explore how data discovery, fragmented data governance , ongoing data drift, and the need for ML explainability can all be overcome with a data catalog for accurate data and metadata record keeping. The Cloud Data Migration Challenge. Support for languages and SQL. Model Drift.

Data Governance 59

Data Governance ML ML Cloud Data 59

Pickl AI

JULY 6, 2023

Thus, making it easier for analysts and data scientists to leverage their SQL skills for Big Data analysis. It applies the data structure during querying rather than data ingestion. Processing of Data Once the data is stored, Hive provides a metadata layer allowing users to define the schema and create tables.

Hadoop 52

Hadoop SQL Big Data Big Data 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. Use Multiple Data Models With on-premise data warehouses, storing multiple copies of data can be too expensive.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

The MLOps Blog

MAY 17, 2023

ETL pipeline | Source: Author These activities involve extracting data from one system, transforming it, and then processing it into another target system where it can be stored and managed. ML heavily relies on ETL pipelines as the accuracy and effectiveness of a model are directly impacted by the quality of the training data.

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ETL Data Pipeline ML ML 59

Alation

AUGUST 2, 2022

Customer centricity requires modernized data and IT infrastructures. Too often, companies manage data in spreadsheets or individual databases. This means that you’re likely missing valuable insights that could be gleaned from data lakes and data analytics. 75% faster onboarding of analysts and data scientists.

Data Silos 52

Data Silos Data Lakes Data Analyst Data Scientist 52

phData

SEPTEMBER 27, 2024

Both persistent staging and data lakes involve storing large amounts of raw data. But persistent staging is typically more structured and integrated into your overall customer data pipeline. With Snowflake’s support for Iceberg: You can query Iceberg tables stored in your cloud storage (S3, Azure Blob, etc.)

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Data Modeling Data Models Apache Kafka Data Lakes 52