ODSC - Open Data Science

JUNE 7, 2023

To make your data management processes easier, here’s a primer on data lakes, and our picks for a few data lake vendors worth considering. What is a data lake? First, a data lake is a centralized repository that allows users or an organization to store and analyze large volumes of data.

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The MLOps Blog

JANUARY 23, 2023

These tools may have their own versioning system, which can be difficult to integrate with a broader data version control system. For instance, our data lake could contain a variety of relational and non-relational databases, files in different formats, and data stored using different cloud providers. DVC Git LFS neptune.ai

ML 52

ML ML Data Lakes 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. Entrust your project to our experts, and we’ll identify your unique path to advanced and profitable data operations.

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Data Warehouse Business Intelligence Business Intelligence Database 52

The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows.

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Machine Learning Machine Learning ML ML 134

DagsHub

DECEMBER 11, 2023

A complete overview revealing a diverse range of strengths and weaknesses for each data versioning tool. 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.

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ODSC - Open Data Science

APRIL 27, 2023

5 Data Engineering and Data Science Cloud Options for 2023 AI development is incredibly resource intensive. As such, here are a few data science cloud options to help you handle some work virtually. Announcing the ODSC East 2023 Keynote Speakers We’re thrilled to announce the ODSC East 2023 Keynote speakers!

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

JULY 11, 2023

Co-location data centers: These are data centers that are owned and operated by third-party providers and are used to house the IT equipment of multiple organizations. Edge data centers: These are data centers that are located closer to the edge of the network, where data is generated and consumed, rather than in central locations.

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Data Lakes AI AI Cloud Computing 40

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.

Azure 59

Azure Machine Learning Machine Learning AI 59

phData

SEPTEMBER 20, 2023

A data mesh is a conceptual architectural approach for managing data in large organizations. Traditional data management approaches often involve centralizing data in a data warehouse or data lake, leading to challenges like data silos, data ownership issues, and data access and processing bottlenecks.

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Data Silos Database Data Quality Data Engineering 52

phData

DECEMBER 4, 2023

The software you might use OAuth with includes: Tableau Power BI Sigma Computing If so, you will need an OAuth provider like Okta, Microsoft Azure AD, Ping Identity PingFederate, or a Custom OAuth 2.0 When to use SCIM vs phData's Provision Tool SCIM manages users and groups with Azure Active Directory or Okta. authorization server.

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Clustering Database SQL Data Pipeline 98

The MLOps Blog

OCTOBER 20, 2023

But it has been sunset by its original creator in April 2023, who recommends switching to JupySQL , which is an actively maintained fork. This typically involves dealing with complexities such as ensuring secure and simple access to internal data warehouses, data lakes, and databases. Aside neptune.ai

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SQL Database Data Scientist Python 52

The MLOps Blog

MARCH 21, 2023

Solution Data lakes and warehouses are the two key components of any data pipeline. The data lake is a platform where any kind or amount of data can be stored, processed, and analyzed. Data engineers are mostly in charge of it. Data Lake Vs. Feature Store.

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Machine Learning Machine Learning Data Scientist ML 69