ODSC - Open Data Science

FEBRUARY 2, 2023

Computer Science and Computer Engineering Similar to knowing statistics and math, a data scientist should know the fundamentals of computer science as well. While knowing Python, R, and SQL are expected, you’ll need to go beyond that. Big Data As datasets become larger and more complex, knowing how to work with them will be key.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

ODSC - Open Data Science

DECEMBER 5, 2023

We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and of course, plenty related to large language models and generative AI. You can see our photos from the event here , and be sure to follow our YouTube for virtual highlights from the conference as well.

Data Science 98

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 98

phData

FEBRUARY 14, 2023

If using a network policy with Snowflake, be sure to add Fivetran’s IP address list , which will ensure Azure Data Factory (ADF) Azure Data Factory is a fully managed, serverless data integration service built by Microsoft. Source data formats can only be Parquer, JSON, or Delimited Text (CSV, TSV, etc.).

Data Warehouse 59

Data Warehouse Azure AWS Database 59

phData

SEPTEMBER 5, 2023

In this step-by-step guide, we will walk you through setting up a data ingestion pipeline using Azure Data Factory (ADF), Google BigQuery, and the Snowflake Data Cloud. By the end of this tutorial, you’ll have a seamless pipeline that fetches and syncs your GA4 raw events data to Snowflake efficiently.

Azure 52

Azure Analytics Analytics Data Pipeline 52

O'Reilly Media

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. As we’ll see later, cloud certifications (specifically in AWS and Microsoft Azure) were the most popular and appeared to have the largest effect on salaries. Many respondents acquired certifications. What about Kafka?

AI 145

AI AI Azure AWS 145

The MLOps Blog

JANUARY 23, 2023

Dolt LakeFS Delta Lake Pachyderm Git-like versioning Database tool Data lake Data pipelines Experiment tracking Integration with cloud platforms Integrations with ML tools Examples of data version control tools in ML DVC Data Version Control DVC is a version control system for data and machine learning teams.

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. Data warehousing is a vital constituent of any business intelligence operation. What does Snowflake do?

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

phData

AUGUST 17, 2023

Data pipeline orchestration tools are designed to automate and manage the execution of data pipelines. These tools help streamline and schedule data movement and processing tasks, ensuring efficient and reliable data flow. What are Orchestration Tools?

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

phData

MAY 25, 2023

One big issue that contributes to this resistance is that although Snowflake is a great cloud data warehousing platform, Microsoft has a data warehousing tool of its own called Synapse. 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

Smart Data Collective

SEPTEMBER 8, 2021

A lot of Open-Source ETL tools house a graphical interface for executing and designing Data Pipelines. It can be used to manipulate, store, and analyze data of any structure. It generates Java code for the Data Pipelines instead of running Pipeline configurations through an ETL Engine. Conclusion.

ETL 94

ETL Hadoop Data Warehouse Data Pipeline 94

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.

Clustering 98

Clustering Database SQL Data Pipeline 98

phData

AUGUST 4, 2023

The shared-nothing architecture ensures that users don’t have to worry about distributing data across multiple cluster nodes. Snowflake hides user data objects and makes them accessible only through SQL queries through the compute layer. This includes tasks such as data cleansing, enrichment, and aggregation.

Database 52

Database Azure SQL AWS 52

DagsHub

APRIL 21, 2024

Microsoft Azure ML Provided by Microsoft , Azure Machine Learning (ML) is a cloud-based machine learning platform that enables data scientists and developers to build, train, and deploy machine learning models at scale. compute instances, storage) used to run Airflow and store workflow data.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

phData

JANUARY 31, 2024

With Snowflake’s acquisition of Streamlit in 2022, Streamlit applications are now able to be hosted within your Snowflake environment, eliminating the need for extensive knowledge of Docker, Kubernetes, cloud platforms like AWS, GCP, or Azure, authentication and authorization patterns, etc.,

Machine Learning 52

Machine Learning Machine Learning Python Data Scientist 52

DagsHub

DECEMBER 11, 2023

It does not support the ‘dvc repro’ command to reproduce its data pipeline. DVC Released in 2017, Data Version Control ( DVC for short) is an open-source tool created by iterative. Dolt Created in 2019, Dolt is an open-source tool for managing SQL databases that uses version control similar to Git.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Database 98

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. It could help you detect and prevent data pipeline failures, data drift, and anomalies. Flyte Flyte is a platform for orchestrating ML pipelines at scale.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

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. Data pipeline orchestration.

Data Governance 59

Data Governance ML ML Cloud Data 59

Mlearning.ai

JUNE 16, 2023

Generative AI can be used to automate the data modeling process by generating entity-relationship diagrams or other types of data models and assist in UI design process by generating wireframes or high-fidelity mockups. There is a VSCode Extension that enables its integration into traditional development pipelines.

AI 52

AI AI Data Analysis Data Analysis 52

phData

JULY 18, 2023

Support for Numerous Data Sources: Fivetran supports over 200 data sources, including popular databases, applications, and cloud platforms like Salesforce, Google Analytics, SQL Server, Snowflake, and many more. Additionally, unsupported data sources can be integrated using Fivetran’s cloud function connectors.

Data Warehouse 52

Data Warehouse SQL Cloud Data Analytics 52

The MLOps Blog

MARCH 21, 2023

I have worked with customers where R and SQL were the first-class languages of their data science community. You don’t need a bigger boat : The repository curated by Jacopo Tagliabue shows how several (mostly open-source) tools can be effectively combined together to run data pipelines at scale with very small teams.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69