phData

MAY 25, 2023

In a perfect world, Microsoft would have clients push even more storage and compute to its Azure Synapse platform. Snowflake was originally launched in October 2014, but it wasn’t until 2018 that Snowflake became available on Azure. This ensures the maximum amount of Snowflake consumption possible.

Power BI 84

Power BI Analytics Analytics Azure 84

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. The AWS P5 EC2 instance type range is based on the NVIDIA H100 chip, which uses the Hopper architecture. In November 2023, AWS announced the next generation Trainium2 chip.

AWS 98

AWS ML ML Clustering 98

IBM Journey to AI blog

JANUARY 10, 2023

This data will be analyzed using Netezza SQL and Python code to determine if the flight delays for the first half of 2022 have increased over flight delays compared to earlier periods of time within the current data (January 2019 – December 2021). Figure 5 – Bar graph of current flight delay data (2019 – June 2022).

Data Warehouse 52

Data Warehouse Data Analysis Data Analysis SQL 52

AWS Machine Learning Blog

MAY 18, 2023

An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies. Basic knowledge of AWS. To learn more about AWS Secrets Manger , refer to Getting started with Secrets Manager. For this post, AWS getting started documents are added to the SharePoint data source.

AWS 91

AWS Database ML ML 91

Mlearning.ai

JUNE 14, 2023

YouTube Introduction to Sequence Learning and Attention Mechanisms Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 8 — Translation, Seq2Seq, Attention — YouTube Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 7 — Translation, Seq2Seq, Attention — YouTube 2.

Natural Language Processing 52

Natural Language Processing ML ML Support Vector Machines 52

phData

NOVEMBER 8, 2024

Cost Efficiency and Scalability Open Table Formats are designed to work with cloud storage solutions like Amazon S3, Google Cloud Storage, and Azure Blob Storage, enabling cost-effective and scalable storage solutions. 2019 - Delta Lake Databricks released Delta Lake as an open-source project.

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

Dataconomy

SEPTEMBER 4, 2023

For example, the 2019 Capital One breach exposed over 100 million customer records, highlighting the need for robust security measures. Downtime, like the AWS outage in 2017 that affected several high-profile websites, can disrupt business operations. Data catalog: Implement a data catalog to organize and catalog your data assets.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

ODSC - Open Data Science

FEBRUARY 17, 2023

BERT is still very popular over the past few years and even though the last update from Google was in late 2019 it is still widely deployed. AWS Cloud, Azure Cloud, and others are all compatible with many other frameworks and languages, making them necessary for any NLP skill set.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

phData

JANUARY 31, 2024

Streamlit, an open-source Python package for building web-apps, has grown in popularity since its launch in 2019. Utilizing Streamlit as a Front-End At this point, we have all of our data processing, model training, inference, and model evaluation steps set up with Snowpark. Let’s continue by creating a front-end to enable analysts.

Machine Learning 52

Machine Learning Machine Learning Python Data Scientist 52

Alation

NOVEMBER 15, 2021

In 2019 the EDM Council decided that a new extension for managing sensitive data in the cloud was required, so they created the Cloud Data Management Capability (CDMC) working group. The Snowflake data sources were multi-cloud (Azure, AWS, GCP) running in different regions around the world. Approach & Deliverables.

Cloud Data 52

Cloud Data Azure Tableau Analytics 52

The MLOps Blog

MARCH 20, 2023

Tools such as AWS S3, Google Cloud Storage, and Microsoft Azure offer robust recovery solutions allowing data snapshots to be recovered at a specific time. Read more How to Version and Compare Datasets in neptune.ai Features / Considerations DVC MLflow Databricks Weights & Biases DagsHub neptune.ai Data Management at Scale.

ML 59

ML ML Machine Learning Machine Learning 59

Alation

SEPTEMBER 30, 2022

Compare that to the 108 that earned the status in all of 2020 (and the 439 total up to 2019), and you can see why the title has lost its sparkle. In 2021, SaaS multiples hit all-time highs, with 520 new companies becoming unicorns that year alone. We focus on what we do best and our partners focus on what they do best.

Data Governance 92

Data Governance Azure SQL Data Quality 92

Mlearning.ai

JANUARY 26, 2023

BUILDING EARTH OBSERVATION DATA CUBES ON AWS. AWS , GCP , Azure , CreoDIAS , for example, are not open-source, nor are they “standard”. Big ones can: AWS is benefiting a lot from these concepts. Some introductory papers you might want to consider reading include: Appel, M., & Pebesma, E. Data, 4(3), 92. Ferreira, K.

AWS 98

AWS Database Clean Data Data Science 98

Alation

FEBRUARY 8, 2022

Zhamak Dehghani of Thoughtworks defined data mesh in 2019, tying it to domain-driven design and calling upon data users to “embrace the reality of ever present, ubiquitous and distributed nature of data.”. Examples include public cloud vendors like AWS, Azure, and GCP. Addresses networking, storage, access control.

Data Governance 52

Data Governance Data Engineering Data Engineering Data Engineer 52

Data Science 101

DECEMBER 6, 2019

This week Amazon hosted the large AWS re:Invent Conference. Netflix and AWS open source Metaflow Making it easy to build and manage real-life data science projects. AWS re:Invent Machine Learning Announcements AWS CEO details all of the Machine Learning announcements during his keynote. Announcements.

Cloud Data 81

Cloud Data Data Science Azure Machine Learning 81