Snorkel AI

MARCH 27, 2024

How Wayfair is transforming customer experiences with data-centric AI Description: Learn how Wayfair is harnessing the power of machine learning and data to make it easier for customers to find the exact home products they’re looking for with Snorkel AI on Google Cloud.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Snorkel AI

MARCH 27, 2024

How Wayfair is transforming customer experiences with data-centric AI Description: Learn how Wayfair is harnessing the power of machine learning and data to make it easier for customers to find the exact home products they’re looking for with Snorkel AI on Google Cloud.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Applied Data Science

MAY 6, 2021

It’s overwhelming at first, so let’s just focus on the main part development as the ‘Data Engineer’  — DAGS. Using the with structure as you would when opening a file, we define a DAG with the name joke_collector , the default arguments we defined above, a quick description, the schedule interval, start date and tags.

Data Scientist 130

Data Scientist Python Data Science Database 130

phData

MARCH 29, 2023

However, many analysts and other data professionals run into two common problems: They are not given direct access to their database They lack the skills in SQL to write the queries themselves The traditional solution to these problems is to rely on IT and data engineering teams. What can be done?

Database 52

Database SQL Analytics Analytics 52

AWS Machine Learning Blog

FEBRUARY 13, 2024

SageMaker provides end-to-end ML development, deployment, and monitoring capabilities such as a SageMaker Studio notebook environment for writing code, data acquisition, data tagging, model training, model tuning, deployment, monitoring, and much more.

AWS 103

AWS AI AI ML 103

phData

OCTOBER 12, 2022

It allows you to tag which final models are being used for a particular data product or dashboard. The great thing about this is that you can tag your final models, and thanks to the DAG, the parent models will all be brought into that exposure.

SQL 52

SQL Data Warehouse Data Visualization Data Quality 52

Tableau

FEBRUARY 14, 2022

“I think one of the most important things I see people do right, is to make sure that you build the data foundation from the ground up correctly,” said Ali Ghodsi, CEO of Databricks. Invest in strong data management and governance up front—it pays off downstream.

AI 74

AI AI Tableau Data Scientist 74

Tableau

FEBRUARY 14, 2022

“I think one of the most important things I see people do right, is to make sure that you build the data foundation from the ground up correctly,” said Ali Ghodsi, CEO of Databricks. Invest in strong data management and governance up front—it pays off downstream.

AI 72

AI AI Tableau Data Scientist 72

AWS Machine Learning Blog

NOVEMBER 1, 2023

Organizations can search for PII using methods such as keyword searches, pattern matching, data loss prevention tools, machine learning (ML), metadata analysis, data classification software, optical character recognition (OCR), document fingerprinting, and encryption. Outside of work, he enjoys playing lawn tennis and reading books.

AWS 90

AWS Machine Learning Machine Learning Clustering 90

Alation

JUNE 20, 2023

After its 2021 acquisition of Heights Finance Corporation, CURO needed to catalog and tag its legacy data while integrating Heights’ data — quickly. Who’s using Alation Data Catalog now? Will: Our data engineers and our marketing teams, as well as our software engineers. and Canada.

Data Governance 52

Data Governance Database SQL Data Engineering 52

ODSC - Open Data Science

JANUARY 29, 2024

Data, Engineering, and Programming Skills Programming Despite the rise of no-code platforms and AI code assistance, programming skills are still essential for training and fine-tuning LLM models, scripting for data processing, and integrating models into applications.

Machine Learning 52

Machine Learning Machine Learning Data Science Natural Language Processing 52

phData

FEBRUARY 14, 2023

Data Governance for Insurance Companies in Snowflake Dynamic data masking and object tagging are two significant features in Snowflake that complement a company’s data governance practice. So, how can insurers persuade consumers to look beyond the price tag?

Data Governance 52

Data Governance Data Silos Predictive Analytics Data Wrangling 52

The MLOps Blog

MARCH 20, 2023

These practices are essential for data scientists, data engineers, or machine learning engineers to provide a comprehensive guide for managing dataset versions in a project that is supposed to run for a long time. Machine learning teams must have a robust strategy for managing dataset versions in such projects.

ML 59

ML ML Machine Learning Machine Learning 59

Mlearning.ai

APRIL 1, 2023

reset_index(drop=True) else: return samples.reset_index(drop=True) load the data now dataset = generate_run_to_failure(train_set, health_censor_aug=train_set.unit_number.nunique() * 3) dataset.sample(10).sort_index() Goal is to show how to train the model using automl and perform responsible AI on the model. reset_index(drop=True).fillna(0)

AI 40

AI AI Azure Clustering 40

AWS Machine Learning Blog

NOVEMBER 29, 2023

When using this functionality outside of SageMaker Studio, you can define the users who can track the run status on the notebook job dashboard by using tags. For more details about tags to include, see View your notebook jobs and download outputs in the Studio UI dashboard.

ML 85

ML ML Data Scientist Python 85

Alation

APRIL 4, 2023

This expanded connector to Databricks Unity Catalog does just that, delivering to joint customers a comprehensive view of all cloud data. New Connectivity for dbt Modern data engineers confront complex, challenging data environments and need to empower data users for self-service. Now with this new 2023.1

DataOps 52

DataOps Data Engineering Data Engineer Data Engineering 52

AWS Machine Learning Blog

OCTOBER 20, 2023

Data lake foundations This module helps data lake admins set up a data lake to ingest data, curate datasets, and use the AWS Lake Formation governance model for managing fine-grained data access across accounts and users using a centralized data catalog, data access policies, and tag-based access controls.

ML 105

ML ML AWS Data Lakes 105

Alation

MARCH 1, 2022

Through Impact Analysis, users can determine if a problem occurred with data upstream, and locate the impacted data downstream. With robust data lineage, data engineers can find and fix issues fast and prevent them from recurring. Similarly, analysts gain a clear view of how data is created. In 2022.1,

Data Warehouse 52

Data Warehouse Data Lakes Cloud Data Database 52

Smart Data Collective

AUGUST 5, 2021

Collecting, processing, and carrying out analysis on streaming data , in industries such as ad-tech involves intense data engineering. The data generated daily is huge (100s of GB data) and requires a significant processing time to process the data for subsequent steps.

Data Lakes 143

Data Lakes Clustering AWS Data Engineering 143

phData

FEBRUARY 8, 2024

Data Modeling, dbt has gradually emerged as a powerful tool that largely simplifies the process of building and handling data pipelines. dbt is an open-source command-line tool that allows data engineers to transform, test, and document the data into one single hub which follows the best practices of software engineering.

Data Modeling 52

Data Modeling Data Models Database Data Warehouse 52

The MLOps Blog

OCTOBER 3, 2023

I switched from analytics to data science, then to machine learning, then to data engineering, then to MLOps. For me, it was a little bit of a longer journey because I kind of had data engineering and cloud engineering and DevOps engineering in between. Quite fun, quite chaotic at times.

ML 52

ML ML Data Scientist Machine Learning 52

Alation

JUNE 21, 2022

Data scientists want to catalog not just information sources, but models. Data engineers want to catalog data pipelines. Data governance people wanted policies, glossaries, and guided navigation. Privacy staff wanted tagging. This is why we say that the data catalog is the platform for data intelligence.

DataOps 52

DataOps Data Scientist Data Quality Data Pipeline 52

Smart Data Collective

FEBRUARY 3, 2022

There are a lot of compelling reasons that Docker is becoming very valuable for data scientists and developers. If you are a Data Scientist or Big Data Engineer, you probably find the Data Science environment configuration painful. No matter which environment, the steps are same. Create Docker Image File.

Data Science 121

Data Science Data Scientist Big Data Big Data 121

Alation

OCTOBER 27, 2022

First, we pulled unique contact titles into a Google Sheet from Hubspot and other sources, and tagged them with internal attributes; this helps downstream analysts get work done. We also populated our internal data catalog with these descriptions. This means we can productively onboard new projects and teams much more efficiently.

Data Analyst 52

Data Analyst Data Scientist Data Warehouse Analytics 52

Alation

MAY 24, 2022

“At Kestra Financial, we need confidence that we’re delivering trustworthy, reliable data to everyone making data-driven decisions,” said Justin Mikhalevsky, Vice President of Data Governance & Analytics, Kestra Financial. “We

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

AWS Machine Learning Blog

MARCH 10, 2023

Starting today, you can connect to Amazon EMR Hive as a big data query engine to bring in large datasets for ML. Aggregating and preparing large amounts of data is a critical part of ML workflow. Data scientists and data engineers use Apache Spark, Apache Hive, and Presto running on Amazon EMR for large-scale data processing.

Clustering 77

Clustering AWS ML ML 77

AWS Machine Learning Blog

AUGUST 29, 2023

The data engineer is responsible for the following: Uploading labeled training data to the appropriate path in Amazon S3. This includes adding new training data regularly to ensure the training pipeline and training with HPO pipeline have access to recent training data for model retraining and retuning, respectively.

AWS 72

AWS Data Quality Data Scientist Python 72

The MLOps Blog

JUNE 27, 2023

Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. This provides end-to-end support for data engineering and MLOps workflows.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

The MLOps Blog

DECEMBER 7, 2022

Back in the day, the main pain points were: 1 The architecture deployment wasn’t clearly tagged, and there were parts that heavily relied on manual executions. Quick shout out to the amazing data engineering team at CTF Capital, they really poured their hearts and brains into this! 3 The SQS queues were messy to maintain.

ML 52

ML ML AWS ETL 52

Smart Data Collective

MARCH 22, 2023

It may also involve looking at storage data, engine performance, cargo protection, and smoother operation. It may involve examining sensors on ships that are currently at sea.

Big Data 93

Big Data Big Data Big Data Analytics Big Data Analytics 93

Alation

JUNE 1, 2023

Every Data, Everywhere, All at Once with DIRECTV Who: Jack Purvis , senior director, chief data officer at DIRECTV, and Joe Conard , principal big data engineer at DIRECTV When: Tuesday, June 27, at 12:30 p.m. We’re looking forward to seeing you there!

Data Governance 52

Data Governance Analytics Analytics SQL 52

Alation

FEBRUARY 17, 2023

I suggest building out a RACI framework that assigns core activities across these key roles: (1) Data Owner; (2) Business Data Steward; (3) Technical (IT) Data Steward; (4) Enterprise Data Steward; (5) Data Engineer; and (6) Data Consumer. Communication is essential.

Data Governance 52

Data Governance Data Quality Data Analyst Data Pipeline 52

Alation

JUNE 14, 2022

By choosing Alation Data Catalog to promote faster data search and discovery, Spark NZ leverages Alation and Snowflake’s governance features to foster data democratization. Alation Data Catalog doesn’t just make it easier for data users at Spark to find the right data – it also accelerates Snowflake adoption.

Data Governance 52

Data Governance Cloud Data Data Analyst Big Data 52

The MLOps Blog

MARCH 21, 2023

Learn more → Roles in ML Team and How They Collaborate With Each Other – neptune.ai → ML Engineer vs Data Scientist → What Makes a Successful Machine Learning Engineer? My Story DevOps Engineers Who they are? Solution Data lakes and warehouses are the two key components of any data pipeline.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69