Pickl AI

AUGUST 1, 2023

The primary goal of Data Engineering is to transform raw data into a structured and usable format that can be easily accessed, analyzed, and interpreted by Data Scientists, analysts, and other stakeholders. Future of Data Engineering The Data Engineering market will expand from $18.2

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

IBM Journey to AI blog

OCTOBER 12, 2023

Securing AI models and their access to data While AI models need flexibility to access data across a hybrid infrastructure, they also need safeguarding from tampering (unintentional or otherwise) and, especially, protected access to data. Learn more about IBM watsonx 1.

AI 93

AI AI Data Scientist Data Governance 93

phData

FEBRUARY 14, 2023

Data integration is essentially the Extract and Load portion of the Extract, Load, and Transform (ELT) process. Data ingestion involves connecting your data sources, including databases, flat files, streaming data, etc, to your data warehouse. Snowflake provides native ways for data ingestion.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

Tableau

DECEMBER 7, 2022

Allison (Ally) Witherspoon Johnston Senior Vice President, Product Marketing, Tableau Bronwen Boyd December 7, 2022 - 11:16pm February 14, 2023 In the quest to become a customer-focused company, the ability to quickly act on insights and deliver personalized customer experiences has never been more important.

Tableau 55

Tableau Data Warehouse Data Pipeline Data Visualization 55

phData

MAY 25, 2023

One of the easiest ways for Snowflake to achieve this is to have analytics solutions query their data warehouse in real-time (also known as DirectQuery). Both companies seem to recognize this “necessary evil” dynamic as they continue to be partners as of 2022. This ensures the maximum amount of Snowflake consumption possible.

Power BI 84

Power BI Analytics Analytics Azure 84

phData

APRIL 18, 2023

Faced with these challenges, asset servicers have acquired numerous technologies over time to meet their risk management, fund analytics, and settlement needs, leading to data fragmentation and inheriting complex data flows. Data movements lead to high costs of ETL and rising data management TCO.

Data Silos 52

Data Silos ETL Clustering Analytics 52

DagsHub

AUGUST 23, 2024

When bad data is inputted, it inevitably leads to poor outcomes. A coding error impacted credit scoring In 2022, Equifax - a major credit bureau - reported inaccurate credit scores for millions of consumers. In 2022, the company ingested bad data from one of its major customers.

Data Quality 52

Data Quality Data Governance Machine Learning Machine Learning 52

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52

SQL ML ML Python 52

phData

NOVEMBER 9, 2023

In 2022, the term data mesh has started to become increasingly popular among Snowflake and the broader industry. This data architecture aims to solve a lot of the problems that have plagued enterprises for years. What is a Cloud Data Warehouse? What is the Difference Between a Data Lake and a Data Warehouse?

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98