databricks

JULY 22, 2024

Evaluating long-form LLM outputs quickly and accurately is critical for rapid AI development. As a result, many developers wish to deploy LLM-as-judge methods.

143

143

KDnuggets

JULY 22, 2024

Let's learn to use Pandas pivot_table in Python to perform advance data summarization

Python 137

Python Data 137

databricks

JULY 22, 2024

Today, we're thrilled to announce that Mosaic AI Model Training's support for fine-tuning GenAI models is now available in Public Preview. At Databricks.

Data Science 138

Data Science Data 138

KDnuggets

JULY 22, 2024

Transfer learning can improve model performance by leveraging pre-trained models and adapting them to new, related tasks.

Machine Learning 130

Machine Learning 130

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Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

Architecture

databricks

JULY 22, 2024

Written in collaboration with Navin Sharma and Joe Pindell, Stardog Across industries, the impact of post-delivery failure costs (recalls, warranty claims, lost goodwill.

Data 105

Data Manufacturing 105

KDnuggets

JULY 22, 2024

Go from zero to 100 with these free NLP courses!

Process 111

Process 111

Cloudera

JULY 22, 2024

Late last week, the tech world witnessed a significant disruption caused by a faulty update from CrowdStrike, a cybersecurity software company that focuses on protecting endpoints, cloud workloads, identity, and data. This update led to global IT outages, severely affecting various sectors such as banking, airlines, and healthcare. Many organizations found their systems rendered inoperative, highlighting the critical importance of system resilience and reliability.

Amazon Web Services 91

Amazon Web Services Telecommunication Banking Healthcare 91

Precisely

JULY 22, 2024

Key Takeaways: Use location and data APIs to boost app reliability and user satisfaction with accurate, up-to-date geographic information Overcome common issues like failed deliveries and customer frustrations through advanced geo addressing solutions that enhance efficiency and data accuracy Leverage Precisely APIs to not only correct data but also enrich applications with essential functions including identity verification and points of interest location The demand for accurate and efficient l

Building 52

Building Data Database Datasets 52

Monte Carlo

JULY 22, 2024

Data doesn’t just flow – it floods in at breakneck speed. How do we track this tsunami of changes, ensure data integrity, and extract meaningful insights? Data versioning is the answer. It provides us with a systematic approach to tracking changes, ensuring data integrity, and enabling meaningful insights within today’s fluid and complex data environment.

Metadata 52

Metadata Datasets ETL Tools Data 52

Cloudyard

JULY 22, 2024

Read Time: 2 Minute, 57 Second Previously, data engineers used Kinesis Firehose to transfer data into blob storage (S3) and then load it into Snowflake using either Snowpipe or batch processing. This introduced latency in the data pipeline for near real-time data processing. Now, Amazon Kinesis Data Firehose (Firehose) offers direct integration with Snowflake Snowpipe Streaming, eliminating the need to store data in an S3 bucket.

AWS 52

AWS Data Ingestion Data Architecture Architecture 52

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

Data

Knowledge Hut

JULY 22, 2024

As DevOps engineer, your responsibility is to bridge the gaps between software developments, testing, and support. As a DevOps engineer, you will regularly manage, monitor, and optimize an IT projects’ who, what, where, and how. DevOps engineering is not an easy field to work in, but it is a well-paying position with a promising future. To get ready for its interview, you will need expertise with various software applications and experience collaborating with other software engineering dep

Engineering 52

Engineering Building Recruitment Education 52

Edureka

JULY 22, 2024

Artifacts in DevOps not only help produce the final software but also help the team of developers by storing all the necessary elements in the artifacts repository, where the developers can easily find them and perform necessary operations (add, move, edit, or delete) with them. Thus, the artifacts save the developers valuable time from finding and gathering resources from different places, improving their productivity.

IT 40

IT AWS Coding Python 40

Snowflake

JULY 22, 2024

A robust, modern data platform is the starting point for your organization’s data and analytics vision. At first, you may use your modern data platform as a single source of truth to realize operational gains — but you can realize far greater benefits by adding additional use cases. In this blog, we offer guidance for leveraging Snowflake’s capabilities around data and AI to build apps and unlock innovation.

Government 100

Government Data Cloud Hadoop 100