KDnuggets

AUGUST 8, 2023

This article discusses the importance of geospatial analysis and introduces five essential Python packages for effectively handling and visualizing valuable insights from geospatial data.

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Python Data Analysis Data 89

databricks

AUGUST 8, 2023

In Part 1 of this blog series, we discussed how Databricks enables organizations to develop, manage and operate processes that extract value from.

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Data Process Management 90

KDnuggets

AUGUST 8, 2023

Forget ChatGPT, This New AI Assistant Is Leagues Ahead and Will Change the Way You Work Forever • 3 Ways to Access GPT-4 for Free • ChatGPT Code Interpreter: Do Data Science in Minutes • 7 Steps to Mastering Data Cleaning and Preprocessing Techniques • Introduction to Statistical Learning, Python Edition: Free Book

Data Science 83

Data Science Python Coding Accessible 83

Snowflake

AUGUST 8, 2023

Snowflake recently announced a collaboration with NVIDIA to make it easy to run NVIDIA accelerated computing workloads directly within Snowflake accounts. One interesting use case is to train, customize, and deploy large language models (LLMs) safely and securely within Snowflake. Our new Snowpark Container Services , currently in private preview, together with NVIDIA AI, makes this possible.

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Generalist Data Ingestion SQL Technology 76

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Data

KDnuggets

AUGUST 8, 2023

"This Week in AI" on KDnuggets provides a weekly roundup of the latest happenings in the world of Artificial Intelligence. Covering a wide range of topics from recent headlines, scholarly articles, educational resources, to spotlight research, the post is designed to keep readers up-to-date and informed about the ever-evolving field of AI.

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Education Designing 79

databricks

AUGUST 8, 2023

Healthcare is sitting on mountains of data Pop quiz: Which industry accounts for about 30% of newly created data around the world and.

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Healthcare Data 85

Monte Carlo

AUGUST 8, 2023

The Definitive Guide to Data Validation Testing Data validation testing ensures your data maintains its quality and integrity as it is transformed and moved from its source to its target destination. By applying rules and checks, data validation testing verifies the data meets predefined standards and business requirements to help prevent data quality issues and data downtime.

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Workfall

AUGUST 8, 2023

Reading Time: 9 minutes A heatmap chart is a visual representation of data presented in a matrix format. It uses different colors to represent the magnitude of values, making it easy to identify patterns and trends within complex datasets. Warm colors depict higher values, while cooler colors indicate lower ones. This type of chart finds application in diverse fields such as data analysis, biology, finance, and web analytics, offering an efficient means to detect significant data points and corr

Datasets 52

Datasets Finance Coding Data Analysis 52

Precisely

AUGUST 8, 2023

Data governance is rapidly shifting from a leading-edge practice to a must-have framework for today’s enterprises. Although the term has been around for several decades, it is only now emerging as a widespread practice, as organizations experience the pain and compliance challenges associated with ungoverned data. Briefly stated, data governance involves the formal orchestration of people, processes, and technology to enable an organization to leverage data as an enterprise asset.

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Data Governance Government Data Education 52

Acceldata

AUGUST 8, 2023

Learn how to balance the critical elements of data throughput and data reliability in Kafka with the help of ZFS.

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Kafka Data 40

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Towards Data Science

AUGUST 8, 2023

Pioneering Data Observability: Data, Code, Infrastructure, & AI The four dimensions of data observability: data, code, infrastructure, and ai? Image courtesy of the author. Outlining the past, present, and future of architecting reliable data systems. When we launched the data observability category in 2019, the term was something I could barely pronounce.

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Coding Data Software Engineer Software Engineering 79

Engineering at Meta

AUGUST 8, 2023

Meta is developing new privacy-enhancing technologies (PETs) to innovate and solve problems with less data. These technologies enable teams to build and launch privacy-enhanced products in a way that’s verifiable and safeguards user data. Using state-of-the-art cryptographic techniques, we have developed Private Data Lookup (PDL) that allows users to privately query a server-side data set.

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Datasets Bytes Algorithm Designing 78

Snowflake

AUGUST 8, 2023

Workrise is an energy staffing company that uses its platform to connect skilled contractors in the energy industry with service providers and operators. In 2022, the company realized that in order to monitor, analyze, counter, and prevent security threats, it needed both a modern data lake as well as a security information and event management (SIEM) solution.

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Data Lake Programming IT Building 52

DataKitchen

AUGUST 8, 2023

On 20 July 2023, Gartner released the article “ Innovation Insight: Data Observability Enables Proactive Data Quality ” by Melody Chien. In the article, Melody Chien notes that Data Observability is a practice that extends beyond traditional monitoring and detection, providing robust, integrated visibility over data and data landscapes. It alerts data and analytics leaders to issues with their data before they multiply.

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Data Pipeline Data Government Metadata 52

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis