Mon.Jul 08, 2024

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Welcoming Prodvana to Databricks: Investing in Next-Gen Infrastructure

databricks

The Prodvana team joins Databricks to support new innovations in the Data Intelligence Platform infrastructure. Learn more about the vision and what's ahead.

Data 114
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How to Use the Hugging Face Tokenizers Library to Preprocess Text Data

KDnuggets

Text preprocessing is an important step in NLP. Let's learn how to use the Hugging Face Tokenizers Library to preprocess text data.

Data 120
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Databricks Named a Leader in Stream Processing and Cloud Data Pipelines

databricks

We are proud to announce two new analyst reports recognizing Databricks in the data engineering and data streaming space: IDC MarketScape: Worldwide Analytic.

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How To Use Docker Tags to Manage Image Versions Effectively

KDnuggets

Docker tags are important for managing and versioning Docker images. This tutorial will teach you how to use Docker tags effectively.

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Demystifying DAPs: A Practical Guide to Digital Adoption Success

Speaker: Pulkit Agrawal

Digital Adoption Platforms (DAPs) are revolutionizing the way organizations interact with and optimize their software applications. As digital transformation continues to accelerate, DAPs have become essential tools for enhancing user engagement and software efficiency. This session is your guide into the robust world of DAPs, exploring their origins, evolution, and the current trends shaping their development.

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Snowflake Expands Leading AI Data Cloud into Global Regulated and Sovereign Markets

Snowflake

Regulated and sovereign markets across the world have stringent requirements stipulating certain important data be kept within geographical borders or even for certain workloads to have dedicated environments, separate from those of other customers. In these markets, organizations need a secure and well-governed data foundation with effective controls to help comply with regulatory requirements.

Cloud 80
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Introduction to Statistics: A Statology Primer

KDnuggets

Learn all about introductory statistics with this collection of tutorials from our sister site Statology.

More Trending

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Podcast: Data Hurdles Poscast

DataKitchen

Christopher Bergh, CEO of DataKitchen, is transforming data analytics with his DataOps approach. By applying principles from agile and lean manufacturing, Bergh aims to eliminate the 70-80% waste in data processes. DataKitchen's suite of open-source tools offers solutions for observability, testing, and automation, addresses challenges in rapid change management, error detection team productivity.

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Snowflake Terraform Integration Made Easy

Hevo

Managing infrastructure manually across multiple cloud providers leads to consistency, deployment delays, and difficulty in scaling. You need a solution that automates infrastructure provisioning, ensures consistency, and supports rapid deployment across diverse environments, from development to production, while maintaining security and compliance standards.

Cloud 52
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Learn Computer Science with Princeton University for FREE!

KDnuggets

Check out these 6 courses to get your foot into the computer science world!

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TensorFlow Transform: Ensuring Seamless Data Preparation in Production

Towards Data Science

Leveraging TensorFlow Transform for scaling data pipelines for production environments Photo by Suzanne D. Williams on Unsplash Data pre-processing is one of the major steps in any Machine Learning pipeline. Tensorflow Transform helps us achieve it in a distributed environment over a huge dataset. Before going further into Data Transformation, Data Validation is the first step of the production pipeline process, which has been covered in my article Validating Data in a Production Pipeline: The

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Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

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Just Launched: AI Anomaly Detection For SQL Server

Monte Carlo

Unlike traditional data quality solutions, Monte Carlo was originally designed to reduce data downtime across modern data platforms such as Snowflake, Databricks, Redshift, BigQuery, Azure Synapse and more. As we worked with data teams, we ran into a diverse set of data platforms teams used to power their data products including: Postgres Teradata MySQL Oracle SAP HANA SQL Server Last year we launched custom monitors , or data tests, for these environments to help identify bad data as early in t

SQL 40
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Hevo vs Fivetran: The Right Choice for Your Business 

Hevo

In the fast-paced world of data management, choosing the right tool to address your requirements has never been more critical than now. Therefore, understanding each option is central to influencing your decisions. This guide compares Hevo Data vs Fivetran, two leading ELT (Extract, Load, Transform) tools in the market.

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Mission Lane: Continuous Compliance Monitoring

Monte Carlo

Note: This was originally published on the Mission Lane Tech Blog and has been republished below with permission. Table of Contents Introduction Why we started: “Customer obsessed” coupled with cost savings A quick introduction to a traditional compliance testing approach How manual testing works in practice and its drawbacks High Level of Effort Lack of Scalability Testing is not “always on” Less Auditable The future is now!

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Location Intelligence Use Cases: Solving 5 Top Business Challenges

Precisely

Key Takeaways: Harness the power of location intelligence to drive smarter, data-driven decisions that turn spatial data into a strategic asset. Top location intelligence use cases include efficient territory planning and network optimization, which help maximize productivity and customer satisfaction. Successful location intelligence initiatives require a foundation of high-quality address data, enrichment data, and spatial analytics.

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Entity Resolution: Your Guide to Deciding Whether to Build It or Buy It

Adding high-quality entity resolution capabilities to enterprise applications, services, data fabrics or data pipelines can be daunting and expensive. Organizations often invest millions of dollars and years of effort to achieve subpar results. This guide will walk you through the requirements and challenges of implementing entity resolution. By the end, you'll understand what to look for, the most common mistakes and pitfalls to avoid, and your options.