Mon.Aug 07, 2023

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Startup Spotlight: Tesorio Helps Finance Teams Tackle Cash Flow Challenges

Snowflake

Welcome to Snowflake’s Startup Spotlight, where we learn about awesome companies building businesses on Snowflake. Can accounts receivable be an agent of change? Tesorio Co-Founder and CTO Fabio Fleitas thinks so, and his startup’s AI/ML-driven platform aims to give finance teams better control over their cash flow so they can have greater impact on their organizations’ success.

Finance 85
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Fixit 2: Meta’s next-generation auto-fixing linter

Engineering at Meta

Fixit is dead! Long live Fixit 2 – the latest version of our open-source auto-fixing linter. Fixit 2 allows developers to efficiently build custom lint rules and perform auto-fixes for their codebases. Fixit 2 is available today on PyPI. Python is one of the most popular languages in use at Meta. Meta’s production engineers (PEs) are specialized software engineers (SWEs) who focus on reliability, efficiency, and scalability.

Python 84
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The Importance of Data Cleaning in Data Science

KDnuggets

This article provides an overview of the importance of data cleaning in data science. It explains what data cleaning is, the benefits of using it, and the commonly used tools.

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Reimagining a classic Cheysson thematic map

ArcGIS

Here's a a re-think on a classic. I'll rationalize some data-viz choices and layout choices and end up with something completely different.

Data 83
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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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CDC Data Replication: Techniques, Tradeoffs, Insights

KDnuggets

The author discusses common use cases for CDC data replication, implementation techniques and their tradeoffs, and firsthand insights.

Data 89
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How to Build a Fully Automated Data Drift Detection Pipeline

Towards Data Science

An Automate Guide to Detect and Handle Data Drift Continue reading on Towards Data Science »

More Trending

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How Marketers Can Leverage Generative AI for Creative Breakthroughs, Scalability, and Speed

Snowflake

The conversation around generative AI naturally veers toward productivity, but people overlook this one, salient benefit: jumpstarting creativity. The best marketing combines data insights and creativity—and that’s where one of the many generative AI opportunities is for marketers. But that doesn’t mean we drop everything to obsess about AI. The battle for mindshare is a game of extreme consistency.

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Context is Key: Empowering Business Users With Spatial Analytics and Enriched Data

Precisely

Context plays a critical role in building data with integrity. To deliver on the promises of data-driven innovation, enterprises must operate with accurate and consistent data. That means having data fit for use, but data quality alone doesn’t provide the complete picture of reality that businesses need. Context plays a vital role in generating the game-changing insights that organizations require to increase efficiency, dominate markets, and deliver outstanding customer experiences.

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Fundamentals Of Statistics For Data Scientists and Analysts

KDnuggets

Key statistical concepts for your data science or data analysis journey.

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Moving Up the Curve: 5 Tips For Enabling Enterprise-Wide Data Streaming

Confluent

Read this blog post to explore the challenges of increasing maturity of data streaming in your organization—and five ways to overcome those challenges.

Data 52
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Get Better Network Graphs & Save Analysts Time

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.

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HDFS Snapshot Best Practices

Cloudera

Introduction The snapshots feature of the Apache Hadoop Distributed Filesystem ( HDFS) enables you to capture point-in-time copies of the file system and protect your important data against corruption, user-, or application errors. This feature is available in all versions of Cloudera Data Platform (CDP), Cloudera Distribution for Hadoop (CDH) and Hortonworks Data Platform (HDP).

Hadoop 78
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How Apna, Glance, & Meesho Are Innovating with Data Streaming For Consumers in India

Confluent

Learn how companies like Apna, Glance, and Meesho are using data streaming to drive business growth and unparalleled customer experiences.

Data 40
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Pioneering Data Observability: Data, Code, Infrastructure, & AI 

Monte Carlo

When we launched the data observability category in 2019, the term was something we could barely pronounce. Four years later, the category has squarely established itself as a core layer of the modern data stack. Data Observability is a G2 category, recognized by Gartner, Forrester, and more, and most importantly, widely adopted by hundreds of companies, including some of the world’s most advanced data organizations.

Coding 52
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Using short-lived certificates to protect TLS secrets

Engineering at Meta

Short-lived certificates (SLCs) are part of our latest efforts to further secure our Transport Layer Security (TLS) private keys on our edge networks. SLCs have a very short exposure compared to traditional certificates and lower the chances of a compromised private key being abused. Implementing SLCs has required us to address tradeoffs between operability and reliability, while satisfying the strict security requirements of our edge environment.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.