Thu.Oct 05, 2023

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AMM Performance Testing Report

Ripple Engineering

Overview In the rippled 1.12.0 release, the AMM amendment stands out as a significant feature in both size and scope. Since September 2022, the RippleX performance team has collaborated closely with the engineering team responsible for the AMM feature implementation. This report presents a thorough overview of our testing approach, findings, and key takeaways.

AWS 144
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How Close Are We to AGI?

KDnuggets

Will AI be able to surpass human intelligence? An article going through the current progression, and challenges of AGI.

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How Ribbon Health and Databricks Unlock Better Patient Care

databricks

This blog post was written in collaboration with Eric Schwartz, Director of Partnerships at Ribbon Health, and David Kulwin, Director, Databricks Marketplace. Ensuring.

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5 Free Platforms for Building a Strong Data Science Portfolio

KDnuggets

Build an irresistible portfolio that hooks recruiters with these 5 free platforms - you won't believe how easy it is!

Portfolio 127
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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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Announcing Inference Tables: Simplified Monitoring and Diagnostics for AI models

databricks

Have you ever deployed an AI model, only to discover it's delivering unexpected results in a real-world setting? Monitoring models is as crucial.

IT 92
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Maximize Performance in Edge AI Applications

KDnuggets

This article provides an overview of the strategies for optimizing AI system performance in edge AI deployments.

Systems 108

More Trending

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Coordinator - The Gateway For Nrtsearch

Yelp Engineering

While we once used Elasticsearch at Yelp, we have since built a replacement called Nrtsearch. The benefits and motivations of this switch can be found in our blog post: Nrtsearch: Yelp’s Fast, Scalable and Cost Effective Search Engine. However in this blog post, we will discuss the motivations behind building Nrtsearch Coordinator - a gateway for Nrtsearch clusters.

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Solaris Decentralizes Access and Delivers Data Faster With Snowflake

Snowflake

Learn how Europe’s leading embedded finance provider delivers data faster, decentralizes access and improves lineage controls with Snowflake’s Data Cloud. Since 2015, Solaris Group has worked to bridge the gap between finance and technology. With its embedded finance platform, it has brought banking-as-a-service products—including digital bank accounts, verification, card payment and lending solutions—to organizations around the world.

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Grace Molyneux Learns to the Secrets to Sales Success at Confluent

Confluent

Read about Grace’s four-year journey from Confluent sales development representative to seasoned account executive, learning plenty of skills along the way.

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5 ETL Best Practices You Shouldn’t Ignore

Monte Carlo

A botched ETL job is a ticking time bomb, nestled within the heart of your data infrastructure, waiting to detonate a whirlwind of inaccuracies and inconsistencies. Mastering ETL best practices can help you defuse this bomb if it already exists or allow you to avoid unknowingly placing it altogether. What’s ETL? ETL, which stands for Extract, Transform, Load, is the process of extracting data from various sources, transforming it into a usable format, and loading it into a destination system for

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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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AWS Big Data Certification Salary 2023 [Fresher & Expereinced]

Knowledge Hut

When it comes to cloud computing and big data, Amazon Web Services (AWS) has emerged as a leading name. With a versatile platform, AWS has enabled businesses to innovate and scale beyond their potential. As businesses’ reliance on cloud and big data increases, so does the demand for professionals who have the necessary skills and knowledge in AWS.

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What are data clean rooms? The best place to share without really sharing

Monte Carlo

Data is pretty useless if you can’t act on it, but how do you share insights without crossing privacy lines or worrying that your counterparty mishandles the data? While the old days of “just send them everything and see what they find” was fun, we now live in an era where privacy regulations like GDPR and CCPA rule the roost. What’s a company to do?

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AWS Lambda vs Azure Functions: Key Differences & Similarities

Knowledge Hut

A decade ago, as entrepreneurs were busy making pricey server purchases, serverless cloud computing first appeared. Microsoft's Azure Functions and AWS Lambda are now vying for supremacy in the serverless cloud. These two play in a contemporary manner. There may be minute distinctions between AWS Lambda and Azure Functions. They can even be obtuse sometimes, prompting people to question whether there is a difference.

AWS 52
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Current 2023 Announcements

Jesse Anderson

Confluent had their Current Conference (Videos: day one and day two ). There were many announcements that both technologists and investors need to know about. Confluent had two moats (replication and Confluent Cloud), and now they anticipate three moats (replication, Confluent Cloud, serverless Flink). As expected with a vendor conference, there is a lot of marketing from the stage.

Kafka 195
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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.

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How LinkedIn Is Using Embeddings to Up Its Match Game for Job Seekers

LinkedIn Engineering

Think of how many times a day you use some type of search functionality across your devices and applications to discover information, find a contact, or a new job opportunity. The truth is we all depend on the ability to search for things online, and finding the right match to the information, organization, or to a job that maps to your skills and interests makes all the difference in our experiences and the knowledge we can gain.

IT 133
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What is Data Enrichment? Best Practices and Use Cases

Precisely

How much data is your business generating each day? While answers will vary by organization, chances are there’s one commonality: it’s more data than ever before. But what do you do with all that data? According to the 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, 77% of data and analytics professionals say data-driven decision-making is the top goal of their data programs.

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Five Common Pitfalls on the Path to Becoming a Data-Driven Enterprise

Cloudera

Your company collects data from different sources and then you analyze the data to help make the right decisions. But you aren’t quite getting the results that you expect. Maybe the insights aren’t accurate. Perhaps the process is time consuming and cumbersome. Or you are only currently using data for a few use cases and struggle to implement organization wide.

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Meta contributes new features to Python 3.12

Engineering at Meta

Python 3.12 is out! It includes new features and performance improvements – some contributed by Meta – that we believe will benefit all Python users. We’re sharing details about these new features that we worked closely with the Python community to develop. This week’s release of Python 3.12 marks a milestone in our efforts to make our work developing and scaling Python for Meta’s use cases more accessible to the broader Python community.

Python 107
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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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How to Set Data Quality Standards for Your Company the Right Way

Monte Carlo

It’s a big moment for big data. Advancements in AI are generating countless headlines and breaking adoption records , and talented data specialists may be the hottest hires on the market. But without quality data, even the best technologies and teams won’t be able to drive meaningful results. And even though accurate and reliable data is the foundation of decision-making and strategy, many companies struggle to achieve high data quality.