October, 2023

article thumbnail

Drag, Drop, Analyze: The Rise of No-Code Data Science

KDnuggets

No-code or low-code functionalities in data science have gained significant traction in recent years. These solutions are well-proven and matured, and they make data science more accessible to a wider range of people.

article thumbnail

Building a Streaming Data Pipeline with Redshift Serverless and Kinesis

Towards Data Science

An End-To-End Tutorial for Beginners Continue reading on Towards Data Science »

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Handling a Regional Outage: Comparing the Response From AWS, Azure and GCP

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover three out of seven topics from today’s subscriber-only issue Three Cloud Providers, Three Outages: Three Different Responses.

AWS 215
article thumbnail

Introduction of Microsoft Fabric

Analytics Vidhya

In today’s rapidly evolving digital landscape, seamless data, applications, and device integration are more pressing than ever. Enter Microsoft Fabric, a cutting-edge solution designed to revolutionize how we interact with technology. This article will explore the key features and benefits, identify the ideal users for this solution, and guide you on when and how to […] The post Introduction of Microsoft Fabric appeared first on Analytics Vidhya.

Designing 262
article thumbnail

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, CTO of Betterworks, will explore a practical framework to transform Generative AI prototypes into

article thumbnail

Airflow Sensors: What you need to know

Marc Lamberti

Airflow Sensors are one of the most common tasks in data pipelines. Why? Because a Sensor waits for a condition to be true to complete. Do you need to wait for a file? Check if an SQL entry exists? Delay the execution of a DAG? That’s the few possibilities of the Airflow Sensors. If you want to make complex and robust data pipelines, you have to understand how Sensors work genuinely.

article thumbnail

Reducing The Barrier To Entry For Building Stream Processing Applications With Decodable

Data Engineering Podcast

Summary Building streaming applications has gotten substantially easier over the past several years. Despite this, it is still operationally challenging to deploy and maintain your own stream processing infrastructure. Decodable was built with a mission of eliminating all of the painful aspects of developing and deploying stream processing systems for engineering teams.

Process 182

More Trending

article thumbnail

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
article thumbnail

Going from Developer to CEO: Chronosphere

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover three out of eight topics from today’s deepdive into tech scaleup Chronosphere. To get full issues twice a week, subscribe here.

article thumbnail

5 Free Books to Master Machine Learning

KDnuggets

Machine Learning is one of the most exciting fields in computer science today. In this article, we will take a look at the five best yet free books to learn machine learning in 2023.

article thumbnail

Snowflake To Acquire Ponder, Boosting Python Capabilities In the Data Cloud

Snowflake

Python’s popularity has more than doubled in the past decade¹ and it is quickly becoming the preferred language for development across machine learning, application development, pipelines, and more. One of our goals at Snowflake is to ensure we continue to deliver a best-in-class platform for Python developers. Snowflake customers are already harnessing the power of Python through Snowpark , a set of runtimes and libraries that securely deploy and process non-SQL code directly in Snowflake.

Python 141
article thumbnail

Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

article thumbnail

Automating dead code cleanup

Engineering at Meta

Meta’s Systematic Code and Asset Removal Framework (SCARF) has a subsystem for identifying and removing dead code. SCARF combines static and dynamic analysis of programs to detect dead code from both a business and programming language perspective. SCARF automatically creates change requests that delete the dead code identified from the program analysis, minimizing developer costs.

Coding 129
article thumbnail

Announcing Apache Flink 1.18

Confluent

Read updates and improvements in Apache Flink 1.18, including dynamic fine-grained rescaling via REST API, Java 17 support, and faster rescaling & batch performance improvements.

Java 124
article thumbnail

Training LLMs at Scale with AMD MI250 GPUs

databricks

Introduction Four months ago, we shared how AMD had emerged as a capable platform for generative AI and demonstrated how to easily and.

article thumbnail

Revolutionizing Real-Time Streaming Processing: 4 Trillion Events Daily at LinkedIn

LinkedIn Engineering

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers. This robust framework empowers near real-time data processing for critical services and platforms, ranging from machine learning and notifications to anti-abuse AI modeling.

Process 119
article thumbnail

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?

article thumbnail

7 Steps to Mastering Large Language Models (LLMs)

KDnuggets

Large Language Models (LLMs) have unlocked a new era in natural language processing. So why not learn more about them? Go from learning what large language models are to building and deploying LLM apps in 7 easy steps with this guide.

Building 136
article thumbnail

High resolution data updates to Living Atlas World Elevation Layers and Tools (October 2023)

ArcGIS

In October 2023, elevation layers have been updated with high-res datasets of France, New Zealand, USA, Italy along with global bathymetry.

Datasets 135
article thumbnail

How Meta is creating custom silicon for AI

Engineering at Meta

With the recent launches of MTIA v1 , Meta’s first-generation AI inference accelerator, and Llama 2 , the next generation of Meta’s publicly available large language model, it’s clear that Meta is focused on advancing AI for a more connected world. Fueling the success of these products are world-class infrastructure teams, including Meta’s custom AI silicon team, led by Olivia Wu, a leader in the silicon industry for 30 years.

Designing 117
article thumbnail

Top 30+ Computer Science Project Topics of 2023 [Source Code]

Knowledge Hut

Choosing the best computer science project topic is critical to the success of any computer science student or employee. After all, the more engaging and interesting topic, the more likely it is that students or employees will be able to stay motivated and focused throughout the duration of the project. However, with so many options out there, it can be tough to decide which one is right for you.

article thumbnail

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.

article thumbnail

Announcing MLflow 2.8 LLM-as-a-judge metrics and Best Practices for LLM Evaluation of RAG Applications, Part 2

databricks

Today we're excited to announce MLflow 2.8 supports our LLM-as-a-judge metrics which can help save time and costs while providing an approximation of.

article thumbnail

The benefits of modern data architecture

InData Labs

Big data is central to the efficient running of all modern organizations, but to be of use, raw data must be suitably organized. The way that businesses organize data assets is commonly known as data architecture, with the benefits of modern data architecture enabling teams to respond to changing demands with improved agility when compared. Запись The benefits of modern data architecture впервые появилась InData Labs.

article thumbnail

5 Free Books to Master Data Science

KDnuggets

Want to break into data science? Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning.

article thumbnail

Prepare your data for the National Spatial Reference System modernization of 2022 in the U.S.

ArcGIS

The new U.S. datums of 2022 will soon be released. This article covers what is coming and how you should prepare your data.

Systems 141
article thumbnail

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

article thumbnail

5 Things you didn’t know about Buck2

Engineering at Meta

Meta has a very large monorepo, with many different programming languages. To optimize build and performance, we developed our own build system called Buck , which was first open-sourced in 2013. Buck2 is the recently open-sourced successor. In our internal tests at Meta, we observed that Buck2 completed builds approximately 2x as fast as Buck1. Below are five interesting facts you might not have known about Buck2.

article thumbnail

Decision Tree Analysis in Project Management (with Examples)

Knowledge Hut

While working as a project management professional, you often come across situations where you have to make important decisions for projects with various levels of complexity. There are times when there are several choices, and you will be required to evaluate the outcomes related to each choice and accordingly make decisions that are best for your career and the company as a whole.

Project 98
article thumbnail

Llama 2 Foundation Models Available in Databricks Lakehouse AI

databricks

We’re excited to announce that Meta AI’s Llama 2 foundation chat models are available in the Databricks Marketplace for you to fine-tune and dep.

article thumbnail

Analysis of the XLS-30 AMM Amendment

Ripple Engineering

RippleX has enabled its validator to vote in support of the XLS-30 amendment, introducing innovative AMM capabilities to the XRPL. We, at RippleX, place great emphasis on the strength that collaborative effort and shared responsibility bring to the enhancement and security of the XRPL. Today, we earnestly request the community's consideration of the XLS-30 amendment —a proposal poised to offer numerous advantages by bolstering liquidity, offering yield opportunities for liquidity pro

article thumbnail

How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

article thumbnail

7 Best Cloud Database Platforms

KDnuggets

Cloud databases have made it easier and cheaper to develop enterprise-level applications, offering flexibility, convenience, and standard database functionality. See what KDnuggets recommends.

Database 131
article thumbnail

ArcGIS Utility Network: Out-of-the-Box

ArcGIS

Learn how the ArcGIS Utility Network is ready to use without spending a significant amount of time configuring or customizing.

Utilities 135
article thumbnail

PinCompute: A Kubernetes Backed General Purpose Compute Platform for Pinterest

Pinterest Engineering

Harry Zhang, Jiajun Wang, Yi Li, Shunyao Li, Ming Zong, Haniel Martino, Cathy Lu, Quentin Miao, Hao Jiang, James Wen, David Westbrook | Cloud Runtime Team Image Source: [link] Overview Modern compute platforms are foundational to accelerating innovation and running applications more efficiently. At Pinterest, we are evolving our compute platform to provide an application-centric and fully managed compute API for the 90th percentile of use cases.

article thumbnail

Top 22 Cloud Computing Project Ideas in 2023 [Source Code]

Knowledge Hut

With technological advancements and the need for computing services accelerating heights, many businesses are actively incorporating the cloud for better business operations. Verses the traditional method of storing and managing infrastructure needs, cloud solutions are becoming an efficient way to store, compute and secure resources. As a result, the demand for cloud computing and its applications is immensely high than ever.

article thumbnail

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.