Wed.May 31, 2023

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The Top AutoML Frameworks You Should Consider in 2023

KDnuggets

AutoML frameworks are powerful tool for data analysts and machine learning specialists that can automate data preprocessing, model selection, hyperparameter tuning, and even perform complex tasks like feature engineering.

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What's new in Apache Spark 3.4.0 - Structured Streaming

Waitingforcode

The asynchronous progress tracking and correctness issue fixes presented in the previous blog posts are not the single new feature in Apache Spark Structured Streaming 3.4.0. There are many others but to keep the blog post readable, I'll focus here only on 3 of them.

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Testing Control-Flow Translations in GHC

Tweag

In November 2022, Tweag engineers merged a WebAssembly back end into the Glasgow Haskell Compiler (GHC). The back end includes a new translation for control flow , which enables GHC to avoid depending on external tools like Binaryen. Because the translation is new, we wanted to test it before submitting a merge request. And classic unit testing was not a good fit—we would have needed to know what the WebAssembly code was expected to be generated from any given fragment of Haskell, and that’s a j

Algorithm 116
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How Hard is it to Get into FAANG Companies

KDnuggets

This article explores the history and current state of FAANG companies, and how low acceptance rates for these companies may be due to the rapid growth of the tech industry.

IT 116
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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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Easy Ingestion to Lakehouse with File Upload and Add Data UI

databricks

Data ingestion into the Lakehouse can be a bottleneck for many organizations, but with Databricks, you can quickly and easily ingest data of.

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Go from Engineer to ML Engineer with Declarative ML

KDnuggets

Learn how to easily build any AI model and customize your own LLM in just a few lines of code with a declarative approach to machine learning.

More Trending

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KDnuggets Top Posts for March 2023: AutoGPT: Everything You Need To Know

KDnuggets

AutoGPT: Everything You Need To Know • Top 19 Skills You Need to Know in 2023 to Be a Data Scientist • 8 Open-Source Alternative to ChatGPT and Bard • LangChain 101: Build Your Own GPT-Powered Applications • 10 Websites to Get Amazing Data for Data Science Projects • Baby AGI: The Birth of a Fully Autonomous AI • Mastering Generative AI and Prompt Engineering: A Free eBook • Data Analytics: The Four Approaches to Analyzing Data and How To Use Them Effectively

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10 Interesting Project Management Project Ideas to Follow in 2023

Knowledge Hut

Project management is a critical function for every organization to achieve its goals in a successful and effective manner. According to one report, project management employment in the United States is predicted to expand by 33% between 2017 and 2027. According to the Bureau of Labour Statistics and PMI, companies will require roughly 88 million people in project management-related activities by 2027.

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KDnuggets News, May 31: Bard for Data Science Cheat Sheet • Top 10 Tools for Detecting ChatGPT, GPT-4, Bard, and other LLMs

KDnuggets

Bard for Data Science Cheat Sheet • Top 10 Tools for Detecting ChatGPT, GPT-4, Bard, and other LLMs • Data Analytics Tools You Need To Know in 2023 • AI is Eating Data Science • A Deep Dive into GPT Models: Evolution & Performance Comparison

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Introducing the Snowflake Connector for ServiceNow analytics

ThoughtSpot

In a world where user experience and IT support can mean the difference between hitting or missing your ARR marks, businesses have to find smarter ways to build workflows and support their IT departments. That’s where companies like ServiceNow come into play. A few years back, we created our ServiceNow SpotApp , a pre-built analytics template to help companies analyze and understand their data—so they can increase efficiencies across their complex IT environments.

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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Top 20 Artificial Intelligence Project Ideas in 2023

Knowledge Hut

AI finds its use in a wide range of applications like marketing , automation, transport, supply chain, and communication, to name a few. From cutting-edge research to real-world applications, here we will investigate the most executed artificial intelligence projects. This article will assist you to discover plenty of fascinating ideas and insights to inspire you, whether you are a tech fanatic or want to know about the future of AI.

Project 96
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How DoorDash uses XcodeGen to eliminate project merge conflicts

DoorDash Engineering

At DoorDash, we work to implement efficient processes that can mitigate common conflicts within a large iOS development team. Part of those efforts involve using XcodeGen, a command line interface (CLI), to reduce merging conflicts within our various iOS teams. Here we will discuss its implementation to manage the intricate business scenarios and demanding requirements of the Dasher app, which lets our drivers receive, pick up, and securely deliver orders to customers.

Project 96
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A guide to Generative AI terminology by Colin Eberhardt

Scott Logic

Generative AI is moving at an incredible pace, bringing with it a whole new raft of terminology. With articles packed full of terms like prompt injection, embeddings and funky acronyms like LoRA, it can be a little hard to keep pace. For a while now I’ve been keeping a notebook where I record brief definitions of these new terms as I encounter them.

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Snowflake Connector for Microsoft Power Platform Now Available 

Snowflake

Today, we’re excited to announce the Snowflake Connector for Microsoft Power Platform is now available. This connector provides instant access to up-to-date data within your Snowflake instance without manually integrating against API endpoints. Now anyone can easily build low-code applications or workflows on Power Platform that leverage Snowflake data without any previous technical or app development experience.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Data Ticket Takers vs. Decision Makers

Monte Carlo

Fundamentally, there are two different types of data teams in this worlds. There are those who are reactive to the wants of the organization, and then there are those who proactively lead the organization towards its needs. The first is helpful, but a cost center. The second is a value generator. In these economic conditions, which would you rather be?

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Superset Community Newsletter! - May, 2023

Preset

Welcome to the Superset Community Monthly Newsletter

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May the Speed be with You: 20K QPS on Rockset

Rockset

Scalability, performance and efficiency are the key considerations behind Rockset’s design and architecture. Today, we are thrilled to share a remarkable milestone in one of these dimensions. A customer workload achieved 20K queries per second (QPS) with a query latency (p95) of under 100ms, marking a significant demonstration of the scalability of our systems.

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How Backcountry Increases Data Team Efficiency by 30% with Monte Carlo

Monte Carlo

Online retailer Backcountry knows a thing or two about big adventures. Across multiple specialty brands and websites, the Park City, Utah-based company sells clothing and gear for outdoor sports enthusiasts. From hiking and camping to mountain biking and ice climbing, they cater to all kinds of experiences. But within the organization, one recent journey required some extra-special gear: the migration from a legacy platform to a modern, cloud-based data stack.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Data Pipeline vs. ETL: Which Delivers More Value?

Ascend.io

In the modern world of data engineering, two concepts often find themselves in a semantic tug-of-war: data pipeline and ETL. In the early stages of data management evolution, ETL processes offered a substantial leap forward in how we handled data – they provided a structured, systematic way to move data from one place to another, transforming it along the way to fit specific needs.

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UPCOMING WEBINAR: Automated Test Generation – Why Data Teams Need It

DataKitchen

This webinar discusses how to make embarrassing data errors a thing of the past. We will start with how data engineers do not understand their data and have difficulty identifying problematic data records. We will also discuss how the vast majority of data engineers are so busy that they don’t know, or have time to write, tests to write to find data errors.

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How To Implement Data Observability Like A Boss In 6 Steps

Monte Carlo

Data observability refers to an organization’s comprehensive understanding of the health and performance of the data within their systems. Data observability tools employ automated monitoring, root cause analysis, data lineage, and data health insights to proactively detect, resolve, and prevent data anomalies. This relatively new technology category has been quickly adopted by data teams, in part due to its extensibility (here are 61 use cases it supports).

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ON-DEMAND WEBINAR: Data Journey – The Missing Piece

DataKitchen

Something is missing from our data systems. We cannot judge the expectations vs. reality in our production data systems. What is the variance between what is happening now and what should be happening? Is it on time? Late? Is it trustworthy? What is happening now? Will my customers find a problem? That missing piece that connects data system expectations and reality is a ‘Data Journey.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Top Cloud Computing Skills You Should Master

Knowledge Hut

Cloud computing has become an essential part of modern business, and it's not hard to see why. Clouds eliminate the need for elaborate IT teams, maintenance of IT infrastructure, and investment in expensive IT equipment. This alone is reason enough for businesses to invest in cloud computing. Additionally, shared resources are cost-effective, and even if you do want your private cloud, you’ll invest far less in terms of local infrastructure.

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Exploring Innovations in Data Integrity

Precisely

To innovate, compete, and grow in the current macroeconomic environment, enterprises must approach data strategically. A sound data strategy doesn’t happen by accident; it’s built on a foundation of data integrity , including accuracy, consistency, and rich context. Many organizations still struggle with data integrity. According to research performed at Drexel University’s LeBow College of Business, 76% of data practitioners are trying to improve their data-driven decision-making, and mor

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Top 10 Business Analytics Project Ideas

Knowledge Hut

As a beginner in business management, one of the most crucial skills is gathering and analyzing data to make informed decisions. Business analytics uses data and statistical methods to extract insights and make data-driven decisions. The good news is that there are countless business analytics project ideas that you can start working on to improve your skills and help your business thrive.

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The Evolution of the Customer Data Platform

RudderStack

A look at today’s prevailing customer data platform approaches and its next evolution – The Warehouse Native Customer Data Platform.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Top Database Project Ideas to Work on 2023 [with Source Code]

Knowledge Hut

In today's digital age, data is a critical asset for any business or organization. However, managing data can be a challenging task, especially when dealing with large amounts of information. This is where database management systems come in handy. A database management system (DBMS) is a software system that helps organize, store and manage information efficiently.

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Azure Stream Analytics: Empowering Industrial Projects & OTT Streaming

Edureka

In today’s fast-paced and data-driven world, industrial tech companies strive to stay ahead by seeking innovative solutions. Imagine a bustling manufacturing plant with thousands of machines generating enormous amounts of data every second. This data is crucial for optimizing production efficiency, detecting anomalies, and ensuring smooth operations.

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Top?Business Intelligence Careers To Know In 2023

Knowledge Hut

Business Intelligence (BI) comprises a career field that supports organizations to make driven decisions by offering valuable insights. Business Intelligence is closely knitted to the field of data science since it leverages information acquired through large data sets to deliver insightful reports. Companies utilize different approaches to deal with data in order to extract information from structured, semi-structured, or unstructured data sets.

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Generative AI for the Enterprise

Cloudera

Riding the wave of the generative AI revolution, third party large language model (LLM) services like ChatGPT and Bard have swiftly emerged as the talk of the town, converting AI skeptics to evangelists and transforming the way we interact with technology. For proof of this megatrend look no further than the instant success of ChatGPT, where it set the record for the fastest-growing user base, reaching 100 million users in just 2 months after its launch.

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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.