Sat.Apr 08, 2023 - Fri.Apr 14, 2023

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How to Ensure Data Integrity at Scale By Harnessing Data Pipelines

Ascend.io

Right now, at this moment, are you prepared to act on your company’s data? If not, why? At Ascend, we aim to make the abstract, actionable. So when we talk about making data usable, we’re having a conversation about data integrity. Data integrity is the overall readiness to make confident business decisions with trustworthy data, repeatedly and consistently.

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An Exploration Of The Composable Customer Data Platform

Data Engineering Podcast

Summary The customer data platform is a category of services that was developed early in the evolution of the current era of cloud services for data processing. When it was difficult to wire together the event collection, data modeling, reporting, and activation it made sense to buy monolithic products that handled every stage of the customer data lifecycle.

Data Lake 147
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8 In-Demand Data Science Certifications for Career Advancement [2023]

Analytics Vidhya

The job opportunities for data scientists will grow by 36% between 2021 and 2031, as suggested by BLS. It has become one of the most demanding job profiles of the current era. As recruiters hunt for professionals who are knowledgeable about data science, the average median pay for a proficient Data Scientist has soared to $100,910 […] The post 8 In-Demand Data Science Certifications for Career Advancement [2023] appeared first on Analytics Vidhya.

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The state of startup funding

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of six topics in today’s subscriber-only The Scoop issue. To get full newsletters twice a week, subscribe here. A recent report in Carta’s newsletter caught my eye: The state of angel investing, as reported by Carta. Source: Carta’s The Data Minute newsletter Angel rounds – or pre-seed rounds – usually total less than $1M in funding raised.

Finance 193
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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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Exploring Unsupervised Learning Metrics

KDnuggets

Improves your data science skill arsenals with these metrics.

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Free Dolly: Introducing the World's First Truly Open Instruction-Tuned LLM

databricks

Two weeks ago, we released Dolly, a large language model (LLM) trained for less than $30 to exhibit ChatGPT-like human interactivity (aka instruction-following).

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More Trending

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Data News — Week 23.15

Christophe Blefari

The only AI I'm eager to see ( credits ) Hey you, the newsletter might be late today again, but this time this is not my fault. Ghost editor was down when I wanted to write. Anyway, here the weekly Data News, written faster than usual. AI News 🤖 Yann le Cun did a 10 minutes interview at a major French radio. If you want to read the French transcript you can do it here.

Datasets 130
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Automated Machine Learning with Python: A Case Study

KDnuggets

How to Automate the Complete Lifecycle of a Data Science Project using AutoML tools, which reduces the programming effort for implementation with H2O.ai.

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How We Performed ETL on One Billion Records For Under $1 With Delta Live Tables

databricks

Today, Databricks sets a new standard for ETL (Extract, Transform, Load) price and performance. While customers have been using Databricks for their ETL.

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How Device Verification protects your WhatsApp account

Engineering at Meta

WhatsApp has launched a new security feature that further helps prevent attackers from using vectors like on-device malware. This security feature, called Device Verification, requires no action or additional steps from users and helps protect your account. This feature is part of our broader work to increase security for our users from the growing threat of malware.

Coding 144
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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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Data News — Week 23.14

Christophe Blefari

Data News entering in town ( credits ) Hey you, if I wasn't late in my newsletter writing it wouldn't be me. But here is your usual Data News. The main reason behind this delay is because I've played with LLMs yesterday. I've tried to run open-source models locally on my own laptop. There are still a few bugs and the results are not really at OpenAI level but this is fun to do.

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AutoGPT: Everything You Need To Know

KDnuggets

Just when we got our heads around ChatGPT, another one came along. AutoGPT is an experimental open-source pushing the capabilities of the GPT-4 language model.

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Introducing Apache Spark™ 3.4 for Databricks Runtime 13.0

databricks

Today, we are happy to announce the availability of Apache Spark™ 3.4 on Databricks as part of Databricks Runtime 13.0. We extend our s.

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Catching up with OpenAI by Chris Price

Scott Logic

It’s been over a year since I last blogged about OpenAI. Whilst DALL-E 2, ChatGPT and GPT4 have grabbed all of the headlines, there were a lot of other interesting things showing up on their blog in the background. This post runs through just over six months of progress from Sept 2021 - March 2022. Recursive task decomposition September 2021 One of the big constraints of the GPT series of models is the size of the input.

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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 News — Week 13.14

Christophe Blefari

Data News entering in town ( credits ) Hey you, if I wasn't late in my newsletter writing it wouldn't be me. But here is your usual Data News. The main reason behind this delay is because I've played with LLMs yesterday. I've tried to run open-source models locally on my own laptop. There are still a few bugs and the results are not really at OpenAI level but this is fun to do.

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DataLang: A New Programming Language for Data Scientists… Created by ChatGPT?

KDnuggets

I recently tasked ChatGPT-4's to come up with a new programming language appropriate for data scientists in their day to day tasks. Let's look at the results, and the process of getting there.

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How Software Bill of Materials change the dependency game

Zalando Engineering

Dependency hygiene Dependency updates are a tedious task when maintaining thousands of microservices. Some teams use tools like dependabot , scala-steward that create pull requests in repositories when new library versions are available. Other teams update dependencies regularly in bulk, supported by build system plugins (e.g. maven-versions-plugin , gradle-versions-plugin ).

Java 98
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How to use ChatGPT-4? Everything you need to know

Edureka

The most recent version of the AI, which was released on March 14, is the fourth iteration. Actually, ChatGPT’s initial release was in 2018. Since then, the company has been releasing iterations of the AI; ChatGPT 3, which launched earlier this year, has so far proven to be the most popular. The latest and most effective large language model is ChatGPT-4.In this blog, you will learn how to start using GPT-4 by following the steps mentioned here.

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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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True Orthos – A Valuable Product You Should Re-Think

ArcGIS

Ture orthos are an essential product for many different use cases for Reality Mapping and can now be processed using ArcGIS Reality

Process 98
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6 ChatGPT mind-blowing extensions to use anywhere

KDnuggets

And how to make ChatGPT our daily assistant using them.

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How DataOS Reinvigorates Analytics for Healthcare

The Modern Data Company

Prevention and early intervention are essential to building an effective healthcare approach that supports patients from start to finish. The critical component of this approach is predictive analytics — analyzing big data gathered from patients, consumers, and research to provide actionable insights about a patient’s current and future healthcare needs.

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Enabling the Customer Data Platform with Databricks ETL Support

databricks

Customer Data Platforms (CDPs) play an increasingly important role in the enterprise marketing landscape. By bringing together data from a wide variety of.

Data 98
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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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True Orthomosaics – A Valuable Product You Should Re-Think

ArcGIS

Ture orthomosaics are an essential product for many different use cases for Reality Mapping and can now be processed using ArcGIS Reality

Process 98
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10 Websites to Get Amazing Data for Data Science Projects

KDnuggets

Ultimately, these websites should help you find data you care about, do a cool data science project, and use that to get a job.

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Introduction to Apache Iceberg Tables

Towards Data Science

A few Compelling Reasons to Choose Apache Iceberg for Data Lakes Continue reading on Towards Data Science »

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Synthetic Data for Better Machine Learning

databricks

You've likely tried the buzziest advances in generative AI in the past year, tools like ChatGPT and DALL-E. They consume complex data and.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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LinkedIn Integrates Protocol Buffers With Rest.li for Improved Microservices Performance

LinkedIn Engineering

Authors: Karthik Ramgopal and Aman Gupta Each day, LinkedIn serves billions of member requests across all our platforms, including our web and mobile apps. It’s important that these member requests—such as viewing a company page, reading a LinkedIn article, or viewing network connections—are fulfilled quickly and that members aren’t faced with slow page load times (latency).

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Post GPT-4: Answering Most Asked Questions About AI

KDnuggets

Is AI overhyped, or is there a valid reason to be afraid?

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Using Imagery and Demographics to Address the Challenges of Rapid Urbanization

ArcGIS

ArcGIS allows you to combine imagery and demographic data to help monitor issues that arise with rapid urban growth.

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How Collective Health uses Delta Live Tables and Structured Streaming for Data Integration

databricks

Collective Health is not an insurance company. We're a technology company that's fundamentally making health insurance work better for everyone— starting with the 1.

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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.