Precisely

OCTOBER 5, 2023

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.

Raw Data 69

Raw Data Insurance Datasets Telecommunication 69

Analytics Vidhya

OCTOBER 6, 2023

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.

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Designing Technology Data Lake BI 262

Marc Lamberti

OCTOBER 1, 2023

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.

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Data Pipeline SQL Algorithm Coding 243

Data Engineering Podcast

OCTOBER 1, 2023

Summary Artificial intelligence applications require substantial high quality data, which is provided through ETL pipelines. Now that AI has reached the level of sophistication seen in the various generative models it is being used to build new ETL workflows. In this episode Jay Mishra shares his experiences and insights building ETL pipelines with the help of generative AI.

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Building BI SQL Machine Learning 162

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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?

Data

Confessions of a Data Guy

OCTOBER 6, 2023

Is there anything more Chad than Apache Airflow … and Rust? I think not you whimp. What two things do I love most? At the moment Rust and Airflow are at least somewhere at the top of that list. I wring my hands sometimes, wishing that things and technologies somehow come together into some bubbling […] The post The Ultimate Data Engineering Chadstack.

Data Engineering 147

Data Engineering Data Engineer Engineering Data 147

Waitingforcode

OCTOBER 4, 2023

Do not get the title wrong! Having applyInPandasWithState in the PySpark API is huge! However, due to Python duck typing, some operations are more difficult and more risky to express in the code than in the strongly typed Scala API.

Scala 147

Scala Python Coding 147

Ripple Engineering

OCTOBER 5, 2023

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.

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AWS BI Designing Database 144

Confessions of a Data Guy

OCTOBER 1, 2023

So perhaps you’re thinking it’s time to use Rust on your next project. You’ll find plenty of primers on how to get your feet wet in the language (and if you somehow made it this far without that much, The Book is that starting point), but maybe you’re feeling a bit lost amidst the seas […] The post Introduction to using Rust Libraries (cargo and crates) appeared first on Confessions of a Data Guy.

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Project IT Data Data Engineering 130

KDnuggets

OCTOBER 4, 2023

Want to learn all about Natural Language Processing (NLP)? Here is a 7 step guide to help you go from the fundamentals of machine learning and Python to Transformers, recent advances in NLP, and beyond.

Process 139

Process Machine Learning Python 139

Marc Lamberti

OCTOBER 2, 2023

Airflow Variables are easy to use but easy to misuse as well. In this tutorial, you will learn everything you need about variables in Apache Airflow. What are they, how do they work, define one, get the value, and more. If you followed my course “Apache Airflow: The Hands-On Guide” variables shouldn’t sound unfamiliar. This time, I will give you all I know about variables so that, in the end, you will be ready to use Variables in your DAGs properly.

AWS 130

AWS Google Cloud Database Coding 130

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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.

Database

ArcGIS

OCTOBER 4, 2023

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

Utilities 134

Utilities Data Management Management Data 134

LinkedIn Engineering

OCTOBER 6, 2023

Co-Authors: Chau Vu and Whitney Parsons In March 2020, the world turned upside down—the World Health Organization declared a global pandemic, and life as we knew it was altered completely. Offices closed, we stopped traveling, and we had to change the way we interacted with others. In the face of this disaster, businesses were challenged to adapt to continue operating while keeping their employees safe and healthy.

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Certification Building Programming Finance 88

KDnuggets

OCTOBER 6, 2023

Elevate Your Search Engine Skills! Join Uplimit's SearchML Course now for a 4-week deep dive into machine learning and search. Boost rankings, enhance retrieval, and build with OpenSearch. Enroll today and level up with expert guidance!

Engineering 129

Engineering Machine Learning Building 129

databricks

OCTOBER 2, 2023

Biomechanical data has emerged as a game-changing factor for Major League Baseball (MLB) teams, offering a competitive edge in enhancing player performance and.

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Coding Data Entertainment Media 98

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.

Certification

Pinterest Engineering

OCTOBER 2, 2023

Each summer, Pinterest welcomes Software Engineering Pinterns who spend 12 weeks with us creating impact within our product and teams. While Pinterns are fully immersed in their teams throughout the summer, they also get to attend exciting activities and events hosted by the University Recruiting team and within the company. Here’s a quick recap from this summer: Social events were a hit with boba tea making, creating your own vision board, chocolate making and a virtual escape room.

Recruitment 87

Recruitment Software Engineer Software Engineering Engineering 87

Workfall

OCTOBER 3, 2023

Reading Time: 8 minutes In this blog, we will cover: What are CRUD Operations? What is Spring Boot? What is MySQL Database? What is REST API Hands-On Conclusion What are CRUD Operations? CRUD represents Create, Read/Retrieve, Update, and Delete – fundamental actions on persistent storage, aligned with HTTP methods used in web development and database management: – POST: Establishes a fresh resource. – GET: Retrieves/reads a resource. – PUT: Modifies an existing resource. –

MySQL 85

MySQL Database Java Programming Language 85

KDnuggets

OCTOBER 2, 2023

This article explores strategies for evaluating the reliability of labels generated by Large Language Models (LLMs). It discusses the effectiveness of different approaches and offers practical insights for various applications.

IT 121

IT Machine Learning 121

LinkedIn Engineering

OCTOBER 2, 2023

When Javier signed up for a programming course during the pandemic, he had no idea that his career was about to shift from the world of music to data science. As his interest in AI and computer science grew, Javier found a community at LinkedIn that supported his growth and provided more opportunities to learn and lead than he could have imagined. Making the leap from music to LinkedIn Engineering with REACH My journey to LinkedIn and passion for coding came from an entirely different background

Data Science 85

Data Science Machine Learning Scala Algorithm 85

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.

Data Science

Lyft Engineering

OCTOBER 3, 2023

High-quality data is necessary for the success of every data-driven company. It enables everything from reliable business logic to insightful decision-making and robust machine learning modeling. It is now the norm for tech companies to have a well-developed data platform. This makes it easy for engineers to generate, transform, store, and analyze data at the petabyte scale.

Big Data 84

Big Data Metadata Data Warehouse Data 84

Cloudera

OCTOBER 4, 2023

Fast moving data and real time analysis present us with some amazing opportunities. Don’t blink — or you’ll miss it! Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. This real-time data, when captured and analyzed in a timely manner, may deliver tremendous business value.

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Telecommunication Data Warehouse Java Manufacturing 83

KDnuggets

OCTOBER 1, 2023

Explore the essentials of Google Cloud Platform for data science and ML, from account setup to model deployment, with hands-on project examples.

Google Cloud 136

Google Cloud Cloud Data Science Project 136

databricks

OCTOBER 6, 2023

A common challenge data scientists encounter when developing machine learning solutions is training a model on a dataset that is too large to.

Datasets 99

Datasets Machine Learning Data Data Science 99

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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.

Data Analysis

Snowflake

OCTOBER 2, 2023

Business continuity remains a top priority for global companies, given that disruptions caused by natural disasters, regional network and power outages, cyberattacks and breaches, and user error (just to name a few) are not an if but a when. The case for business continuity is particularly compelling for a company such as The Depository Trust & Clearing Corporation (DTCC) , which is designated as a systemically important financial market utility (SIFMU), a U.S.

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AWS Technology Data Cloud 86

Cloudera

OCTOBER 5, 2023

In a previous blog post , we explored the power of Cloudera Observability in providing high-level actionable insights and summaries for Hive service users. In this blog, we will delve deeper into the insight Cloudera Observability brings to queries executed on Hive. As a quick recap, Cloudera Observability is an applied observability solution that provides visibility into Cloudera deployments and its various services.

SQL 73

SQL Systems Database Engineering 73

KDnuggets

OCTOBER 6, 2023

Imagine you’re allowed to do only three data science projects. Which should you choose to guarantee you get the job? Here’s my choice!

Data Science 136

Data Science Project Data Machine Learning 136

databricks

OCTOBER 5, 2023

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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Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Building

Snowflake

OCTOBER 3, 2023

We are excited to announce the availability of data pipelines replication, which is now in public preview. In the event of an outage, this powerful new capability lets you easily replicate and failover your entire data ingestion and transformations pipelines in Snowflake with minimal downtime. Turnkey data pipelines replication and failover Snowflake provides a best-in-class experience for data engineering workloads.

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Data Pipeline Management Data Ingestion Data 81

Confluent

OCTOBER 3, 2023

Discover how DISH Wireless unlocks telco use cases by implementing a streaming data mesh using Confluent Cloud, a fully managed, cloud-native Apache Kafka® service.

Cloud 76

Cloud Kafka Data Management 76

KDnuggets

OCTOBER 2, 2023

Explore how the Skeleton-of-Thought prompt engineering technique enhances generative AI by reducing latency, offering structured output, and optimizing projects.

Engineering 114

Engineering Process Project 114

databricks

OCTOBER 5, 2023

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 98

IT 98

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Engineering