September, 2024

article thumbnail

How to build a data project with step-by-step instructions

Start Data Engineering

1. Introduction 2. Setup 3. Parts of data engineering 3.1. Requirements 3.1.1. Understand input datasets available 3.1.2. Define what the output dataset will look like 3.1.3. Define SLAs so stakeholders know what to expect 3.1.4. Define checks to ensure the output dataset is usable 3.2. Identify what tool to use to process data 3.3. Data flow architecture 3.

Project 240
article thumbnail

Paying down tech debt: further learnings

The Pragmatic Engineer

This is a follow-up to the article Paying down tech debt , written by industry veteran Lou Franco. Lou has been in the software business for over 30 years as an engineer, EM, and executive. He’s also worked at four startups and the companies that later acquired them; most recently Atlassian as a Principal Engineer on the Trello iOS app. Later this year, he’s publishing a book on tech debt.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Data Teams Survey 2020-2024 Analysis

Jesse Anderson

Survey Changes Over Time Between 2020 and 2024 (see 2020, 2023, and 2024 for each year’s information), I’ve been conducting a data teams survey. I wanted to dedicate an entire post to examining the change in data teams over time. Total Value Creation The most important question I ask each year concerns data team value creation. I break the question into two parts: “How successful would the business say your projects are?

article thumbnail

Setup Mage AI with Postgres to Build and Manage Your Data Pipeline

Analytics Vidhya

Introduction Imagine yourself as a data professional tasked with creating an efficient data pipeline to streamline processes and generate real-time information. Sounds challenging, right? That’s where Mage AI comes in to ensure that the lenders operating online gain a competitive edge. Picture this: thus, unlike many other extensions that require deep setup and constant coding, […] The post Setup Mage AI with Postgres to Build and Manage Your Data Pipeline appeared first on Analytics Vidhy

article thumbnail

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?

article thumbnail

How To Modernize Your Data Strategy And Infrastructure For 2025

Seattle Data Guy

We are still in the early days of data and the value it can add to companies. You’ll read plenty of statistics about how much value data can drive and how far behind companies that aren’t using data are. And as a data consultant, I have helped companies find that value in their data. It… Read more The post How To Modernize Your Data Strategy And Infrastructure For 2025 appeared first on Seattle Data Guy.

article thumbnail

7 Steps to Mastering Coding for Data Science

KDnuggets

Are you an aspiring data scientist or early in your data science career? If so, you know that you should use your programming, statistics, and machine learning skills—coupled with domain expertise—to use data to answer business questions. To succeed as a data scientist, therefore, becoming proficient in coding is essential. Especially for handling and analyzing.

More Trending

article thumbnail

Confluent + WarpStream = Large-Scale Streaming in your Cloud

Confluent

Confluent has acquired WarpStream, an innovative Kafka-compatible streaming solution. Read the full statement by Jay Kreps, co-founder and CEO of Confluent.

Cloud 142
article thumbnail

Fine-tuning Llama 3.1 with Long Sequences

databricks

Mosaic AI Model Training now supports fine-tuning up to 131K context length for Llama 3.1 models. More efficient training at long sequence lengths is made possible by several optimizations highlighted in this post.

133
133
article thumbnail

9 Mainframe Statistics That May Surprise You

Precisely

Are mainframes still relevant today? You bet! The following ten statistics paint a picture that shows mainframes are still going strong, with no signs of slowing. 1. The Mainframe Turns 60: A Milestone in Computing History. 60 years can really fly by! On April 7, 2024 , the Mainframe turned 60. At this milestone, we should all reflect on what the mainframe has done to the computing industry.

Banking 116
article thumbnail

Simulator-based reinforcement learning for data center cooling optimization

Engineering at Meta

We’re sharing more about the role that reinforcement learning plays in helping us optimize our data centers’ environmental controls. Our reinforcement learning-based approach has helped us reduce energy consumption and water usage across various weather conditions. Meta is revamping its new data center design to optimize for artificial intelligence and the same methodology will be applicable for future data center optimizations as well.

Data 110
article thumbnail

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

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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.

article thumbnail

5 LLM Tools I Can’t Live Without

KDnuggets

Large language models (LLMs) have transformed, and continue to transform, the AI and machine learning landscape, offering powerful tools to improve workflows and boost productivity for a wide array of domains. I work with LLMs a lot, and have tried out all sorts of tools that help take advantage of the models and their potential.

article thumbnail

How To Get a Higher Salary in Software Engineering

Knowledge Hut

There is an upswing in the consideration of Software Engineer as a career choice. Software engineers make a huge contribution to the success of many IT ventures or businesses, making them earn a considerable amount. You can also contribute by learning all the required skills. Learn the skills and update your software engineer profile with software development courses.

article thumbnail

Introducing Netflix’s Key-Value Data Abstraction Layer

Netflix Tech

Vidhya Arvind , Rajasekhar Ummadisetty , Joey Lynch , Vinay Chella Introduction At Netflix our ability to deliver seamless, high-quality, streaming experiences to millions of users hinges on robust, global backend infrastructure. Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability.

Bytes 99
article thumbnail

Unleash Your Innovation: Announcing the Databricks Generative AI Startup Challenge with Over $1 Million in Credits, Prizes, and Potential Venture Funding

databricks

The Databricks Generative AI Startup Challenge offers $1M+ in prizes for innovative startups building Generative AI use cases on Databricks. Apply by November 1, 2024!

Building 125
article thumbnail

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.

article thumbnail

Evaluating Data Observability Tools: A Comprehensive Guide

Data Engineering Weekly

Click the Link Below to Get Your Free Data Observability Buyers Guide: [link] The Buyer Guide for Data Observability is out. Please feel free to make a copy or comment to add more criteria. I w ant to extend my gratitude to the Data Heroes Community for their valuable insights and discussions, which served as the foundation for this piece. The points and thoughts shared here are largely drawn from the community's collective knowledge and contributions.

article thumbnail

Read Meta’s 2024 Sustainability Report

Engineering at Meta

We are working in partnership with others to scale inclusive solutions that support the transition to a zero-carbon economy and help create a healthier planet for all.

article thumbnail

10 Built-In Python Modules Every Data Engineer Should Know

KDnuggets

Interested in data engineering? Check out this round-up of built-in Python modules that'll come in handy for data engineering tasks.

Python 143
article thumbnail

Essential Guide to Clearing PRINCE2 Examination

Knowledge Hut

PRINCE2 (Projects in Controlled Environments) has gained significant popularity and widespread adoption across various industries and organizations worldwide. This certification offers a comprehensive and adaptable framework tailored to suit projects of any size or complexity. This flexibility allows organizations to apply PRINCE2 principles and processes to projects, from small initiatives to large-scale endeavors.

article thumbnail

Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

article thumbnail

How does Data Interoperability relate to FME?

ArcGIS

Learn the difference between ArcGIS Data Interoperability and FME technology and how they relate to one another.

Data 126
article thumbnail

Databricks announces significant improvements to the built-in LLM judges in Agent Evaluation

databricks

An improved answer-correctness judge in Agent Evaluation Agent Evaluation enables Databricks customers to define, measure, and understand how to improve the quality of.

article thumbnail

Handling the Producer Request: Kafka Producer and Consumer Internals, Part 2

Confluent

Learn how your data goes from a producing client all the way to disk on a broker—along the way traversing buffers, threads, queues and more.

Kafka 111
article thumbnail

Inside Bento: Jupyter Notebooks at Meta

Engineering at Meta

This episode of the Meta Tech Podcast is all about Bento , Meta’s internal distribution of Jupyter Notebooks, an open-source web-based computing platform. Bento allows our engineers to mix code, text, and multimedia in a single document and serves a wide range of use cases at Meta from prototyping to complex machine learning workflows. Pascal Hartig ( @passy ) is joined by Steve, whose team has built several features on top of Jupyter, including scheduled notebooks , sharing with colleagues, and

article thumbnail

The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

article thumbnail

Partial Functions in Python: A Guide for Developers

KDnuggets

In Python, functions often require multiple arguments, and you may find yourself repeatedly passing the same values for certain parameters. This is where partial functions can help. Python’s built-in functools module allows you to create partial functions.

Python 124
article thumbnail

Important Tips for Software Engineers

Knowledge Hut

If you're considering pursuing a career as a software engineer, it's an exciting field with lots of potential for growth and opportunity. But becoming a software engineer requires more than having the right degree and technical skills. It takes careful planning and preparation to ensure you'll have the best chance of landing your first job. Who is a Software Engineer?

article thumbnail

A Guide to Data Pipelines (And How to Design One From Scratch)

Striim

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. Most importantly, these pipelines enable your team to transform data into actionable insights, demonstrating tangible business value. According to an IBM study, businesses expect that fast data will enable them to “make better informed decisions using insights from analytics (44%), improved data quality and

article thumbnail

Introducing Meta Llama 3.2 on Databricks: faster language models and powerful multi-modal models

databricks

We are excited to partner with Meta to launch the latest models in the Llama 3 series on the Databricks Data Intelligence Platform.

Data 135
article thumbnail

Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

article thumbnail

Transform 2D building footprint polygons into 3D buildings using 3D Object Feature Layer

ArcGIS

Interested in 3D GIS but not sure where to start? Learn the proper method to transform pre-existing 2D footprint polygons into a 3D buildings.

Building 109
article thumbnail

Noisy Neighbor Detection with eBPF

Netflix Tech

By Jose Fernandez , Sebastien Dabdoub , Jason Koch , Artem Tkachuk The Compute and Performance Engineering teams at Netflix regularly investigate performance issues in our multi-tenant environment. The first step is determining whether the problem originates from the application or the underlying infrastructure. One issue that often complicates this process is the "noisy neighbor" problem.

article thumbnail

10 GitHub Repositories to Master Computer Vision

KDnuggets

The GitHub repository includes up-to-date learning resources, research papers, guides, popular tools, tutorials, projects, and datasets.

Datasets 137
article thumbnail

Meetings And Their Relevance In Separating Governance From Management

Knowledge Hut

What is management ? What is the difference between governing body and management? What is the relevance of meetings in management? Does the management layer need to conduct so many meetings? Seems like simple questions not sure how well it is understood and applied. I am sure most of us have attended or conducted meetings as a part of management governance.

article thumbnail

What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.