Sat.May 07, 2022 - Fri.May 13, 2022

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Data Engineering Project for Beginners - Batch edition

Start Data Engineering

1. Introduction 2. Objective 3. Design 4. Setup 4.1 Prerequisite 4.2 AWS Infrastructure costs 4.3 Data lake structure 5. Code walkthrough 5.1 Loading user purchase data into the data warehouse 5.2 Loading classified movie review data into the data warehouse 5.3 Generating user behavior metric 5.4. Checking results 6. Tear down infra 7. Design considerations 8.

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Centroid Initialization Methods for k-means Clustering

KDnuggets

This article is the first in a series of articles looking at the different aspects of k-means clustering, beginning with a discussion on centroid initialization.

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Confluent at a Fully Disconnected Edge

Confluent

Internet connectivity is something we sometimes take for granted. For many, most places we visit, work, or reside have some form of connectivity whether it be cellular, Wi-Fi, fiber, etc. […].

IT 131
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Scaling Analysis of Connected Data And Modeling Complex Relationships With The TigerGraph Graph Database

Data Engineering Podcast

Summary Many of the events, ideas, and objects that we try to represent through data have a high degree of connectivity in the real world. These connections are best represented and analyzed as graphs to provide efficient and accurate analysis of their relationships. TigerGraph is a leading database that offers a highly scalable and performant native graph engine for powering graph analytics and machine learning.

Database 100
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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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Audio Analysis With Machine Learning: Building AI-Fueled Sound Detection App

AltexSoft

We live in the world of sounds: Pleasant and annoying, low and high, quiet and loud, they impact our mood and our decisions. Our brains are constantly processing sounds to give us important information about our environment. But acoustic signals can tell us even more if analyze them using modern technologies. Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals

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Free University Data Science Resources

KDnuggets

This is a list of FREE data science resources and notes that are available online, some of which are provided by universities.

More Trending

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Exploring The Insights And Impact Of Dan Delorey's Distinguished Career In Data

Data Engineering Podcast

Summary Dan Delorey helped to build the core technologies of Google’s cloud data services for many years before embarking on his latest adventure as the VP of Data at SoFi. From being an early engineer on the Dremel project, to helping launch and manage BigQuery, on to helping enterprises adopt Google’s data products he learned all of the critical details of how to run services used by data platform teams.

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Optimizing Hive on Tez Performance

Cloudera

Tuning Hive on Tez queries can never be done in a one-size-fits-all approach. The performance on queries depends on the size of the data, file types, query design, and query patterns. During performance testing, evaluate and validate configuration parameters and any SQL modifications. It is advisable to make one change at a time during performance testing of the workload, and would be best to assess the impact of tuning changes in your development and QA environments before using them in product

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Machine Learning Key Terms, Explained

KDnuggets

Read this overview of 12 important machine learning concepts, presented in a no frills, straightforward definition style.

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How can Airlines Meet the Needs of Today’s Digital Customer?

Teradata

The next generation of customers expects newer technologies & advanced self-service capabilities as the airline business becomes more competitive. How can airlines meet these expectations?

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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.

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Handling Bursty Traffic in Real-Time Analytics Applications

Rockset

This is the third post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Posts published so far in the series: Why Mutability Is Essential for Real-Time Data Analytics Handling Out-of-Order Data in Real-Time Analytics Applications Handling Bursty Traffic in Real-Time Analytics Applications SQL and Complex Queries A

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Fine-Tune Fair to Capacity Scheduler in Relative Mode

Cloudera

Cloudera Data Platform (CDP) unifies the technologies from Cloudera Enterprise Data Hub (CDH) and Hortonworks Data Platform (HDP). A few functionalities that existed in the legacy platforms (HDP and CDH) are substituted by other alternatives based on a detailed and careful analysis. CDH users would have used Fair Scheduler (FS), and HDP users would have used Capacity Scheduler (CS).

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Deep Learning For Compliance Checks: What’s New?

KDnuggets

By implementing the different NLP techniques into the production processes, compliance departments can maintain detailed checks and keep up with regulator demands.

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Tableau Field-level Lineage: A Data Analyst’s Dream Come True

Monte Carlo

If you’ve been a data analyst, BI analyst, or general business user of dashboards and reports, you’ve probably asked these questions (and more) before: What’s the most reliable field to use? When was the last time this table was updated? Should there be this many null entries in this column? Who can I reach out to figure out if this data is expected?

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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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Technologie, données & transition écologique

Palantir

(Scroll down for English translation below) Avec l’adoption des accords de Paris en 2016, les institutions du secteur public et privé ont considérablement renforcé leurs ambitions en matière de décarbonation. Plus particulièrement, la capacité des organisations à s’adapter et améliorer leur prise de décision va devenir un élément clé de différenciation et de compétitivité.

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CDC on DynamoDB

Rockset

DynamoDB is a popular NoSQL database available in AWS. It is a managed service with minimal setup and pay-as-you-go costing. Developers can quickly create databases that store complex objects with flexible schemas that can mutate over time. DynamoDB is resilient and scalable due to the use of sharding techniques. This seamless, horizontal scaling is a huge advantage that allows developers to move from a proof of concept into a productionized service very quickly.

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Machine Learning’s Sweet Spot: Pure Approaches in NLP and Document Analysis

KDnuggets

While it is true that Machine Learning today isn’t ready for prime time in many business cases that revolve around Document Analysis, there are indeed scenarios where a pure ML approach can be considered.

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Introducing the dbt Cloud API Postman Collection: a tool to help you scale your account management

dbt Developer Hub

❓ Who is this for: This is for advanced users of dbt Cloud that are interested in expanding their knowledge of the dbt API via an interactive Postman Collection. We only suggest diving into this once you have a strong knowledge of dbt + dbt Cloud. You have a couple of options to review the collection: get a live version of the collection via. check out the collection documentation to learn how to use it.

Cloud 52
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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.

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Getting Started with Scala Generics

Rock the JVM

Scala generics are a breeze for Java developers, but what about those coming from Python or JavaScript?

Scala 52
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Data Mesh Architecture: Reimagining Data Management

KDnuggets

The objective of data mesh is to establish coherence between data coming from different domains across an enterprise. The domains are handled autonomously to eliminate the challenges of data availability and accessibility for cross-functional teams.

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5 Free Hosting Platform For Machine Learning Applications

KDnuggets

Learn about the free and easy-to-deploy hosting platform for your machine learning projects.

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KDnuggets News, May 11: SQL Notes for Professionals; How To Structure a Data Science Project

KDnuggets

SQL Notes for Professionals: The Free eBook Review; How To Structure a Data Science Project: A Step-by-Step Guide; Everything You Need to Know About Tensors; Free University Data Science Resources; Image Classification with Convolutional Neural Networks (CNNs).

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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.

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An Overview of Mercury: Creating Data Science Portfolio and Notebook Based WebApps

KDnuggets

Turn your dull Jupyter notebooks into interactive web apps by adding a YAML header and sharing it with your friends and colleagues. You can also use Mercury to create your data science portfolio, which consists of a resume and projects.

Portfolio 108
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4 Steps for Managing a Data Science Project

KDnuggets

Good planning and preparation will not only improve productivity, but it will help avoid potential pitfalls and roadblocks that could be encountered during project execution.

Project 108
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Create Efficient Combined Data Sources with Tableau

KDnuggets

Save time and effort with this guide, which will show you how to do data join operations in Tableau.

Data 148
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Learning Data Science If You’re Broke

KDnuggets

Check out this list of free resources, courses, and more to help you become a Data Scientist for free.

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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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Top 4 tricks for competing on Kaggle and why you should start

KDnuggets

If you aren't familiar with Kaggle, you should be. Hear why from two expert Kagglers in this article.

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The Curse of Delayed Performance

KDnuggets

Predict the performance of your model - before the ground truth is available.

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oBERT: Compound Sparsification Delivers Faster Accurate Models for NLP

KDnuggets

Discover "compound sparsification" and how to apply it to BERT models for 10x compression and GPU-level latency on commodity CPUs.

IT 95
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Quick Data Science Tips and Tricks to Learn SAS

KDnuggets

How To Tutorials with SAS data scientists and analytics instructors.

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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.