Sat.Dec 18, 2021 - Fri.Dec 24, 2021

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Fast And Flexible Headless Data Analytics With Cube.JS

Data Engineering Podcast

Summary One of the perennial challenges of data analytics is having a consistent set of definitions, along with a flexible and performant API endpoint for querying them. In this episode Artom Keydunov and Pavel Tiunov share their work on Cube.js and the various ways that it is being used in the open source community. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the p

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6 Predictive Models Every Beginner Data Scientist Should Master

KDnuggets

Data Science models come with different flavors and techniques — luckily, most advanced models are based on a couple of fundamentals. Which models should you learn when you want to begin a career as Data Scientist? This post brings you 6 models that are widely used in the industry, either in standalone form or as a building block for other advanced techniques.

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Cloudera Data Engineering 2021 Year End Review

Cloudera

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. In working with thousands of customers deploying Spark applications, we saw significant challenges with managing Spark as well as automating, delivering, and optimizing secure data pipelines.

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Real-Time Log Analytics as a Service with Confluent and Elasticsearch

Confluent

Collecting and indexing logs from servers, applications, and devices enables crucial visibility into running systems. A log analytics pipeline allows teams to debug and troubleshoot issues, track historical trends, or […].

Systems 90
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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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Building A System Of Record For Your Organization's Data Ecosystem At Metaphor

Data Engineering Podcast

Summary Building a well managed data ecosystem for your organization requires a holistic view of all of the producers, consumers, and processors of information. The team at Metaphor are building a fully connected metadata layer to provide both technical and social intelligence about your data. In this episode Pardhu Gunnam and Mars Lan explain how they have designed the architecture and user experience to allow everyone to collaborate on the data lifecycle and provide opportunities for automatio

Systems 100
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Alternative Feature Selection Methods in Machine Learning

KDnuggets

Feature selection methodologies go beyond filter, wrapper and embedded methods. In this article, I describe 3 alternative algorithms to select predictive features based on a feature importance score.

More Trending

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Reducing The Cost Of Failure With DataOps

DataKitchen

The post Reducing The Cost Of Failure With DataOps first appeared on DataKitchen.

98
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Install and Run Cockpit on Linux Virtual Machines

WeCloudData

Objectives This tutorial will walk you through installing the user-friendly Linux sysadmin web console tool Cockpit Prerequisites Installed Linux OS (this tutorial uses the Debian-based Linux distro Ubuntu) Introduction Linux is extremely useful and powerful but due to its flexibility, extensibility, and versatility as an operating system with a plethora of utilities, it can be […] The post Install and Run Cockpit on Linux Virtual Machines appeared first on WeCloudData.

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How to Speed Up XGBoost Model Training

KDnuggets

XGBoost is an open-source implementation of gradient boosting designed for speed and performance. However, even XGBoost training can sometimes be slow. This article will review the advantages and disadvantages of each approach as well as go over how to get started.

Designing 152
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Learning Essential Mathematics for Machine Learning in 2023

ProjectPro

John was a technology enthusiast who was eager to learn about and explore the benefits of machine learning. He enrolled in a few online machine learning bootcamps and learned the theory on how to use packages such as sci-kit-learn, Tensorflow , and Pytorch. Though John had a superficial understanding of the math involved in modifying parameters and constructing machine learning models , he could not apply them to a real-world business use case.

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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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2022 Big Data Predictions from the Cloud

DataKitchen

The post 2022 Big Data Predictions from the Cloud first appeared on DataKitchen.

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Launch Linux Virtual Machines with Multipass

WeCloudData

Objectives The following tutorial will demonstrate how to use a convenient tool from Canonical called Multipass to launch Ubuntu Linux virtual machines with ease Prerequisites Linux, MacOS or Windows Operating System Minimum 4 GB RAM (8 GB preferred) Introduction Linux is an essential building block in almost all IT ecosystems powering web servers, mobile phones […] The post Launch Linux Virtual Machines with Multipass appeared first on WeCloudData.

Systems 52
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Hands-On Reinforcement Learning Course, Part 1

KDnuggets

Start your learning journey in Reinforcement Learning with this first of two part tutorial that covers the foundations of the technique with examples and Python code.

Python 148
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The Ultimate Machine Learning Engineer Career Path for 2023

ProjectPro

Did you know that the global machine learning market, according to Fortune Business Insights, is expected to reach a whopping $152.24 billion in 2028? Machine learning, unlike other fields, has a global reach when it comes to job opportunities. The machine learning career path is perfect for you if you are curious about data, automation, and algorithms, as your days will be crammed with analyzing, implementing, and automating large amounts of knowledge.

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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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How We Use Rockset's Real-Time Analytics to Debug Distributed Systems

Rockset

Jonathan Kula was a software engineering intern at Rockset in 2021. He is currently studying computer science and education at Stanford University, with a particular focus on systems engineering. Rockset takes in, or ingests, many terabytes of data a day on average. To process this volume of data, we at Rockset distribute our ingest framework across many different units of computation, some to coordinate (coordinators) and some to actually download and ready your data for indexing in Rockset (wo

Systems 52
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Install and Run Cockpit on Linux Virtual Machines

WeCloudData

Objectives This tutorial will walk you through installing the user-friendly Linux sysadmin web console tool Cockpit Prerequisites Installed Linux OS (this tutorial uses the Debian-based Linux distro Ubuntu) Introduction Linux is extremely useful and powerful but due to its flexibility, extensibility, and versatility as an operating system with a plethora of utilities, it can be overwhelming for beginners and even seasoned veterans.

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Why we will always need humans to train AI — sometimes in real-time

KDnuggets

Customizable, real-time data labeling pipelines that can continuously receive and process unlabeled data are necessary to train and perfect the AI that impacts our lives and daily conveniences.

Process 140
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Exploring Careers in Data Science One Byte at a Time

Emeritus

Careers in data science have been generating quite the buzz lately and it’s not unfounded. Data science has evolved from being only analytics and statistics to decisions, predictions, and actions that move the world. Kira Radinsky of Diagnostic Robotics Chairwoman & CTO, shared, “My true passion is arming humanity with scientific capabilities to automatically anticipate,… The post Exploring Careers in Data Science One Byte at a Time appeared first on Emeritus Online Courses.

Bytes 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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Enabling CI/CD with Grouparoo Cloud

Grouparoo

As Data Engineering keeps evolving, more traditional Software Engineering practices continue to be incorporated into the field. The development workflow for reverse ETL allows you to check configuration-as-code into a git repository, using the workflow you already know and love: create a pull request with your changes, have a team member review the code, and merge it in when it’s ready.

Cloud 52
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Launch Linux Virtual Machines with Multipass

WeCloudData

Objectives The following tutorial will demonstrate how to use a convenient tool from Canonical called Multipass to launch Ubuntu Linux virtual machines with ease Prerequisites Linux, MacOS or Windows Operating System Minimum 4 GB RAM (8 GB preferred) Introduction Linux is an essential building block in almost all IT ecosystems powering web servers, mobile phones and IoT devices globally.

Cloud 52
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A Faster Way to Prepare Time-Series Data with the AI & Analytics Engine

KDnuggets

Many real-world datasets consist of records of events that occur at arbitrary and irregular intervals. These datasets then need to be processed into regular time series for further analysis. We will use the AI & Analytics Engine to illustrate how you can prepare your time-series data in just 1 step.

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Data Labeling in Machine Learning: Process, Types, and Best Practices

AltexSoft

When people hear about artificial intelligence, deep learning, and machine learning , many think of movie-like robots that resemble or even outperform human intelligence. Others believe that such machines simply consume information and learn from it by themselves. Well… It’s kind of far from the truth. Computer systems have limited capabilities without human guidance, and data labeling is the way to teach them to become “smart.” In this article, you will find out what dat

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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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Our 2021 in a Nutshell

Pipeline Data Engineering

It's the time of the year when everybody is trying to summarise what happened in the last 12 months: 'best of' lists, highlights of the year and predictions for 2022 are dominating your inbox. This blog post is not different either. 2020 was definitely eventful , and 2021 came with its own set of surprises. But Pipeline Academy finally managed to get off the ground, we've launched three amazing cohorts and had loads of fun together with people from across the globe — literally.

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Install and Run Cockpit on Linux Virtual Machines

WeCloudData

Objectives This tutorial will walk you through installing the user-friendly Linux sysadmin web console tool Cockpit Prerequisites Installed Linux OS (this tutorial uses the Debian-based Linux distro Ubuntu) Introduction Linux is extremely useful and powerful but due to its flexibility, extensibility, and versatility as an operating system with a plethora of utilities, it can be overwhelming for beginners and even seasoned veterans.

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The Best ETL Tools in 2021

KDnuggets

If you have clear, well-defined objectives, it won’t be hard to identify the ETL technology that best meets your needs. Here are some of the best ETL tools you can use in your business.

ETL Tools 134
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Data Mesh and the Watchmaker

Teradata

By using the analogy of a watchmaker to better understand data mesh, we see data products in the context of gears, with each gear serving a unique purpose. Read more.

Data 52
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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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Understanding the Superset Semantic Layer

Preset

After a decade of acquisitions in the BI space, Apache Superset remained one of the few open-source BI tools left with a semantic layer.

BI 52
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Launch Linux Virtual Machines with Multipass

WeCloudData

Objectives The following tutorial will demonstrate how to use a convenient tool from Canonical called Multipass to launch Ubuntu Linux virtual machines with ease Prerequisites Linux, MacOS or Windows Operating System Minimum 4 GB RAM (8 GB preferred) Introduction Linux is an essential building block in almost all IT ecosystems powering web servers, mobile phones and IoT devices globally.

Cloud 52
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Tips & Tricks of Deploying Deep Learning Webapp on Heroku Cloud

KDnuggets

Check out these key development issues and tips learned from personal experience when deploying a TensorFlow-based image classifier Streamlit app on a Heroku server.

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Tagless Final in Scala Quickly Explained

Rock the JVM

Demystify the tagless final pattern in Scala: it's not about type classes

Scala 52
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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.