Sat.Apr 16, 2022 - Fri.Apr 22, 2022

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The 8 Basic Statistics Concepts for Data Science

KDnuggets

Understanding the fundamentals of statistics is a core capability for becoming a Data Scientist. Review these essential ideas that will be pervasive in your work and raise your expertise in the field.

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Telco 5G Returns Will Come from Enterprise Data Solutions

Cloudera

This blog post was written by Dean Bubley , industry analyst, as a guest author for Cloudera. . Communications service providers (CSPs) are rethinking their approach to enterprise services in the era of advanced wireless connectivity and 5G networks, as well as with the continuing maturity of fibre and Software-Defined Wide Area Network (SD-WAN) portfolios. .

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Connecting To The Next Frontier Of Computing With Quantum Networks

Data Engineering Podcast

Summary The next paradigm shift in computing is coming in the form of quantum technologies. Quantum procesors have gained significant attention for their speed and computational power. The next frontier is in quantum networking for highly secure communications and the ability to distribute across quantum processing units without costly translation between quantum and classical systems.

SQL 100
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Real-Time Apache Kafka Monitoring and Metrics with Health+

Confluent

When it comes to alerts, monitoring, and support for Apache Kafka®, how do you know when you’ve got a critical problem that needs your immediate attention? You likely won’t be […].

Kafka 98
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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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How to Determine the Best Fitting Data Distribution Using Python

KDnuggets

Approaches to data sampling, modeling, and analysis can vary based on the distribution of your data, and so determining the best fit theoretical distribution can be an essential step in your data exploration process.

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The Sprint towards Digital Healthcare

Cloudera

The pandemic changed our healthcare behaviors. Planned hospital and doctor visits were reduced while telemedicine, for physical and mental health, increased. As healthcare providers and insurers /payers worked through mass amounts of new data, our health insurance practice was there to help. I have noticed a growing excitement with health insurers around the world exploring these data driven types of capabilities, and I am looking forward to experiencing more of this in my personal life while I

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Building a Bridge to the Cloud with Confluent CLI v2

Confluent

In the latest major version update of the Confluent CLI, we’ve packed all of the functionality from our cloud-based ccloud CLI into the existing confluent CLI client! This is a […].

Cloud 78
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Top YouTube Channels for Learning Data Science

KDnuggets

YouTube has become an important element in people's self-development and increase of knowledge. Check out this list of YouTube channels that offer Data Science learning.

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From the Ground Up: The Truth About Data Innovation

Cloudera

Data holds incredible untapped potential for Australian organisations across industries, regardless of individual business goals, and all organisations are at different points in their data transformation journey with some achieving success faster than others. . To be successful, the use of data insights must become a central lifeforce throughout an organisation and not just reside within the confines of the IT team.

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4 Native Snowflake Data Quality Checks & Features You Should Know

Monte Carlo

Adopting a cloud data warehouse like Snowflake is an important investment for any organization that wants to get the most value out of their data. But as teams ingest and transform significant amounts of data across more complex pipelines, it’s crucial that teams leverage native Snowflake data quality features to help ensure data is trustworthy and reliable.

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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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RBAC at Scale, Oracle CDC Source Connector, and More – Q2’22 Confluent Cloud Launch

Confluent

The Confluent Q2 ‘22 cloud bundle, our latest set of product launches, is live and packed full of new features to help your business innovate quickly with real-time data streaming. […].

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A Brief Introduction to Papers With Code

KDnuggets

One-stop shop to learn about state-of-the-art research papers with access to open-source resources including machine learning models, datasets, methods, evaluation tables, and code.

Coding 138
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A Lifetime of Data: Departments of Defense and Veterans Affairs Journey to Genesis

Cloudera

In 2022, it’s hard to believe, that for the first decades of the Information Age, the U.S. military and kept track of health records for millions of active-duty soldiers, sailors, airmen and airwomen, support staff, and retired service people using pens & pencils, typewriters, paper, carbon paper, copy machines, and snail-mail. Unsurprisingly errors were all too common, as people were involved in every transaction.

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WebStorm to VS Code checklist (for nodeJS / TS projects)

nodeSWAT

Do you find yourself waiting when WebStorm internally crunches on something after you’ve opened 5 projects and want to type a function name? Have you had a feeling lately that the great IDE is slower than your typing speed? Have you forgotten that autocomplete even exists because it takes seconds to open and it’s just faster to write everything yourself?

Coding 52
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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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Building Ripple: Engineering Spotlight Pt. 1

Ripple Engineering

Ripple has always embraced the pursuit of big ideas, so it’s no surprise that our engineering teams are equally as ambitious. At Ripple you can choose your own adventure: with RippleNet , get in at ground zero to build the enterprise-grade global payments system for a future powered with crypto; with RippleX , be on the frontlines of web3 with cutting-edge blockchain technology and impactful blockchain use cases.

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A Community for Synthetic Data is Here and This is Why We Need It

KDnuggets

The first open-source platform for synthetic data is here to help educate the broader machine learning and computer vision communities on the emerging technology.

IT 132
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Test-for nofollow

U-Next

igsaw (A Part of UNext) has been a leader in offering learning programs in emerging technologies since 2011. The sole objective of our programs, delivered through renowned learning partners like IIM Indore, Shiv Nadar University, & NASSCOM FutureSkills, is to help learners upskill with industry-relevant curricula, stay relevant & get noticed.

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10 top data science companies to check out in 2022

InData Labs

What is the best data science company? The data science field is evolving rapidly, with new industries and use cases for the technology emerging every day. As businesses strive to capitalize on the insights that can be gleaned from data, they are increasingly turning to data science teams for help. Data-related development and services are. Запись 10 top data science companies to check out in 2022 впервые появилась InData Labs.

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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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The Real-Time Revolution and Digital Economics in the COVID Era

Rockset

Out of all the awfulness created by the COVID-19 global pandemic, a few unexpected silver linings have emerged. One of them is in the field of economics, which in the past year has quietly undergone a revolution, a revolution that mirrors one that is happening in the business world. To an outsider, economics is a field dominated by numbers and statistics.

Banking 52
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Deploy a Machine Learning Web App with Heroku

KDnuggets

In this article, you will learn to deploy a fully functional ML web application in under 3 minutes.

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Don’t Make a Schema Change Before Answering These Five Questions

Monte Carlo

As data professionals, it can often seem easier to address problems with new technology instead of actually getting to the source of the problem. Have too much work on your plate? Try Asana. Struggling with communication between various departments? Let’s use Slack. One too many null values in your executive’s dashboards? Spin up some more data tests.

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Zalando's Machine Learning Platform

Zalando Engineering

To optimize the fashion experience for 46 million of our customers, Zalando embraces the opportunities provided by machine learning (ML). For example, we use recommender systems so you can easily find your favorite shoes or that great new shirt. We want these items to fit you perfectly, so a different set of algorithms is at work to give you the best size recommendations.

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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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Buillding a Real-Time Data Pipeline with Oracle CDC and MarkLogic Using CFK and Confluent Cloud

Confluent

Today, enterprise technology is entering a watershed moment, businesses are moving to end-to-end automation, which requires integrating all data from all sources in real-time. Every industry from Internet to retail […].

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Building a Scalable ETL with SQL + Python

KDnuggets

This post will look at building a modular ETL pipeline that transforms data with SQL and visualizes it with Python and R.

SQL 142
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Is Modern Data Warehouse Architecture Broken? 

Monte Carlo

The data warehouse is the foundation of the modern data stack, so it caught our attention when we saw Convoy head of data Chad Sanderson declare, “ the data warehouse is broken ” on LinkedIn. Of course, Chad isn’t referring to the technology, but how it’s being used. As he sees it, data quality and usability issues arise from the conventional best practice of “dumping” data in the warehouse to be manipulated and transformed afterward to fit the needs of the business.

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The Next Wave of ‘Ops’ Advances on the Data Center

DataKitchen

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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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Data Integrity: Types, Threats, and Countermeasures

AltexSoft

Data systematizes daily processes and governs them by enabling data-driven decisions for businesses and organizations. But in order to analyze the information correctly and profit from it, you should guarantee data integrity. This article explores what data integrity is, what it is not, and why it’s difficult to achieve the integrity. Also, we dive into data integrity threats and propose countermeasures to them.

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How Artificial Intelligence Can Transform Data Integration

KDnuggets

Let's take a look at what goes into creating a foundation for enterprise-wide data intelligence and how AI and ML can permanently transform data integration.

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Machine Learning Books You Need To Read In 2022

KDnuggets

I have a list of Machine Learning books you need to read in 2022; beginner, intermediate, expert, and for everybody.

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Will DeepMind’s AlphaCode Replace Programmers?

KDnuggets

New milestone achieved by AlphaCode in competitive programming. Should software engineers fear for their jobs? Will AI replace us or assist us?

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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.