Sat.Jan 22, 2022 - Fri.Jan 28, 2022

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The Best Python Courses: An Analysis Summary

KDnuggets

What does the data reveal if we ask: "What are the 10 Best Python Courses?". Collecting almost all of the courses from top platforms shows there are plenty to choose from, with over 3000 offerings. This article summarizes my analysis and presents the top three courses.

Python 160
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Building an Analytics API with GraphQL: The Next Level of Data Engineering?

Simon Späti

Image by Mohammad Bagher Adib Behrooz on Unsplash Why GraphQL for data engineers, you might ask? GraphQL solved the problem of providing a distinct interface for each client by unifying it to a single API for all clients such as web, mobile, web apps. The same challenge we’re now facing in the data world, where we integrate multiple clients with numerous backend systems.

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Why Choose a Hybrid Data Cloud in Financial Services?

Cloudera

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts. Private cloud continues to gain traction with firms realizing the benefits of greater flexibility and dynamic scalability.

Cloud 120
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What’s New in Apache Kafka 3.1.0

Confluent

On behalf of the Apache Kafka® community, it is my pleasure to announce the release of Apache Kafka 3.1.0. The 3.1.0 release contains many improvements and new features. We’ll highlight […].

Kafka 105
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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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3 Reasons Why Data Scientists Should Use LightGBM

KDnuggets

There are many great boosting Python libraries for data scientists to reap the benefits of. In this article, the author discusses LightGBM benefits and how they are specific to your data science job.

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Three Ways Integrated Data Can Deliver Outstanding Customer Experience

Teradata

The use of integrated data to restore customer confidence will be big in 2022. Building a customer insights foundation should be high on the to-do list for retail & CPG businesses this year.

Retail 105

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Fire Your Super-Smart Data Consultants with DataOps

DataKitchen

Analytics are prone to frequent data errors and deployment of analytics is slow and laborious. The strategic value of analytics is widely recognized, but the turnaround time of analytics teams typically can’t support the decision-making needs of executives coping with fast-paced market conditions. Perhaps it is no surprise that the average tenure of a CDO or CAO is only about 2.5 years.

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Deep Learning with Python: Second Edition by François Chollet

KDnuggets

Now in print! New edition of the bestselling original by François Chollet.

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96 Percent of Businesses Can’t Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

Cloudera

According to 451 Research , 96% of enterprises are actively pursuing a hybrid IT strategy. Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Cloud technologies and respective service providers have evolved solutions to address these challenges. . The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on

Cloud 92
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Building And Managing Data Teams And Data Platforms In Large Organizations With Ashish Mrig

Data Engineering Podcast

Summary Data engineering is a relatively young and rapidly expanding field, with practitioners having a wide array of experiences as they navigate their careers. Ashish Mrig currently leads the data analytics platform for Wayfair, as well as running a local data engineering meetup. In this episode he shares his career journey, the challenges related to management of data professionals, and the platform design that he and his team have built to power analytics at a large company.

Building 100
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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Fixing Performance Regressions Before they Happen

Netflix Tech

Angus Croll Netflix is used by 222 million members and runs on over 1700 device types ranging from state-of-the-art smart TVs to low-cost mobile devices. At Netflix we’re proud of our reliability and we want to keep it that way. To that end, it’s important that we prevent significant performance regressions from reaching the production app. Sluggish scrolling or late rendering is frustrating and triggers accidental navigations.

Coding 84
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Getting Started Cleaning Data

KDnuggets

In order to achieve quality data, there is a process that needs to happen. That process is data cleaning. Learn more about the various stages of this process.

Data 149
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Customizing Personal Lines Insurance with Location Data

Cloudera

Insurers are increasingly adopting data from smart devices and related technologies to support and service their customers better. According to Statista , the projected installed base of IOT devices is expected to increase to 30.9 billion units by 2025, a huge jump from the 13.8 billion units that exist today. I have been researching more about how we can use the new data from those devices to design more innovative insurance products while being aware that these should all be contingent upon cu

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AWS and Confluent Announce Deepened Strategic Collaboration

Confluent

Today we’re announcing an exciting Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS). This new five-year agreement builds on our strong existing collaboration, with the goal of making it […].

AWS 59
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Analytics Engineer: Job Description, Skills, and Responsibilities

AltexSoft

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Quoting a comment from the Reddit discussion , “Their [analytics engineers] job is to marry the technical requirements of the data stack with the business objectives”.

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What to Expect From Your Career Path as a Data Scientist

KDnuggets

Learn about the roles between you and the Director of Data Science.

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Data for Good

Cloudera

Many organizations initiate data projects because they want to increase revenue, but a select few tackle projects that truly transform society. . This year, Cloudera is recognizing three organizations as finalists in the Data for Good category of its annual Data Impact Awards : Union Bank of the Philippines, Keck Medicine of USC, and the National Bone Marrow Donor Program.

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Running an NGINX Ingress Controller for each Kubernetes Namespace

Hepta Analytics

You may find yourself needing to deploy multiple NGINX Ingress Controllers to serve each namespace on your Kubernetes cluster. This may be useful in a scenario where you have multiple client deployments on the same K8S cluster; and you want to assign a public load balancer IP address for each client to achieve logical separation. This blogpost explores how to do that.

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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 do Anomaly Detection using Machine Learning in Python?

ProjectPro

In data science, algorithms are usually designed to detect and follow trends found in the given data. The modeling follows from the data distribution learned by the statistical or neural model. In real life, the features of data points in any given domain occur within some limits. They will only go outside of these expected patterns in exceptional cases, which are usually erroneous or fraudulent.

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How to Set Up Your Data Science Stack on a Budget

KDnuggets

Whether you’re working independently or setting up a stack for a company, you need an affordable stack option. Here’s how you can set up your stack without spending too much.

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Case Study: Real-Time Insights Help Propel 10X Growth at E-Learning Provider Seesaw

Rockset

Seesaw Learning Inc. provides a leading online student learning platform used by more than 10 million K-12 teachers, students and family members in the U.S. every month. The San Francisco company has grown steadily since its founding in 2013, with its hosted service in use in 75% of American schools and in another 150 countries. Of course, when COVID-19 hit in early 2020 and forced schools to abruptly switch to full-time remote learning, the need for Seesaw’s platform skyrocketed.

NoSQL 52
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What is Data Engineering? Skills, Tools, and Certifications

Cloud Academy

Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. This process is generally called “Extract, Transfer, Load” or ETL. The data then gets prepared in formats to be used by people such as business analysts, data analysts, and data scientists. The format of the data will be different depending on the intended audience.

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

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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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Apache Superset 1.4: Release Notes

Preset

Apache Superset 1.4 is now out! This version contains the most number of bug fixes in recent history, a variety of UX improvements, and improved database support.

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Learn Machine Learning 4X Faster by Participating in Competitions

KDnuggets

Participating in competitions has taught me everything about machine learning and how It can help you learn multiple domains faster than online courses.

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Credit Risk Reloaded For A Modern World

Teradata

The prevalence of new business models, emerging global risks & modernization of data processing in the cloud is ushering in a new era for credit risk management & the transformation of risk analytics.

Cloud 52
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Data Hierarchy of Needs

Grouparoo

In psychology, there is a famous construct created by Abraham Maslow called the hierarchy of needs. Put simply, it says that people must first satisfy their basic needs before they can progress to focusing on more nuanced goals. It’s often shown as a pyramid where each need builds on top of the previous one. The goal, of course, is to reach the top.

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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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They Hit The Jackpot: They Indeed Found The Best Program To Master Data Science

U-Next

Before we go on to explain why they made the best decisions and how they have found their ‘Happily Ever After’ in the career with our program, here are some fun facts about the booming Data Science domain – According to Globe Newswire , The global predictive analytics market is expected to become 21.5 billion USD by 2025, growing at a CAGR of 24.5%.

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Fine-Tuning BERT for Tweets Classification with HuggingFace

KDnuggets

In this blog, we used the Hugging Face library to fine-tune BERT on the classification task. We classified tweets related to COVID.

Process 122
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A Beginner’s Guide to Learning PySpark for Big Data Processing

ProjectPro

Did you know that, according to Linkedin, over 24,000 Big Data jobs in the US list Apache Spark as a required skill? Learning Spark has become more of a necessity to enter the Big Data industry. One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this.

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2021 Visual Recap of the Apache Superset Project

Preset

Another year, another visual recap! The Apache Superset project and community has experienced record growth in 2021.

Project 52
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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.