January, 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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5 Common Pitfalls When Using Apache Kafka

Confluent

Whether you’re a seasoned Apache Kafka® developer or just getting started you’re likely to hit a snag at some point or another—either in configuring and understanding your clients or setting […].

Kafka 138
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Airflow TaskGroups: All you need to know!

Marc Lamberti

Airflow TaskGroups have been introduced to make your DAG visually cleaner and easier to read. They are meant to replace SubDAGs which was the historic way of grouping your tasks. The problem with SubDAGs is that they are much more than that. They bring a lot of complexity as you need to create a DAG in a DAG, import the SubDagOperator which is in fact a sensor, define the parameters properly, and so on.

Coding 130
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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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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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A busy year ahead in low-code and no-code development

DataKitchen

The post A busy year ahead in low-code and no-code development first appeared on DataKitchen.

Coding 110

More Trending

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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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The Link To Cloud: How to Build a Seamless and Secure Hybrid Data Bridge with Cluster Linking

Confluent

Chances are your business is migrating to the cloud. But if you operate business applications in an on-premises datacenter, you know firsthand that the journey to the cloud is fraught […].

Cloud 124
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Effective Pandas Patterns For Data Engineering

Data Engineering Podcast

Summary Pandas is a powerful tool for cleaning, transforming, manipulating, or enriching data, among many other potential uses. As a result it has become a standard tool for data engineers for a wide range of applications. Matt Harrison is a Python expert with a long history of working with data who now spends his time on consulting and training. He recently wrote a book on effective patterns for Pandas code, and in this episode he shares advice on how to write efficient data processing routines

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Security Reference Architecture Summary for Cloudera Data Platform

Cloudera

This blog will summarise the security architecture of a CDP Private Cloud Base cluster. The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. The release of CDP Private Cloud Base has seen a number of significant enhancements to the security architecture including: Apache Ranger for security policy management.

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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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How to Make A Successful Comeback After A Career Break

U-Next

At a recent training for fresher hire as part of an MNC’s analytics training program, my colleague Dr. Chetana highlighted that only 10% of the hires were women. TrustRadius reported that in 2021, 72% of women in tech are outnumbered by men in business meetings by at least a 2:1 ratio. Women are less than 1/3rd of the employees in many tech companies.

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Why Humbling Yourself Will Improve Your Data Science Skills

KDnuggets

Your first job is always going to be frightening. You will feel anxious and nervous to speak your own opinion. I will go through a few points that I believe everybody should incorporate into their work and personal life.

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Trend-Setting Products in Data and Information Management for 2022

DataKitchen

The post Trend-Setting Products in Data and Information Management for 2022 first appeared on DataKitchen.

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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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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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A Reflection On Learning A Lot More Than 97 Things Every Data Engineer Should Know

Data Engineering Podcast

Summary The Data Engineering Podcast has been going for five years now and has included conversations and interviews with a huge number of guests, covering a broad range of topics. In addition to that, the host curated the essays contained in the book "97 Things Every Data Engineer Should Know", using the knowledge and context gained from running the show to inform the selection process.

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How Data is Helping Organizations to Improve the Employee Lifecycle

Cloudera

Each year, the Cloudera Data Impact Awards recognize organizations that have accomplished amazing things with innovative data solutions. . For 2021, the awards will include a new category: People First. Entrants in this category were asked to demonstrate how they have addressed the world’s “most difficult workplace and societal challenges” with solutions aimed at transforming work culture and society as a whole.

Banking 101
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Critical Thinking Questions 2021: Everything You Need to Know!

U-Next

Introduction. The evolution of workplaces has seen people being hired for more than just their educational qualifications. The criteria for being hired has seen a tremendous shift in the digital age. Along with skill and knowledge in the necessary domain, companies are keen on hiring professionals with strong critical thinking capabilities. This ensures that the employees are able to deal with real-time issues with a practical approach. .

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Top Programming Languages and Their Uses

KDnuggets

The landscape of programming languages is rich and expanding, which can make it tricky to focus on just one or another for your career. We highlight some of the most popular languages that are modern, widely used, and come with loads of packages or libraries that will help you be more productive and efficient in your work.

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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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Data Science and AI Predictions for 2022

DataKitchen

The post Data Science and AI Predictions for 2022 first appeared on DataKitchen.

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Auto-Balance and Optimize Apache Kafka Clusters with Improved Observability and Elasticity in Confluent Platform 7.0

Confluent

While Self-Balancing Clusters (SBC) perform effectively in balancing Apache Kafka® clusters, one of the common themes we hear from our users is that they would love some visibility into the […].

Kafka 105
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The Importance Of Data Contracts As The Interface For Data Integration With Abhi Sivasailam

Data Engineering Podcast

Summary Data platforms are exemplified by a complex set of connections that are subject to a set of constantly evolving requirements. In order to make this a tractable problem it is necessary to define boundaries for communication between concerns, which brings with it the need to establish interface contracts for communicating across those boundaries.

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Auto-Diagnosis and Remediation in Netflix Data Platform

Netflix Tech

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. As our subscribers grow worldwide and Netflix enters the world of gaming , the number of batch workflows and real-time data pipelines increases rapidly. The data platform is built on top of several distributed systems, and due to the inherent nature of these systems, it is inevitable that these workloads run into fa

Kafka 97
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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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“I Would Recommend This Course To Anyone Who’s Interested In Pursuing Business Analytics” – That’s What Our Learners Say!

U-Next

A couple of decades ago, ‘Data’ was analyzed manually. With the advent of data management tools, we were able to computerize the same ‘Data’ for deeper analysis. Thus the trend of driving business decisions via insights drawn from data sets has never been old. However, with the availability of tools to manage and analyze data, the quantity and the quality of data analyzed have improved drastically, thereby increasing the accuracy and the efficacy of data-driven decisions.

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Top Stories, Jan 10-16: Is Data Science a Dying Career?

KDnuggets

Also: Top Five SQL Window Functions You Should Know For Data Science Interviews; A Deep Look Into 13 Data Scientist Roles and Their Responsibilities; SQL Interview Questions for Experienced Professionals; Why Do Machine Learning Models Die In Silence?

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DataOps For Business Analytics Teams

DataKitchen

Business analysts often find themselves in a no-win situation with constraints imposed from all sides. Their business unit colleagues ask an endless stream of urgent questions that require analytic insights. Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics.

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Announcing ksqlDB 0.23.1

Confluent

We’re pleased to announce ksqlDB 0.23.1! This release allows you to now perform pull queries on streams, which makes it much easier to find a given record in a topic. […].

IT 98
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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 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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Avoid Data Sharing Lock-in and Take the Open Road

Teradata

There is a lot of hype today around data sharing and the value it brings to your business. But what exactly is data sharing, and why should you and your company care? Find out more.

Data 97
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Gartner® Magic Quadrant™ for Cloud Database Report Recognizes Cloudera as a Visionary

Cloudera

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases. Our position as a Visionary in the Gartner Magic Quadrant for Cloud DBMS market speaks to our product excellence and market-leading-vision of a hybrid, multifunction integrated platform with built-in security

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6 Data Science Technologies You Need to Build Your Supply Chain Pipeline

KDnuggets

Here are some of the data science technologies needed to build a comprehensive and smooth supply chain pipeline.

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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.