KDnuggets
JULY 26, 2022
The 5 hardest things Josh Berry, a 15 year analytics professional, experienced while switching from Python to SQL. Offering examples, SQL code, and a resource to customize the SQL to your own project.
Confluent
JULY 26, 2022
Explore GitHub Actions for your Kafka CI/CD pipeline, automate Schema Registry, and transform the development and testing of Kafka client applications.
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Data Engineering Podcast
JULY 24, 2022
Summary The current stage of evolution in the data management ecosystem has resulted in domain and use case specific orchestration capabilities being incorporated into various tools. This complicates the work involved in making end-to-end workflows visible and integrated. Dagster has invested in bringing insights about external tools’ dependency graphs into one place through its "software defined assets" functionality.
Teradata
JULY 25, 2022
For many, banking is now a digital activity. But the financial services industry still trails many others in leveraging cloud technologies to build deeper, emotional attachments to their customers.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
KDnuggets
JULY 25, 2022
Looking for a great course to go from machine learning zero to hero quickly? fast.ai has released the latest version of Practical Deep Learning For Coders. And it won't cost you a thing.
Cloudera
JULY 29, 2022
Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). Many organizations are hoping to leverage these massive amounts of data by investing heavily in big data solutions – solutions that they hope can meet business goals such as increasing customer satisfaction, uncovering alternative revenue streams, or improving operational efficiency.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Confluent
JULY 28, 2022
Complete guide to data pipelines, data integration, and modern data flow, the key to next generation, data-driven applications, systems, and organizations.
KDnuggets
JULY 27, 2022
Calculus for Data Science • Real-time Translations with AI • Using Numpy's argmax() • Using the apply() Method with Pandas DataFrames • An Introduction to Hill Climbing Algorithm in AI.
AltexSoft
JULY 29, 2022
What does it take to store all New York Times articles published between 1855 and 1922? Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. The biggest star of the Big Data world, Hadoop was named after a yellow stuffed elephant that belonged to the 2-year son of computer scientist Doug Cutting.
Rockset
JULY 29, 2022
Enterprise data warehouses (EDWs) became necessary in the 1980s when organizations shifted from using data for operational decisions to using data to fuel critical business decisions. Data warehouses differ from operational databases in that while operational transactional databases collate data for multiple transactional purposes, data warehouses aggregate this transactional data for analytics.
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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?
Databand.ai
JULY 28, 2022
What is Data Lineage? Niv Sluzki 2022-07-28 10:20:02 The term “data lineage” has been thrown around a lot over the last few years. What started as an idea of connecting between datasets quickly became a very confusing term that now gets misused often. It’s time to put order to the chaos and dig deep into what it really is. Because the answer matters quite a lot.
KDnuggets
JULY 26, 2022
This article will focus on a step-by-step data drift study using Eurybia an open-source python library.
Monte Carlo
JULY 28, 2022
There are virtually an unlimited number of ways data can break. It could be a bad JOIN statement, an untriggered Airflow job, or even just someone at a third-party provider who didn’t feel like hitting the send button that day. But perhaps one of the most common reasons for data quality challenges are software feature updates and other changes made upstream by software engineers.
Rockset
JULY 28, 2022
MongoDB has grown from a basic JSON key-value store to one of the most popular NoSQL database solutions in use today. It is widely supported and provides flexible JSON document storage at scale. It also provides native querying and analytics capabilities. These attributes have caused MongoDB to be widely adopted especially alongside JavaScript web applications.
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.
dbt Developer Hub
JULY 26, 2022
TLDR: The Semantic Layer is made up of a combination of open-source and SaaS offerings and is going to change how your team defines and consumes metrics. At last year's Coalesce, Drew showed us the future 1 - a vision of what metrics in dbt could look like. Since then, we've been getting the infrastructure in place to make that vision a reality. We wanted to share with you where we are today and how it fits into the broader picture of where we're going.
KDnuggets
JULY 27, 2022
If you incorporate domain knowledge into your architecture and your model, it can make it a lot easier to explain the results, both to yourself and to an outside viewer. Every bit of domain knowledge can serve as a stepping stone through the black box of a machine learning model.
U-Next
JULY 27, 2022
Every layer of business operations today uses the power of metrics and analytics to enhance their market growth and business success. With the fourth industrial revolution increasing the dependency on emerging technologies like Data Science, Cloud Computing, IoT, Business Analytics, etc., the need to master the nuances of the same is relatively high.
Emeritus
JULY 26, 2022
Data science has become an integral part of every company, especially those who understand the value of data and what can be done with that information. The primary role of a data scientist is to extract actionable insights from complex data to inform your business decisions. If you are wondering how to become a data… The post How to Become a Data Scientist in 2022: The Ultimate Guide appeared first on Emeritus Online Courses.
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.
Monte Carlo
JULY 26, 2022
I’m a huge fan of Apache Airflow and how the open source tool enables data engineers to scale data pipelines by more precisely orchestrating workloads. But what happens when Airflow testing doesn’t catch all of your bad data? What if “unknown unknown” data quality issues fall through the cracks and affect your Airflow jobs? One helpful but underutilized solution is to leverage the Airflow ShortCircuitOperator to create data circuit breakers to prevent bad data from flowing across your data
KDnuggets
JULY 25, 2022
Normalization is a good technique to use when your data consists of being scaled and your choice of machine learning algorithm does not have the ability to make assumptions on the distribution of your data.
dbt Developer Hub
JULY 25, 2022
If you’ve needed to grant access to a dbt model between 2019 and today, there’s a good chance you’ve come across the "The exact grant statements we use in a dbt project" post on Discourse. It explained options for covering two complementary abilities: querying relations via the "select" privilege using the schema those relations are within via the "usage" privilege The solution then Prior to dbt Core v1.2, we proposed three possible approaches (each coming with caveats and trade-offs ): Using
Picnic Engineering
JULY 26, 2022
The most important thing for a successful analytics strategy. Data Mesh, or Hub-and-Spoke? Is “lakeless” a thing!? … and other reflections on building data governance. Since the publication of the first blog post in this series, we have received numerous questions via social media, direct messages, public posts, and meet-up discussions. It’s been truly amazing to see so much interest and, as promised, we will address the most frequently raised topics in this post.
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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.
U-Next
JULY 25, 2022
Introduction . Spring Framework (Spring) is an open-source application framework that provides infrastructure assistance to develop Java applications. Spring is one of the most popular Java Enterprise Edition (Java EE) frameworks, which assists developers in creating high-performance applications using plain old Java objects (POJOs). It is used for developing stand-alone, production-grade applications on the Java Virtual Machine (JVM).
KDnuggets
JULY 25, 2022
Free Python Automation Course • Machine Learning Algorithms Explained in Less Than 1 Minute Each • Parallel Processing Large File in Python • 12 Most Challenging Data Science Interview Questions • Decision Tree Algorithm, Explained.
AltexSoft
JULY 23, 2022
In October 2019, Microsoft reported artificial intelligence helped manufacturing companies outperform rivals stating that manufacturers adopting AI perform 12 percent better than their competitors.Therefore, we are likely to see the outburst of AI-based technologies in manufacturing along with the advent of new highly-paid workplaces in this area. In this article, we’ll highlight 5 use cases of adopting AI-based technologies in manufacturing.
Zalando Engineering
JULY 25, 2022
We recently closed out our annual performance review for employees. Naturally, this period is for us to focus on how we are performing, what we aspire to achieve, and how we can progress towards those goals, with the support of our leads. As a leader, I’ve spent a great deal of time working with Software Engineers on their development, and helping them to drive their career progression.
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.
U-Next
JULY 25, 2022
Is working in cyber security your dream job? If yes, this is the right place for you to learn how to become a cyber security expert and your role in the tech industry. Introduction. Cybersecurity aims at preventing cyber threats and protecting information and information systems. It includes protecting the company’s valuable information, hardware, software, and network.
KDnuggets
JULY 28, 2022
Learn about the k-nearest neighbours algorithm, one of the most prominent workhorse machine learning algorithms there is, and how to implement it using Scikit-learn in Python.
Propel Data
JULY 27, 2022
Snowflake uses databases for data storage, while a “Snowflake warehouse” is a virtual computing cluster that processes analytical queries.
Monte Carlo
JULY 25, 2022
There’s a lot of content out there about why a data mesh is (or isn’t) the best thing since sliced bread. But one thing’s for sure: if you can’t trust the data powering your analytics architecture, it’s hard to justify the investment. Here’s how Snowflake and Monte Carlo are working together to help data teams realize the potential of the data mesh with end-to-end data observability.
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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