KDnuggets
SEPTEMBER 1, 2022
Subset selection is one of the most frequently performed tasks while manipulating data. Pandas provides different ways to efficiently select subsets of data from your DataFrame.
Data Engineering Podcast
AUGUST 28, 2022
Summary The dream of every engineer is to automate all of their tasks. For data engineers, this is a monumental undertaking. Orchestration engines are one step in that direction, but they are not a complete solution. In this episode Sean Knapp shares his views on what constitutes proper automation and the work that he and his team at Ascend are doing to help make it a reality.
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Cloudera
AUGUST 30, 2022
Firms are burdened with tech debt and endless regulatory compliance, often leaving innovation last to receive the necessary budgets. Data-fuelled innovation requires a pragmatic strategy. This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. Embrace incremental progress. The financial sector’s evolution is unleashing myriad demands on firms operating in the market.
Teradata
AUGUST 29, 2022
Teradata's new offerings, VantageCloud Lake and ClearScape Analytics, make it the complete cloud analytics & data platform, with cloud-native deployment and expanded analytics capabilities.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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
AUGUST 31, 2022
When building a predictive model, the quality of the results depends on the data you use. In order to do so, you need to understand the difference between training and testing data in machine learning.
Data Engineering Podcast
AUGUST 28, 2022
Summary AirBnB pioneered a number of the organizational practices that have become the goal of modern data teams. Out of that culture a number of successful businesses were created to provide the tools and methods to a broader audience. In this episode several almuni of AirBnB’s formative years who have gone on to found their own companies join the show to reflect on their shared successes, missed opportunities, and lessons learned.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Teradata
SEPTEMBER 1, 2022
Financial services organizations that exhibit true data literacy avoid bottlenecks and instead choose to build best in class solutions that meet current and future needs. Find out more.
KDnuggets
SEPTEMBER 2, 2022
Decision trees are a machine learning algorithm that is susceptible to overfitting. One of the techniques you can use to reduce overfitting in decision trees is pruning.
Confluent
AUGUST 31, 2022
Kafka Raft lets you use Apache Kafka without ZooKeeper by consolidating metadata management. Here’s how you can learn and do more with KRaft.
Cloudera
AUGUST 30, 2022
Data is the fuel that drives government, enables transparency, and powers citizen services. But while state and local governments seek to improve policies, decision making, and the services constituents rely upon, data silos create accessibility and sharing challenges that hinder public sector agencies from transforming their data into a strategic asset and leveraging it for the common good. .
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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?
Rockset
SEPTEMBER 2, 2022
I recently had the good fortune to host a small-group discussion on personalization and recommendation systems with two technical experts with years of experience at FAANG and other web-scale companies. Raghavendra Prabhu (RVP) is Head of Engineering and Research at Covariant , a Series C startup building an universal AI platform for robotics starting in the logistics industry.
KDnuggets
AUGUST 29, 2022
This free online book is a fantastic resource on how to structure, manage, and maintain your real-world data science projects.
Confluent
SEPTEMBER 1, 2022
All the best data streaming resources, tips, and guides to help you learn introductory concepts, streaming architecture basics, common tools and technologies, and more.
Monte Carlo
SEPTEMBER 1, 2022
Data engineering is a relatively young profession, even for the tech space. To put it in perspective, front-end engineering has twice the number of years in industry maturity. While the role itself is rapidly evolving, the tooling, processes, and team structure are fragmented and amorphous at best. As a result, the day-to-day responsibilities of a data engineer can look radically different from one company to another, depending on the needs of the business and the data that drives it.
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
AUGUST 30, 2022
Semantic layer, Python model support, the new dbt Cloud UI and IDE… there’s a lot our product team is excited to share with you at Coalesce in a few weeks. But how these things fit together—because of where dbt Labs is headed—is what I’m most excited to discuss. You’ll hear more in Tristan’s keynote , but this feels like a good time to remind you that Coalesce isn’t just for answering tough questions… it’s for surfacing them.
KDnuggets
AUGUST 31, 2022
In this article, we will learn about metadata stores, the need for them, their components, and metadata store management.
ProjectPro
AUGUST 30, 2022
This article will walk you through how one can start by exploring a loan prediction system as a data science and machine learning problem and build a system/application for loan prediction using your own machine learning project. Loan sanctioning and credit scoring forms a multi-billion dollar industry -- in the US alone. With everyone from young students, entrepreneurs, and multi-million dollar companies turning to banks to seek financial support for their ventures, processing these application
Monte Carlo
AUGUST 29, 2022
Occasionally, we’ll talk with data teams interested in applying data quality monitoring narrowly across only a specific set of key tables. The argument goes something like: “You may have hundreds or thousands of tables in your environment, but most of your business value derives from only a few that really matter. That’s where you really want to focus your efforts.
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.
Knoldus
AUGUST 30, 2022
Reading Time: 6 minutes Introduction Machine learning is a subfield of computer science. Used to deal with the construction of artificial intelligence systems that can learn without being explicitly programmed. It has been applied in many areas such as data analysis, pattern recognition, and understanding human behavior. MarkLogic combines database internals, search-style indexing, and application server behavior into a unified system.
KDnuggets
AUGUST 29, 2022
Learn a simple way to append rows in the form of arrays, dictionaries, series, and dataframes to another dataframe.
AltexSoft
AUGUST 27, 2022
According to McKesson, a company with a two-hundred-year history delivering a third of all drugs across North America, you need around six months to start a pharmacy and another seven to nine months to see any revenue. If this seems too long and complex, just make a comparison with a drug development process. It takes at least ten years and $2.6 billion to get a new medicine to the market.
Rock the JVM
AUGUST 28, 2022
Discover sbt: The popular Scala build tool that simplifies project management and enhances productivity
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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.
Confluent
SEPTEMBER 2, 2022
Manage connectors declaratively with Confluent for Kubernetes.
KDnuggets
AUGUST 31, 2022
This article provides insights into how leading data scientists are embracing machine learning in their organizations and covers some of the major ML challenges and trends in the enterprise.
Monte Carlo
AUGUST 29, 2022
In the world of data engineering, data discovery refers to the ability to find relevant data sets across your data platform and understand their context. Data discovery makes data engineering and analytical engineering tasks more efficient and can enable self-service access for other types of data consumers. Just like knowledge workers need to tap into a shared repository to discover and combine relevant information across documents or slide decks, data professionals need to do the same with dat
KDnuggets
AUGUST 30, 2022
In this article, we will discuss the benefits of natural language AI for content creators, highlighting the key reasons why you should consider using it to improve your content output.
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.
KDnuggets
AUGUST 29, 2022
This article will map out the things you need to do to become a data scientist.
KDnuggets
SEPTEMBER 2, 2022
For this tutorial, we will work through examples to understand how different mehtods for combining Pandas DataFrames work.
KDnuggets
AUGUST 29, 2022
Free Python Project Coding Course • 5 Tricky SQL Queries Solved • Decision Tree Algorithm, Explained • Free AI for Beginners Course • The Complete Collection of Data Science Projects & Part 2.
KDnuggets
AUGUST 31, 2022
The Complete Data Science Study Roadmap • 7 Techniques to Handle Imbalanced Data • 3 Ways to Append Rows to Pandas DataFrames • The Bias-Variance Trade-off • How to Package and Distribute Machine Learning Models with MLFlow.
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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