Waitingforcode
AUGUST 22, 2024
Code organization and assertions flow are both important but even them, they can't guarantee your colleagues' adherence to the unit tests. There are other user-facing attributes to consider as well.
KDnuggets
AUGUST 22, 2024
Have you ever wanted to create your library in Python? Well, it’s achievable and surprisingly quite easy!
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Rock the JVM
AUGUST 22, 2024
By Riccardo Cardin At Rock the JVM, we deeply understand the power of the Kotlin Arrow library and the Raise DSL, and we’ve previously shared our insights in our article on Functional Error Handling in Kotlin, Part 3: The Raise DSL. Now, we’re ready to introduce the crucial topic of testing applications that use the Raise DSL. To fully grasp the concepts we’ll be discussing, it’s essential to have a solid understanding of Kotlin, Arrow library, and the Raise DSL.
databricks
AUGUST 22, 2024
Databricks Workflows is the cornerstone of the Databricks Data Intelligence Platform, serving as the orchestration engine that powers critical data and AI workloads.
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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?
Engineering at Meta
AUGUST 22, 2024
In this talk from AI Infra @ Scale 2024 , Joel Colburn, a software engineer at Meta, technical lead Junqiang Lan, and software engineer Jack Montgomery discuss the second generation of MTIA , Meta’s in-house training and inference accelerator. They cover the co-design process behind building the second generation of Meta’s first-ever custom silicon for AI workloads, including the PyTorch software ecosystem, and the model architectures for Meta’s key applications.
Precisely
AUGUST 22, 2024
Key Takeaways Data fabric and data mesh are modern data management architectures that allow organizations to more easily understand, create, and manage data for more timely, accurate, consistent, and contextual data analytics and operations. Both architectures tackle significant data management challenges such as integrating disparate data sources, improving data accessibility, automating management processes, and ensuring data governance and security.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
KDnuggets
AUGUST 22, 2024
The article highlights five top free machine learning courses to enhance your skills.
Snowflake
AUGUST 22, 2024
Uncertainty is the new norm for today’s brand advertisers and advertising agencies. Google has once again changed its stance on third-party cookies, keeping them for at least the time being. With the future of cookies still uncertain, many advertisers have already been preparing to use alternative targeting strategies, such as first-party data and contextual targeting.
Data Science Blog: Data Engineering
AUGUST 22, 2024
Sponsored Post Generative AI is a significant part of the technology landscape. The effectiveness of generative AI is linked to the data it uses. Similar to how a chef needs fresh ingredients to prepare a meal, generative AI needs well-prepared, clean data to produce outputs. Businesses need to understand the trends in data preparation to adapt and succeed.
Hevo
AUGUST 22, 2024
Businesses today rely heavily on efficient data integration and ETL (Extract, Transform, Load) tools to manage and analyze their data. Choosing the right tool can significantly impact an organization’s ability to process and utilize data effectively. AWS Glue and Informatica are prominent players offering unique features and benefits.
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.
Striim
AUGUST 22, 2024
It’s increasingly necessary for businesses to make immediate decisions. More importantly, it’s crucial these decisions are backed up with data. That’s where real- time analytics can help. Whether you’re a SaaS company looking to release a new feature quickly, or own a retail shop trying to better manage inventory, these insights can empower businesses to assess and act on data quickly to make better decisions.
Hevo
AUGUST 22, 2024
In the world of data engineering, the choice of tools can significantly impact the efficiency and scalability of your data workflows. Two popular options are Airbyte and Apache Airflow. Both tools serve distinct purposes but often get compared due to their roles in managing data pipelines.
DataKitchen
AUGUST 22, 2024
Data Quality Circles: The Key to Elevating Data and Analytics Team Performance Introduction: The Pursuit of Quality in Data and Analytic Teams. According to a study by HFS Research, 75 percent of business executives do not have a high level of trust in their data. High-quality data underpins the reliability of insights, models’ accuracy, and decision-making processes’ efficacy.
Edureka
AUGUST 22, 2024
Prompt engineering has become one of the most important areas in artificial intelligence, with companies seeking experienced professionals. This article will provide extensive information on prompt engineering salary, which has been rapidly changing in the recent past; the elements affecting salaries; the average wage and compensation; various career advancements; the influence of certifications on salaries; and the likely trends of salary in the near future.
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.
Rock the JVM
AUGUST 22, 2024
An extensive guide to testing functional Kotlin code using Arrow and the Raise DSL
databricks
AUGUST 22, 2024
Today, we're excited to announce the launch of Data Warehouse Brickbuilder Migration Solutions. This is an expansion to the Brickbuilder Program , which.
RandomTrees
AUGUST 22, 2024
Future Trends in Business Intelligence Business intelligence (BI) continues to evolve rapidly, driven by technological advancements and changing business needs. Here are some of the key trends currently transforming the BI landscape: 1. Artificial Intelligence and Machine Learning Integration AI and machine learning are becoming increasingly central to BI solutions.
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