databricks

SEPTEMBER 23, 2024

We are excited to announce that Databricks now supports Amazon EC2 G6 instances powered by NVIDIA L4 Tensor Core GPUs. This addition marks.

Data Science 131

Data Science Engineering Data 131

Start Data Engineering

SEPTEMBER 23, 2024

1. Introduction 2. Steps to decide on a data project to build 2.1. Objective 2.2. Research 2.2.1. Job description 2.2.2. Potential referral/hiring manager research 2.2.3. Company research 2.3. Data 2.3.1. Dataset Search 2.3.2. Generate fake data 2.4. Outcome 2.4.1. Visualization 2.5. Presentation 3. Conclusion 4. Read these 1.

Portfolio 130

Portfolio Project Datasets Data 130

KDnuggets

SEPTEMBER 23, 2024

NumPy is a powerful Python library, which supports many mathematical functions that can be applied to multi-dimensional arrays. In this short tutorial, you will learn how to calculate the eigenvalues and eigenvectors of an array using the linear algebra module in NumPy. Calculating the Eigenvalues and Eigenvectors in NumPy In order to explore.

Python 125

Python 125

Precisely

SEPTEMBER 23, 2024

Are mainframes still relevant today? You bet! The following ten statistics paint a picture that shows mainframes are still going strong, with no signs of slowing. 1. The Mainframe Turns 60: A Milestone in Computing History. 60 years can really fly by! On April 7, 2024 , the Mainframe turned 60. At this milestone, we should all reflect on what the mainframe has done to the computing industry.

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Banking Insurance Finance Systems 116

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In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

Data Pipeline

KDnuggets

SEPTEMBER 23, 2024

It's important to transform data for effective data analysis. R's 'dplyr' package makes data transformation simple and efficient. This article will teach you how to use the dplyr package for data transformation in R. Install dplyr Before using dplyr, you must install and load it into your R session. Now you’re ready to.

Data Analysis 120

Data Analysis Data IT 120

ArcGIS

SEPTEMBER 23, 2024

Metadata, the data about your data, is incredibly important, and Data Interoperability can help you create, manage, and maintain that data.

Metadata 108

Metadata Data Management Data Management 108

ArcGIS

SEPTEMBER 23, 2024

Metadata, the data about your data, is incredibly important, and Data Interoperability can help you create, manage, and maintain that data.

Metadata 96

Metadata Data Management Data Management 96

KDnuggets

SEPTEMBER 23, 2024

If you’ve been keeping up, I have been creating a series of free courses that are actually free, for example, the AI & ML Edition. Type in ‘Free courses that are actually free’ in the search bar to look at the rest. In this blog, I will dive into free courses with Google, from programming.

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Google Cloud Cloud Programming 92

Cloudera

SEPTEMBER 23, 2024

We’re more than a week into Hispanic Heritage Month, which started on September 15 and continues through October 15. This month is an annual celebration in the United States that honors the contributions, culture, and achievements of Hispanic and Latinx Americans. Over the next few weeks, we’ll be gathering with fellow Clouderans to reflect on and celebrate, the achievements of the Hispanic and Latinx communities here in the U.S. and across the globe.

Building 92

Building IT 92

Tweag

SEPTEMBER 23, 2024

The Python programming language, and its huge ecosystem (there are more than 500,000 projects hosted on the main Python repository, PyPI ), is used both for software engineering and scientific research. Both have similar requirements for reproducibility. But, as we will see, the practices are quite different. In fact, the Python ecosystem and community is notorious for the countless ways it uses to declare dependencies.

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Python Project Metadata Datasets 57

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Data

Confluent

SEPTEMBER 23, 2024

Check out this technical recap of Current 2024 keynotes and sessions for an overview of what data streaming engineers are learning and building today.

Engineering 52

Engineering Data Building 52

Cloudyard

SEPTEMBER 23, 2024

Read Time: 3 Minute, 51 Second In this post, we’ll explore the application of masking policies on external tables in Snowflake. While masking policies are commonly implemented on permanent tables, there are scenarios where sensitive data may reside in external sources, such as files in S3, which do not need to be fully ingested into Snowflake.

Data 52

Data Process Management 52

Confluent

SEPTEMBER 23, 2024

New executive to lead Confluent’s growth in public sector

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RandomTrees

SEPTEMBER 23, 2024

In the first part of Data Governance with Unity Catalog , we explored the fundamentals of Unity Catalog, including its core features, advantages, and a comparison with other data catalog tools. We also delved into the object hierarchy in the metastore, setting the foundation for a comprehensive understanding of this powerful governance solution. Now, in this part, we will continue our deep dive by examining the critical admin roles in Unity Catalog, uncovering how data lineage is captured and vi

Data Governance 52

Data Governance Government Scala Data 52

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

Systems

Knowledge Hut

SEPTEMBER 23, 2024

Many of us have heard about project management, especially as an upcoming career path. But only a few know the actual drill. Project management encompasses several phases: initiation, planning, execution, monitoring, and closure. Every stage is an activity in project management. Whether you are an experienced project manager looking to upgrade your skills or a curious beginner for insights into the art of successful projects, this fundamental guide will educate you with knowledge and tools to wo

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Project Management Education Certification 52

Edureka

SEPTEMBER 23, 2024

Introduction You must be wondering what is Artificial Intelligence? Artificial Intelligence (AI) is transforming the way we live and work. As AI technologies become more prevalent, the demand for professionals with the right AI skills is growing rapidly. Whether you’re an aspiring AI/ML engineer, a data scientist, or someone interested in AI ethics, knowing the essential AI required skills can help you stand out in this competitive field.

Deep Learning 40

Deep Learning Programming Language Algorithm Machine Learning 40

Edureka

SEPTEMBER 23, 2024

Currently, two fields are critical and in demand – Data Science and Artificial Intelligence (AI). Though these terms and their usage are very close, they are two separate fields with their characteristics, and the field of statistics is narrower and focused differently. To overview data science and AI, it is necessary to explain the principles of the work of each field and their similarities and differences.

Data Science 40

Data Science Data Mining Computer Science Finance 40