Sat.Sep 21, 2024 - Fri.Sep 27, 2024

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How to decide on a data project for your portfolio

Start Data Engineering

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
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AI (LLMs) and Software Engineering (Writing Code)

Confessions of a Data Guy

I recently wrote on my Substack (Data Engineering Central) about how I used the new OpenAI o1 model to do some basic Data Engineering tasks surrounding PostgreSQL. It did ok. I’ve also been using CoPilot and ChatGPT for over a year now to assist me with my daily code that I have to write for […] The post AI (LLMs) and Software Engineering (Writing Code) appeared first on Confessions of a Data Guy.

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7 Steps to Mastering Coding for Data Science

KDnuggets

Are you an aspiring data scientist or early in your data science career? If so, you know that you should use your programming, statistics, and machine learning skills—coupled with domain expertise—to use data to answer business questions. To succeed as a data scientist, therefore, becoming proficient in coding is essential. Especially for handling and analyzing.

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9 Mainframe Statistics That May Surprise You

Precisely

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.

Banking 116
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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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Introducing Meta Llama 3.2 on Databricks: faster language models and powerful multi-modal models

databricks

We are excited to partner with Meta to launch the latest models in the Llama 3 series on the Databricks Data Intelligence Platform.

Data 135
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How To Get a Higher Salary in Software Engineering

Knowledge Hut

There is an upswing in the consideration of Software Engineer as a career choice. Software engineers make a huge contribution to the success of many IT ventures or businesses, making them earn a considerable amount. You can also contribute by learning all the required skills. Learn the skills and update your software engineer profile with software development courses.

More Trending

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Handling the Producer Request: Kafka Producer and Consumer Internals, Part 2

Confluent

Learn how your data goes from a producing client all the way to disk on a broker—along the way traversing buffers, threads, queues and more.

Kafka 111
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Transform 2D building footprint polygons into 3D buildings using 3D Object Feature Layer

ArcGIS

Interested in 3D GIS but not sure where to start? Learn the proper method to transform pre-existing 2D footprint polygons into a 3D buildings.

Building 109
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Essential Guide to Clearing PRINCE2 Examination

Knowledge Hut

PRINCE2 (Projects in Controlled Environments) has gained significant popularity and widespread adoption across various industries and organizations worldwide. This certification offers a comprehensive and adaptable framework tailored to suit projects of any size or complexity. This flexibility allows organizations to apply PRINCE2 principles and processes to projects, from small initiatives to large-scale endeavors.

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7 Free Online Python REPLs

KDnuggets

Running Python code directly in your browser is incredibly convenient, eliminating the need for Python environment setup and allowing instant code execution without dependency or hardware concerns. I am a strong advocate of using a cloud-based IDE for working with data, machine learning, and learning Python as a beginner. It helps you learn programming and.

Python 114
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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Announcing Databricks Support for Amazon EC2 G6 Instances

databricks

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

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The Global Impact of Cloudera in Our Daily Lives

Cloudera

Cloudera customers understand the potential impact of data, analytics, and AI on their respective businesses — reducing costs, managing risk, improving customer satisfaction, and generating new business opportunities that help to increase market share. But, what is the ultimate impact of all this effort and investment on each of us in our daily lives?

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Important Tips for Software Engineers

Knowledge Hut

If you're considering pursuing a career as a software engineer, it's an exciting field with lots of potential for growth and opportunity. But becoming a software engineer requires more than having the right degree and technical skills. It takes careful planning and preparation to ensure you'll have the best chance of landing your first job. Who is a Software Engineer?

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Has Europe Gone Too Far? The Delicate Dance of Regulation and Innovation

KDnuggets

While one can argue that Europe’s cautious regulatory approach might hinder innovation and competition in AI compared to more permissive regions like the US and China, the challenge is more nuanced.

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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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Metadata – Data Interoperability’s Hidden Talent (Part Two)

ArcGIS

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

Metadata 103
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Celebrating Hispanic Heritage Month with Cloudera

Cloudera

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.

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Meetings And Their Relevance In Separating Governance From Management

Knowledge Hut

What is management ? What is the difference between governing body and management? What is the relevance of meetings in management? Does the management layer need to conduct so many meetings? Seems like simple questions not sure how well it is understood and applied. I am sure most of us have attended or conducted meetings as a part of management governance.

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Feature Store Summit 2024: Data for AI – Real-Time, Batch, and LLMs

KDnuggets

Sponsored Content Once again the conference brings together researchers, professionals, and educators to present and discuss advances in Data and AI across various applications within industry. The Feature Store Summit aims to combine advances in technology and new use cases for managing data for AI. Hosted by Hopsworks, this free online conference.

Education 102
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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.

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How to publish customized views of the same source data

ArcGIS

To publish different views of the same source data, alter map layer settings before you publish each web feature layer.

Data 108
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Snowflake’s Whitnee Hawthorne on AI Data Cloud for Travel and Hospitality

Snowflake

Today, Snowflake is officially launching the AI Data Cloud for Travel and Hospitality. Snowflake’s newest AI Data Cloud offers a unified and secure platform that streamlines AI and ML development to support the growth of travel and hospitality businesses, empowering organizations to harness their data’s full potential. With Snowflake and its ecosystem of partners, travel and hospitality businesses can integrate and analyze valuable third-party data to deliver top-notch customer experiences and m

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25 Best Software Development Tools To Use In 2024

Knowledge Hut

The process through which programmers make various computer programs is called software development. The software development life cycle entails several phases that break down the product development method. The right method is found through thorough needs identification, requirement analysis, design, development and implementation, testing and development, and maintenance.

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Fundamentals of Effective Prompt Engineering

KDnuggets

The launch of foundational models, popularly called Large Language Models (LLMs), created new ways of working – not just for the enterprises redefining the legacy ways of doing business, but also for the developers leveraging these models. The remarkable ability of these models to comprehend and respond in human-like language has given rise to.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

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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AI Powered BI for Games

databricks

Unlock the potential of your data with Databricks' AI/BI Genie spaces! This blog post explores how to create a Genie space using a World of Warcraft dataset, enabling users to interactively query data and gain insights like a data analyst. Discover the ease of setting up a Genie space, visualize character engagement, and empower your team to make data-driven decisions.

BI 85
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Streamlining Generative AI Deployment with New Accelerators

Cloudera

The journey from a great idea for a Generative AI use case to deploying it in a production environment often resembles navigating a maze. Every turn presents new challenges—whether it’s technical hurdles, security concerns, or shifting priorities—that can stall progress or even force you to start over. Cloudera recognizes the struggles that many enterprises face when setting out on this path, and that’s why we started building Accelerators for ML Projects (AMPs).

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Top 10 Automation Testing Tools used in Software Industry

Knowledge Hut

Automation Testing is a buzzword in the Software Industry. The trend is to automate every repetitive and similar kind of work. Time has gone by since testing software used to take a lot of time and resources. As Agile methodologies globally opted for Software development, Automation testing plays a vital role in delivering products within time without compromising quality.

Java 98
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How to Calculate Eigenvalues and Eigenvectors with NumPy

KDnuggets

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 100
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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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Unlock gen AI’s potential in Retail: Start with a cloud data foundation

Snowflake

There’s no question which technology everyone’s talking about in retail. Generative AI continues to promote incredible levels of interest with its promise of next-level productivity and new kinds of employee and customer experience. It’s all happening at light speed. When ChatGPT burst onto the scene, it gained hundreds of millions of users in a matter of months.

Retail 77
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How to Power Successful AI Projects with Trusted Data

Precisely

Key Takeaways: Trusted AI requires data integrity. For AI-ready data, focus on comprehensive data integration, data quality and governance, and data enrichment. A structured, business-first approach to AI is essential. Start with clear business use cases and ensure collaboration between business and IT teams for the greatest impact. Building data literacy across your organization empowers teams to make better use of AI tools.

Project 75
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Integration Testing: Types, Approaches, Tools, Examples

Knowledge Hut

An integration test is a process that tests interfaces between two software modules or units. It focuses on determining whether the interface is correct. The aim of integration testing is to expose faults in the interaction between integrated units. All modules are unit tested before integration testing is done.  What Is Integration Testing in Software Testing?

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How to Use R for Data Transformation with dplyr

KDnuggets

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.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.