Trending Articles

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Why Data Analysts And Engineers Make Great Consultants

Seattle Data Guy

Many data engineers and analysts don’t realize how valuable the knowledge they have is. They’ve spent hours upon hours learning SQL, Python, how to properly analyze data, build data warehouses, and understand the differences between eight different ETL solutions. Even what they might think is basic knowledge could be worth $10,000 to $100,000+ for a… Read more The post Why Data Analysts And Engineers Make Great Consultants appeared first on Seattle Data Guy.

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Importance of Software Engineering: Key Reasons

Knowledge Hut

A software engineer studies, designs, develops, maintains, and retires Software. That’s why in almost every organization, there is a need for a software engineer. And this somehow raises the importance of software engineering today. Though it deals with different areas and serves many functions, educating the software engineer about best software practices and discipline is necessary.

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WebSockets in Scala, Part 2: Integrating Redis and PostgreSQL

Rock the JVM

by Herbert Kateu 1. Introduction This article is a follow-up to the websocket article that was published previously. To recap, we created an in-memory chat application using WebSockets with the help of the Http4s library. The chat application had a variety of features implemented through commands directly in the chat window such as the ability to create users, create chat rooms, and switch between chat rooms.

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Where to Go Next in Your Data Career

KDnuggets

We are all looking for the right opportunities in our career. In the landscape of data-related careers, the roles can be grouped into classes, and future opportunities tend to follow natural migration paths between the class groups.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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Snowflake Announces Agreement to Acquire TruEra AI Observability Platform to Bring LLM and ML Observability to the AI Data Cloud 

Snowflake

Accelerating enterprise AI use cases into production is now a board-level priority for most companies. However, one of the key challenges in AI today is ensuring that those use cases are ready for real-life use and continue to perform at a high level in production. Not only must enterprises ensure accurate, reliable, and valuable results they must also address and mitigate critical issues like bias, hallucinations, and toxicity.

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Optimizing Databricks LLM Pipelines with DSPy

databricks

If you’ve been following the world of industry-grade LLM technology for the last year, you’ve likely observed a plethora of frameworks and tools.

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How to Use GPT for Generating Creative Content with Hugging Face Transformers

KDnuggets

Read this concise tutorial to find out how to use GPT to generate creative content with Hugging Face Transformers. No nonsense, just that facts.

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Snowflake Startup Spotlight: TDAA!

Snowflake

Welcome to Snowflake’s Startup Spotlight, where we ask startup founders about the problems they’re solving, the apps they’re building and the lessons they’ve learned during their startup journey. In this edition, we’ll learn why the founders of data tools company TDAA, Andrew Curran and Jon Farr, chose Snowflake as the platform to deliver their app Pancake , as well as the ways they’re effectively leveraging the Snowflake Native App model.

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How to Become a Python Full Stack Developer [Step-by-Step]

Knowledge Hut

In less than a decade, Python has become the most popular programming language in the world. It's used by major companies like Google and Facebook, and its versatility and ease of use make it a great choice for beginners too. We all know that Python is a powerful programming language. But did you know that it can also be used to create full-stack web applications?

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Announcing General Availability of Liquid Clustering

databricks

We’re excited to announce the General Availability of Delta Lake Liquid Clustering in the Databricks Data Intelligence Platform. Liquid Clustering is an innovative.

Data 119
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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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Composable data management at Meta

Engineering at Meta

In recent years, Meta’s data management systems have evolved into a composable architecture that creates interoperability, promotes reusability, and improves engineering efficiency. We’re sharing how we’ve achieved this, in part, by leveraging Velox , Meta’s open source execution engine, as well as work ahead as we continue to rethink our data management systems.

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Harvard’s Top Free Courses for Aspiring Data Scientists

KDnuggets

Do you want to start your data science journey? If yes, then these Harvard courses might be perfect to start.

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The Rising Tide of Women’s NCAA Basketball: A Boom for Retailers

Precisely

The Growing Allure of Women’s NCAA Basketball Each March, the fervor around NCAA basketball reaches a fever pitch, drawing massive TV audiences and creating a flurry of commercial opportunities. This excitement amplifies when standout players and top teams make their way into the final rounds. The burgeoning interest in the women’s division presents unique opportunities for retailers to engage with an enthusiastic and expanding fan base.

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Data Scientist vs Full Stack Developer: What to Choose?

Knowledge Hut

When starting your career, it may seem like a daunting task to choose which path to take. Do you become a data scientist or Full stack developer? Both options have their benefits, but it can be tough to decide which is the right choice for you. In this blog post, we will help you to make that decision by highlighting the key differences between data science and Full stack development by comparing data scientist vs full stack developer.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Unveiling the Leaders in Data and AI: The 2024 Finalists for the Databricks Data Visionary Award

databricks

The Data Team Awards annually recognize the indispensable roles of enterprise data teams across industries, celebrating their resilience and innovation from around the.

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Best Practices for Confluent Terraform Provider

Confluent

You can improve CC Terraform by employing best practices for organization (e.g., split state files), coding (consistent naming), security (enforced configs) & more.

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5 Free MIT Courses to Learn Math for Data Science

KDnuggets

Learning math is super important for data science. Check out these free courses from MIT to learn linear algebra, statistics, and more.

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Data Engineering Weekly #173

Data Engineering Weekly

Luke Byrne: Questions About AI Is AI all about hype? What do humans spend their time on in a post-AGI world? There are many burning questions from our readers, too, and the author did an amazing compilation of some of the widely discussed questions around AI development. What is your burning question about AI? [link] Chris Riccomini: S3 Is Showing Its Age Building a global scale distributed system with eleven 9s of durability and four 9s of availability is no easy feat.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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PMP Examples Application: Work Experience Examples, Projects

Knowledge Hut

You can find the online PMP exam application on the Project Management Institute (PMI)® website. It is essential you have the prerequisites for PMP application ready before you start the process. Demonstration that you are qualified to take the examination and that your expertise has covered all necessary domains is required. Do not let any discrepancy creep in at this stage to prevent you from obtaining your PMP credential.

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Shaping the Future With Data and AI: Announcing the 2024 Databricks GenAI Innovation Award Finalists

databricks

The annual Data Team Awards showcase the remarkable efforts of top global enterprise data teams committed to tackling some of today's toughest business.

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Choose similar colors to map similar things

ArcGIS

Three videos about choosing colors in cartography.

Designing 103
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Quantization and LLMs: Condensing Models to Manageable Sizes

KDnuggets

High costs can make it challenging for small business deployments to train and power an advanced AI. Here is where quantization comes in handy.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Data Streaming Awards 2024: Nominations Are Now Open

Confluent

The Data Streaming Awards Recognizes achievements with Data Streaming Technology. Submit your team’s amazing data streaming use case for a chance to win!

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What is CIA Triad in Cyber Security and Why it is Important?

Knowledge Hut

In the CIA Triad in Cyber Security, you may picture a man in a black suit solving crime and running behind criminals; we are not talking about that. Our CIA triad is a fundamental cybersecurity model that acts as a foundation for developing security policies designed to protect data. Confidentiality, integrity, and availability are the three letters upon which the CIA triad stands.

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Delta Sharing: Secure End-to-End Data Sharing Solution

databricks

In today's digital landscape, secure data sharing is critical to operational efficiency and innovation. Databricks and the Linux Foundation developed Delta Sharing as.

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How to Design a Modern, Robust Data Ingestion Architecture

Monte Carlo

A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. This involves connecting to multiple data sources, using extract, transform, load ( ETL ) processes to standardize the data, and using orchestration tools to manage the flow of data so that it’s continuously and reliably imported – and readily available for analysis and decision-making.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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7 Steps to Mastering Data Cleaning with Python and Pandas

KDnuggets

Want to learn data cleaning with pandas? This tutorial will teach you everything you need to know.

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Real-Time Analytics Solution for Usage-Based API Billing and Metering

Towards Data Science

Design a real-time analytics pipeline for tracking API invocation usage with Apache APISIX, Redpanda, and Apache Pinot.

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Snowflake Ventures Invests in Omni to Empower Self-Service Business Intelligence and Data Modeling

Snowflake

We’re excited to announce Snowflake Ventures has invested in Omni Analytics. The Omni Platform expands the analytics capabilities of the AI Data Cloud and allows customers to extract more value from their data, faster. Omni combines the flexibility and speed of modern business intelligence (BI) and embedded analytics with the governance and consistency of traditional data modeling tools.

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How Real-World Enterprises are Leveraging Generative AI

databricks

Generative AI (GenAI) is moving incredibly fast. So much so, that in less than two years, GenAI has emerged as one of the.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.