May, 2024

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Building cost effective data pipelines with Python & DuckDB

Start Data Engineering

1. Introduction 2. Project demo 3. TL;DR 4. Building efficient data pipelines with DuckDB 4.1. Use DuckDB to process data, not for multiple users to access data 4.2. Cost calculation: DuckDB + Ephemeral VMs = dirt cheap data processing 4.3. Processing data less than 100GB? Use DuckDB 4.4. Distributed systems are scalable, resilient to failures, & designed for high availability 4.5.

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Is the “AI developer”a threat to jobs – or a marketing stunt?

The Pragmatic Engineer

This article was published on 14 March 2024 in The Pragmatic Engineer, for subscribers. I'm sharing this piece in public more than a month later, as it provides important context and analysis for the AI dev tools space. Subscribe to The Pragmatic Engineer to stay up-to-date on what is happening with software engineering, Big Tech, and startups.

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Building Data Platforms (from scratch)

Confessions of a Data Guy

Of all the duties that Data Engineers take on during the regular humdrum of business and work, it’s usually filled with the same old, same old. Build new pipeline, update pipeline, new data model, fix bug, etc, etc. It’s never-ending. It’s a constant stream of data, new and old, spilling into our Data Warehouses and […] The post Building Data Platforms (from scratch) appeared first on Confessions of a Data Guy.

Building 184
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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.

Data 146
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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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Introducing the Robinhood Crypto Trading API

Robinhood

Robinhood Crypto customers in the United States can now use our API to view crypto market data, manage portfolios and account information, and place crypto orders programmatically Today, we are excited to announce the Robinhood Crypto trading API , ushering in a new era of convenience, efficiency, and strategy for our most seasoned crypto traders. Robinhood Crypto customers in the United States can use our new trading API to set up advanced and automated trading strategies that allow them to st

Insurance 135
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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.

Scala 135

More Trending

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What’s New in ArcGIS Pro 3.3

ArcGIS

Discover the exciting new features of ArcGIS Pro 3.3. From water flow modeling to direct PDF support, this release has it all. Read our blog to learn more.

IT 144
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Introducing Confluent Cloud Freight Clusters

Confluent

Confluent Cloud Freight clusters are now available in Early Access. In this blog, learn how Freight clusters can save you up to 90% at GBps+ scale.

Cloud 145
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5 Free University Courses to Learn Machine Learning

KDnuggets

Want to learn machine learning from the best of resources? Check out these free machine learning courses from the top universities of the world.

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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.

Cloud 124
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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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Introducing Salesforce BYOM for Databricks

databricks

Salesforce and Databricks are excited to announce an expanded strategic partnership that delivers a powerful new integration - Salesforce Bring Your Own Model.

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A Notebook is all I want or Don't

Data Engineering Weekly

The tweet received strong reactions on LinkedIn and Twitter. To clarify, I quoted it as a Notebook-style development, but it is not exactly a Notebook. There is a lot of context missing in that tweet, so I decided to write a blog about it. People have reservations about using tools like Jupytor Notebook for the production pipeline for a good reason.

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Mind the map: a new design for the London Underground map

ArcGIS

A modern take on the London tube map with updated accessible colours, a re-classification of lines by type, and line symbols scaled by frequency

Designing 134
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Join us at the Iceberg Summit 2024

Cloudera

Apache Iceberg is vital to the work we do and the experience that the Cloudera platform delivers to our customers. Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

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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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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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Moving Beyond MTEB and BEIR: Snowflake AI Research Joins Forces with the University of Waterloo to Evolve RAG and Retrieval Benchmarks

Snowflake

To accurately answer business questions using LLMs, companies must augment models with their data. Retrieval Augmented Generation (RAG) is a popular solution to this problem, as it integrates the organization’s factual, real-time data into the prompt for the LLM. While the adoption of RAG has increased, an open question remains: How do enterprises know how effective their system is?

Cloud 115
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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 117
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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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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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What’s New in ArcGIS Roads and Highways and ArcGIS Pipeline Referencing (May 2024)

ArcGIS

The latest release of ArcGIS Roads and Highways and ArcGIS Pipeline Referencing includes a variety of new and enhanced features.

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We’ll See You at the Gartner Data and Analytics Summit

Cloudera

The Gartner Data and Analytics Summit in London is quickly approaching on May 13 th to 15 th , and the Cloudera team is ready to hit the show floor! The theme of this year’s summit, “Generating Value Together: Creating Synergies between Data, Analytics & AI,” could not have come at a better time as we push forward on our AI and analytics journey together.

Banking 102
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Top SQL Queries for Data Scientists

KDnuggets

SQL seems like a data science underdog compared to Python and R. However, it’s far from it. I’ll show you here how you can use it as a data scientist.

SQL 134
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Snowflake Invests in Metaplane for Deep, End-to-End Observability in the Data Cloud

Snowflake

According to Infosys, 35% of AI projects will either fail or experience delays because of poor data quality. There’s a huge gap between the data quality most companies have by default and the data quality needed for successful AI. And that gap is directly affecting the performance and reliability of AI systems everywhere. As organizations expand their use of Snowflake to build and deploy new AI-powered data applications, comprehensive data observability is critical to success.

Cloud 108
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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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Introducing Databricks Assistant Autocomplete

databricks

We are excited to introduce Databricks Assistant Autocomplete now in Public Preview. This feature brings the AI-powered assistant to you in real-time, providing.

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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?

Python 97
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Introduction to the Export Attachments geoprocessing tool

ArcGIS

Learn about the new Export Attachments geoprocessing tool in ArcGIS Pro 3.3 and how it simplifies the process of exporting attachments.

Process 115
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Towards Sustainable Data Engineering Patterns

Towards Data Science

Engineers, scientists, and analysts have the potential to greatly reduce carbon emissions by introducing sustainable, efficient, and… Continue reading on Towards Data Science »

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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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A Roadmap to Machine Learning Algorithm Selection

KDnuggets

The goal of this article is to help demystify the process of selecting the proper machine learning algorithm, concentrating on "traditional" algorithms and offering some guidelines for choosing the best one for your application.

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Snowflake Ventures Expands Investment in Sigma, Deepening Commitment to Bringing World-Class BI Directly into the AI Data Cloud

Snowflake

We’re excited to announce today that we’re reinforcing our commitment and deepening our partnership with Sigma with an expanded investment from Snowflake Ventures. Sigma is a leading business intelligence and analytics solution that makes it easy for employees to explore live data, create compelling visualizations and collaborate with colleagues. Sigma allows employees to break free of dashboards and build workflows, powered by write-back to Snowflake through their unique Input Tables capability

BI 98
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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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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.

Project 98
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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.