Start Data Engineering
MAY 28, 2024
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.
Confessions of a Data Guy
MAY 30, 2024
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.
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Seattle Data Guy
MAY 31, 2024
How companies data model varies widely. They might say they use Kimball dimensional modeling. However, when you look in their data warehouse the only part you recognize is the word fact and dim. Over the past near decade, I have worked for and with different companies that have used various methods to capture this data.… Read more The post How To Data Model – Real Life Examples Of How Companies Model Their Data appeared first on Seattle Data Guy.
Waitingforcode
MAY 30, 2024
Last week I was speaking in Gdansk on the DataMass track at Infoshare. As it often happens, the talk time slot impacted what I wanted to share but maybe it's for good. Otherwise, you wouldn't read stream processing fallacies!
Speaker: Conrado Morlan
In this engaging and witty talk, we’ll explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, we’ll uncover how AI can be the ultimate sidekick, aiding in decision-making, enhancing productivity, and boosting innovation. Attendees will leave with practical tools and actionable insights, motivated to embrace AI and leverage its potential in their work. 🦸 🏢 Key objectives:
Start Data Engineering
MAY 30, 2024
Introduction Data is stored on disk and processed in memory Running the code Run on Codespaces Run on your laptop Using python REPL Python basics Python is used for extracting data from sources, transforming it, & loading it into a destination [Extract & Load] Read and write data to any system [Transform] Process data in Python or instruct the database to process it [Data Quality] Define what you expect of your data and check if your data confirms it [Code Testing] Ensure your code does
Data Engineering Podcast
MAY 26, 2024
Summary Any software system that survives long enough will require some form of migration or evolution. When that system is responsible for the data layer the process becomes more challenging. Sriram Panyam has been involved in several projects that required migration of large volumes of data in high traffic environments. In this episode he shares some of the valuable lessons that he learned about how to make those projects successful.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Robinhood
MAY 30, 2024
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
KDnuggets
MAY 31, 2024
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.
databricks
MAY 30, 2024
Salesforce and Databricks are excited to announce an expanded strategic partnership that delivers a powerful new integration - Salesforce Bring Your Own Model.
ArcGIS
MAY 29, 2024
The latest release of ArcGIS Roads and Highways and ArcGIS Pipeline Referencing includes a variety of new and enhanced features.
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The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.
Snowflake
MAY 30, 2024
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
KDnuggets
MAY 28, 2024
Learning math is super important for data science. Check out these free courses from MIT to learn linear algebra, statistics, and more.
Knowledge Hut
MAY 30, 2024
Everybody sees a dream—aspiring to become a doctor, astronaut, or anything that fits your imagination. If you were someone who had a keen interest in looking for answers and knowing the “why” behind things, you might be a good fit for research. Further, if this interest revolved around computers and tech, you would be an excellent computer researcher!
ArcGIS
MAY 31, 2024
Learn about the new Export Attachments geoprocessing tool in ArcGIS Pro 3.3 and how it simplifies the process of exporting attachments.
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Adding high-quality entity resolution capabilities to enterprise applications, services, data fabrics or data pipelines can be daunting and expensive. Organizations often invest millions of dollars and years of effort to achieve subpar results. This guide will walk you through the requirements and challenges of implementing entity resolution. By the end, you'll understand what to look for, the most common mistakes and pitfalls to avoid, and your options.
Edureka
MAY 31, 2024
There are some amazing tools out there that can help you work smarter, not harder. They are called generative AI tools, and they are changing the game for people in all kinds of industries. These Generative AI tools can help you save time, boost your creativity, and get more work done in less time. So whether you are a student, a professional, or just someone who wants to stay ahead of the curve, you are at the right place.
KDnuggets
MAY 31, 2024
Are you a data science beginner looking to learn Python? Start learning today with these 5 free courses.
Knowledge Hut
MAY 28, 2024
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?
Confluent
MAY 29, 2024
The dual-write problem can arise in any distributed system. Fortunately, it has solutions in event sourcing & the transactional outbox & listen-to-yourself patterns.
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
Snowflake
MAY 29, 2024
The AI Data Cloud unlocks the power of data for technical and non-technical users alike, including data analysts, data scientists, data engineers and business users. When employees can collaborate seamlessly to generate new insights, share findings and create efficient workflows, organizations can drive even more efficiency, unlocking value from their data, faster.
KDnuggets
MAY 27, 2024
Read this concise tutorial to find out how to use GPT to generate creative content with Hugging Face Transformers. No nonsense, just that facts.
Knowledge Hut
MAY 28, 2024
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.
Robinhood
MAY 28, 2024
The board of directors of Robinhood Markets, Inc. (“Robinhood”) (NASDAQ: HOOD) has authorized a $1 billion share repurchase program, demonstrating management and the board’s confidence in Robinhood’s financial strength and future growth prospects. “As our business and cash flow have continued to grow, we’re excited to announce a $1 billion share repurchase program to return value to shareholders,” said Jason Warnick, Chief Financial Officer of Robinhood.
Speaker: Pulkit Agrawal
Digital Adoption Platforms (DAPs) are revolutionizing the way organizations interact with and optimize their software applications. As digital transformation continues to accelerate, DAPs have become essential tools for enhancing user engagement and software efficiency. This session is your guide into the robust world of DAPs, exploring their origins, evolution, and the current trends shaping their development.
Snowflake
MAY 29, 2024
In Part 1 of “Retail Media’s Business Case for Data Clean Rooms,” we discussed how to (1) assess your data assets and (2) define your data structures and permissions. Once you have a plan on paper, you can begin sizing the data clean room opportunity for your business. Step 3: Commercial Models to Unlock Revenue at Scale Modeling the business value comes down to two things: (1) What data are you making accessible; and (2) How many partners are you willing (and able) to engage?
KDnuggets
MAY 27, 2024
A course that helps career switchers and advancers harness the power of AI to transform the way they work.
Knowledge Hut
MAY 29, 2024
While many people opt for Python for data science tasks today, R remains a staple in the data scientist's toolkit. With its clean code, ability to chain functions and the pipe operator, R can often make simple tasks like exploratory analysis or visualization super easy to do. It also stands its ground well when it comes to complex tasks like forecasting or modelling.
ArcGIS
MAY 29, 2024
Here's everything new in ArcGIS Pro 3.3 from the Geodatabase Team.
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In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way. Logi Symphony offers a powerful and user-friendly solution, allowing you to seamlessly embed self-service analytics, generative AI, data visualization, and pixel-perfect reporting directly into your applications.
Snowflake
MAY 27, 2024
It’s hard to have a conversation in adtech today without hearing the words, “retail media.” The retail media wave is in full force, piquing the interest of any company with a strong, first-party relationship with consumers. Companies are now understanding the value of their data and how that data can power a new, high-margin media business. The two-sided network that exists between retailers and their brands turns into a flywheel for growth.
KDnuggets
MAY 30, 2024
Explore free and open-source MLOps tools for enhanced data privacy and control over your models and code.
Towards Data Science
MAY 30, 2024
Explore how to build, trigger and parameterize a time-series data pipeline in Azure, accompanied by a step-by-step tutorial Continue reading on Towards Data Science »
Cloudera
MAY 30, 2024
The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. In this context, Cloudera and TAI Solutions have partnered to help financial services customers accelerate their data-driven transformation, improve customer centricity, ensure compliance with regulations, enhance risk management, and drive innovation.
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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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