The Pragmatic Engineer
JUNE 22, 2023
👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover one out of five topics from today’s subscriber-only The Scoop issue. To get full issues twice a week, subscribe here.
Confessions of a Data Guy
JUNE 22, 2023
The post Conceptual Introduction to Delta Lake. appeared first on Confessions of a Data Guy.
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Uber Engineering
JUNE 22, 2023
We are excited to release Cadence 1.0! Used by many major companies, at Uber it powers over 1,000 services with 100K+ updates a second. Learn how Cadence makes it easy to build complex distributed systems.
KDnuggets
JUNE 22, 2023
Mojo Lang: The New Programming Language • Pandas AI: The Generative AI Python Library • Machine Learning with ChatGPT Cheat Sheet • Stop Doing this on ChatGPT and Get Ahead of the 99% of its Users • Bard for Data Science Cheat Sheet • Free ChatGPT Course: Use The OpenAI API to Code 5 Projects • Top 10 Tools for Detecting ChatGPT, GPT-4, Bard, and other LLMs • HuggingChat Python API: Your No-Cost Alternative
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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?
databricks
JUNE 22, 2023
We are excited to announce the public preview of Unity Catalog support for Delta Live Tables (DLT). With this preview, any data team.
KDnuggets
JUNE 22, 2023
The moment we’ve all been waiting for - GPT-5 and the impressive capabilities of its predecessor, GPT-4.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Cloudera
JUNE 22, 2023
In spite of diligent digital transformation efforts, most financial services institutions still support a loose patchwork of siloed systems and repositories. These dis-integrated resources are “data platforms” in name only: in addition to their high maintenance costs, their lack of interoperability with other critical systems makes it difficult to respond to business change.
databricks
JUNE 22, 2023
The annual Data Team Awards showcase how different enterprise data teams are delivering solutions to some of the world’s toughest problems. Nearly 300 n.
KDnuggets
JUNE 22, 2023
The Rise of ChatGPT.
Confluent
JUNE 22, 2023
Discover how Extend leveraged Confluent's data streaming platform and AWS to streamline backend communication and embrace an event-driven architecture.
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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.
Databand.ai
JUNE 22, 2023
Ryan Yackel June 22, 2023 What Is Data Integrity? Data integrity is concerned with the accuracy, consistency, and reliability of data stored in databases or other data storage systems. It is a vital aspect of data quality, which ensures that the information used for decision-making and analysis is accurate and trustworthy. To maintain data integrity, measures must be implemented to prevent corruption, loss, or unauthorized access to sensitive information.
Ascend.io
JUNE 22, 2023
Data-driven organizations are increasingly looking for ways to enable both centralized and distributed teams to build, share and collaborate on analytical data products. By pairing the simplicity of the MotherDuck platform with Ascend’s intelligent data pipeline automation, we’re offering a powerful, cutting-edge solution to these teams.
Monte Carlo
JUNE 22, 2023
At our latest IMPACT summit, Roche shared their data mesh strategy for creating reliable data products. All the images in this post are taken from that session unless otherwise specified. Here are the session takeaways: Roche , is one of the world’s largest biotech companies, as well as a leading provider of in-vitro diagnostics and a global supplier of transformative innovative solutions across major disease areas.
Knowledge Hut
JUNE 22, 2023
The world of ecommerce has seen remarkable growth in recent years, with more and more people turning to online shopping for convenience, accessibility, and better prices. In 2023, the ecommerce industry is expected to undergo significant changes driven by technological advancements, changing consumer preferences, and other factors. In this blog, we will evaluate some of the key trends that are likely to shape the ecommerce future in 2023.
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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.
databricks
JUNE 22, 2023
The annual Data Team Awards showcase how different enterprise data teams are delivering solutions to some of the world’s toughest problems. Nearly 300 n.
ArcGIS
JUNE 22, 2023
Explore a curated agenda for topographic mapping at the 2023 Esri User Conference.
RudderStack
JUNE 22, 2023
The Data Activation lifecycle is a continuous, three-stage cycle that enables you to harness the power of your customer data to drive business impact.
Acceldata
JUNE 22, 2023
This blog explains how data teams can manage and optimize their cloud data sources with the Acceldata data observability platform.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Snowflake
JUNE 22, 2023
Talk of data products has taken the data world by storm. And I love it. It’s the use of data that delivers value. Data as a product puts that into practice. We often hear the term “data products” as one of the four pillars of a data mesh. The data mesh paradigm embraces the principle of data as a product. Thinking of data as a product focuses on data’s use, and the value that it can deliver to the business, and guides the output of the data domain owner.
Precisely
JUNE 22, 2023
In the past, the term “data quality” was typically used simply to describe the accuracy of business information. As the financial services landscape has become more complex and sophisticated, the concept of data quality has evolved to imply a holistic approach that encompasses the overall trustworthiness of data. That gave rise to new terminology that more accurately describes a broader perspective: data integrity – data that is accurate, consistent, and contextual Today’s data-driven financial
Robinhood
JUNE 22, 2023
Robinhood Markets, Inc. (“Robinhood”) has entered into an agreement to acquire San Francisco-based X1 Inc. (“X1”), a platform that offers a no-fee credit card with rewards on each purchase. This marks an important step in our journey towards broadening our product offerings and deepening our relationship with existing customers. Providing people with access to a no-fee credit card aligns with our mission to democratize finance for all.
databricks
JUNE 22, 2023
The annual Data Team Awards showcase how different enterprise data teams are delivering solutions to some of the world’s toughest problems. Nearly 300 n.
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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.
Ascend.io
JUNE 22, 2023
As we chart the course into the future, it’s evident that the way organizations handle data is undergoing a seismic shift. A new model, known as data mesh, is set to disrupt the traditional centralized data ownership model and chart a transformative path towards decentralization and treating data as a product. The implementation of a data mesh isn’t merely about adopting a new technological approach—it’s about reimagining the entire organizational structure of a company.
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