The Pragmatic Engineer

AUGUST 10, 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 Pulse issue. To get full issues twice a week, subscribe here.

Engineering 191

Engineering Recruitment Retail Software Engineer 191

Waitingforcode

AUGUST 10, 2023

There are probably not that many people working today on the flat files with Structured Streaming than 5 years ago thanks to the table file formats. However, if you are in this group and are still generating CSVs or JSONs with the streaming sink, brace yourself, the memory problems are coming if you don't take action!

130

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The Pragmatic Engineer

AUGUST 10, 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 Pulse issue. To get full issues twice a week, subscribe here.

Retail 172

Retail Utilities Software Engineer Software Engineering 172

KDnuggets

AUGUST 10, 2023

KDnuggets' new cheat sheet summarizes the top Python libraries for building generative AI apps, from OpenAI and Transformers to tools like Gradio, Diffusers, LangChain, and more. Ideal for both beginners and experts looking for a quick reference.

Python 96

Python Building Machine Learning Data Science 96

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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?

Data

databricks

AUGUST 10, 2023

At this year's Data+AI Summit, Databricks SQL continued to push the boundaries of what a data warehouse can be, leveraging AI across the.

SQL 90

SQL Data Warehouse Data 90

KDnuggets

AUGUST 10, 2023

Voice assistants like Siri, Alexa and Google Assistant are household names, but they still don't do well in multilingual settings. This article first provides an overview of how voice assistants work, and then dives into the top 5 challenges for voice assistants when it comes to providing a superior multilingual user experience. It also provides strategies for mitigation of these challenges.

Technology 92

Technology IT Process 92

KDnuggets

AUGUST 10, 2023

Machine Learning Operations (MLOps) is a relatively new discipline that provides the structure and support necessary for machine learning (ML) models to thrive in production environments.

Machine Learning 90

Machine Learning 90

Confluent

AUGUST 10, 2023

Learn why Confluent Cloud has chosen Let’s Encrypt as its Certificate Authority and how it leverages its automation features to spend less time managing certificates and more time building private networking features.

Certification 52

Certification Cloud IT Building 52

KDnuggets

AUGUST 10, 2023

Learn to work with SQLite databases using Python’s built-in sqlite3 module. Also learn how to create indexes to speed up queries.

SQL 88

SQL Python Database 88

Confluent

AUGUST 10, 2023

Missed out on Camp Confluent? Find out what went down at the hottest tech camp of the season—a three-week immersive learning experience focused on all things data streaming.

Data 52

Data 52

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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.

Database

Monte Carlo

AUGUST 10, 2023

Editor’s Note : So much has happened since we first published this post and created the data observability category and Monte Carlo in 2019. We have updated this post to reflect this rapidly maturing space. You can read the original article linked at the bottom of this page. What is Data observability? The five pillars My data observability definition has not changed since I first coined it in 2019: Data observability refers to an organization’s comprehensive understanding of the health an

Data Pipeline 98

Data Pipeline Software Engineer Software Engineering Machine Learning 98

Precisely

AUGUST 10, 2023

As the world emerged from the COVID-19 pandemic, enterprises began to increase their focus on digital transformation. As those investments bear fruit, business leaders are doubling-down on their commitment to technological innovation. To maximize the benefits of those initiatives, companies focus on increasing their overall agility, executing faster, and improving the quality and integrity of their data.

Process 52

Process Data Integration Manufacturing Portfolio 52

Ascend.io

AUGUST 10, 2023

This article is based on a presentation given by Paul DeSalvo, Data Engineer Manager at Brazen, at the Data Pipeline Automation Summit 2023. The information presented here is a summary of his insights and experiences about his startup data team. Reading not your thing? Dive right into Paul’s full presentation at the Data Pipeline Automation Summit 2023.

Building 52

Building Data Pipeline Data Ingestion Datasets 52

Towards Data Science

AUGUST 10, 2023

Experts from venture capital, Snowflake, and more discuss how generative AI will benefit data teams and the challenges they must solve. Image courtesy of the author. Generated by DiffusionBee. Generative AI is not a new concept. It’s been studied for decades and applied in limited capacities. That is until ChatGPT shocked and awed our collective consciousness in late 2022.

IT 85

IT Unstructured Data SQL BI 85

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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.

Data Analysis

Snowflake

AUGUST 10, 2023

Discover how Bynder uses Snowflake’s Data Cloud to provide faster insights, support rapid growth, and unlock a new world of opportunities. Founded in 2013, Bynder is a global leader in the digital asset management (DAM) industry. The company provides a full, cloud-based software suite for marketers, helping them to upload, create, and source digital assets, apply guidelines that allow for consistent campaigns, and gain insights into their effectiveness.

Cloud 52

Cloud Building Amazon Web Services BI 52

databricks

AUGUST 10, 2023

Across industries, data scientists spend up to 80% of their time trying to properly prepare and cleanse datasets for data mining and artificial.

Medical 80

Medical Data Mining Datasets Data 80