Thu.Jan 19, 2023

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Replacing Pandas with Polars. A Practical Guide.

Confessions of a Data Guy

I remember those days, oh so long ago, it seems like another lifetime. I haven’t used Pandas in many a year, decades, or whatever. We’ve all been there, done that. Pandas I mean. I would dare say it’s a rite of passage for most data folk. For those using Python, it’s probably one of the […] The post Replacing Pandas with Polars.

Python 361
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What Big Tech layoffs suggest for the industry

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of five topics in today’s subscriber-only The Scoop issue. To get the full issues, twice a week: subscribe here. Update on 20 January: less than a day after publishing this article, Google announced historic layoffs that will impact ~12,000 positions.

Banking 141
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Why You Should Simplify Your Data Infrastructure

Seattle Data Guy

Good Design Is Easier to Change Than Bad Design – The Pragmatic Programmer Programming is just one aspect of the difficulties of tech work for data engineers. Creating simple yet robust systems that help manage your data infrastructure is equally important. This challenge of building a simple yet robust data infrastructure remains even with no-code/low-code solutions.

Data 130
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SQL and Data Integration: ETL and ELT

KDnuggets

In this article, we will discuss use cases and methods for using ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes along with SQL to integrate data from various sources.

SQL 119
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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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Driving Data, Delivering Value: Data Leaders to Watch in 2023

Snowflake

The Chief Data Officer is arguably one of the most important roles at a company, particularly those that aspire to be data-driven. CDO appointments and the elevation of data leaders have accelerated in recent years, and the role has morphed as perceptions of data have evolved. Responsibilities span strategy and execution, people and processes, and the technology needed to deliver on the promise of data.

Data 107
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Mastering String Transformations in RAPIDS libcudf

KDnuggets

This post demonstrates how to skillfully transform strings columns with the libcudf general-purpose API. You’ll gain new knowledge on how to unlock peak performance using custom kernels and libcudf device-side utilities.

More Trending

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New! Diversity, equity, and inclusion analysis SpotApp helps businesses improve employee diversity

ThoughtSpot

Tech has a diversity problem. As a veteran People leader, I see and hear about it all the time — in media , in the board room, and in my daily work. And yet, as much as our industry is known for solving large-scale problems and disrupting the status quo, improvement in this area doesn’t seem to be happening fast enough. Why not? When I look at companies leading our industry in DEI, there’s one thing that stands out: data.

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Scaling Adoption of Kerberos at Uber

Uber Engineering

Uber heavily relies on open source technologies for the Data analytics stack. In this blog post, we dive into the technical details behind solutions that helped us scale the adoption of Kerberos for authentication for the entire Data analytics infrastructure.

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Snowflake Tasks: SetValue and GetValue

Cloudyard

Read Time: 1 Minute, 53 Second During this post we will discuss an interesting use case related to TASKS. Say we have two TASKS i.e. TASK_A and TASK_B exists in our database where TASK_B is depend on TASK_A. Two procedures, PROC_A and PROC_B are coupled with these TASKS respectively. On successful completion of TASK_A we want to set some status or custom defined message in a variable.

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Build easy conversational AI – GCP Dialogflow

Knoldus

Reading Time: 3 minutes Dialogflow is a GCP framework that enables users to develop easy human-computer interaction technologies that can support Natural Language Processing (NLP). Basically, Dialogflow handles the job of translating natural language to machine-readable data using machine-learning models trained by your examples. Why use GCP Dialogflow A few reasons to use Dialogflow are – Building Blocks of GCP Dialogflow AGENTS The agent is basically your entire chatbot Continue Reading

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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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McKesson’s Cross-Cloud Data Journey

Snowflake

Snowflake connected with Sridevi Potu, McKesson’s Director of Data Analytics Platform Services, at the Data Cloud World Tour in Austin, Texas. Learn about the company’s journey to Snowflake and how it’s implementing a cross-cloud data strategy. McKesson is one of the largest distributors of healthcare supplies and pharmaceuticals, delivering a third of all pharmaceuticals used in North America, along with offering healthcare IT products and services.

Cloud 52
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Know how Computer Vision and Augmented Reality overlap each other?

Knoldus

Reading Time: 2 minutes To understand the overlapping of Computer Vision and Augmented Reality, Let’s understand what is computer vision, augumented reality and virtual reality. Computer Vision Augmented Reality Virtual Reality A direct comparison of Augmented Reality and Virtual Reality Application of Augmented Reality and Computer Vision Augmented Reality and Computer Vision in Autonomous Cars Security Monitoring with Augmented Vision and Computer Vision Augmented Reality and Computer Vi

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Mainframe Technology Trends for 2023

Precisely

Mainframes make up some of the most formidable computing power in the world , processing 90 percent of all credit card transactions and 68 percent of the world’s production IT workloads. At the same time, they represent only 6 percent of IT costs. The mainframe is alive and well, and it’s not going anywhere anytime soon. The security, scalability, and reliability of these systems makes them ideal for intensive mission-critical workloads.

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How Data Observability Solves DataOps Use Cases and Optimizes the Modern Data Stack

Acceldata

Data observability helps to optimize the modern data stack by being a solution for DataOps teams and all aspects of data operations.

Data 52
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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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Employee Spotlight: Tej Madaiah, Senior Manager, Customer Success

Acceldata

Acceldata's latest employee spotlight, which focuses on Employee Spotlight: Tej Madaiah, Senior Manager, Customer Success.