Tue.Jul 25, 2023

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Data Engineer vs Data Scientist: Which Career to Choose?

Analytics Vidhya

In the world of data, two crucial roles play a significant part in unlocking the power of information: Data Scientists and Data Engineers. But what sets these wizards of data apart? Welcome to the ultimate showdown of Data Scientist vs Data Engineer! In this captivating journey, we’ll explore the distinctive paths these tech titans take […] The post Data Engineer vs Data Scientist: Which Career to Choose?

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Textbooks Are All You Need: A Revolutionary Approach to AI Training

KDnuggets

This is an overview of the "Textbooks Are All You Need" paper, highlighting the Phi-1 model's success using high-quality synthetic textbook data for AI training.

Data 102
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Confluent's Commitment to Data Privacy: Announcing ISO 27701 Certification

Confluent

Confluent obtained the ISO 27701 certification which demonstrates the high standard of Confluent’s privacy program and practices.

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Mastering GPUs: A Beginner’s Guide to GPU-Accelerated DataFrames in Python

KDnuggets

RAPIDS cuDF, with its pandas-like API, enables data scientists and engineers to quickly tap into the immense potential of parallel computing on GPUs–with just a few code line changes. Read on for more.

Python 96
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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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How to Read and Write In Google Spreadsheet Using Python and Sheety API?

Workfall

Reading Time: 9 minutes Tired of manual data entry in Google Spreadsheets? Discover a simple and efficient way to automate your data handling using Python and Sheety API. In this blog, we’ll demonstrate step-by-step the process of reading and writing data in Google Sheets, empowering you to effortlessly manage your data with the power of Python.

Python 76
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Everything You Need About the LLM University by Cohere

KDnuggets

Want to kickstart a new career with LLMs? Or want to transfer to the next big thing in tech? You can do so now with the LLM University by Cohere.

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Unlocking the Power of Numbers in Health Economics and Outcomes Research

KDnuggets

Learn about the quantitative challenges that are present in HEOR research and how statistics can be used to address these issues.

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C Developers Hiring Guide - Trio Developers

Trio

C is a general-purpose programming language, meaning it can be used for a wide variety of purposes from building operating systems to computer applications. The language also supports a number of features and paradigms including structured programming, lexical variable scope, and recursion.

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Advance your Career with the 3rd Best Online Master’s in Data Science Program

KDnuggets

Convenient one and two-year schedules. Enrolling now for October 2023 and March 2024.

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Improving SAP® Master Data Processes with Excel

Precisely

Today’s innovative enterprises are investing in automation. Organizations that run SAP can use Excel-to-SAP automation to do more with less, while also increasing agility and improving their SAP master data management process automation. For two decades, Precisely and Winshuttle ( now unified under the Precisely umbrella ) have been empowering business teams to make an impact with SAP automation.

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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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Managing and Analyzing Game Data at Scale

databricks

Game development is a complex process that requires the use of a wide range of tools and technologies throughout the lifecycle of a.

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Confluent's Commitment to Data Privacy: Announcing ISO 27701 Certification

Confluent

Confluent obtained the ISO 27701 certification which demonstrates the high standard of Confluent’s privacy program and practices.

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State expiration in stream-to-stream joins with event time range condition

Waitingforcode

You certainly know it, the watermark (aka GC Watermark) is responsible for cleaning state store in Apache Spark Structured Streaming. But you may not know that it's not the single time-based condition. There is a different one involved in the stream-to-stream joins.

IT 130
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Securely Scaling Big Data Access Controls At Pinterest

Pinterest Engineering

Soam Acharya | Data Engineering Oversight; Keith Regier | Data Privacy Engineering Manager Background Businesses collect many different types of data. Each dataset needs to be securely stored with minimal access granted to ensure they are used appropriately and can easily be located and disposed of when necessary. As businesses grow, so does the variety of these datasets and the complexity of their handling requirements.

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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.

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All you need to know about timeouts

Zalando Engineering

Nobody likes to wait. We at Zalando are not an exception. We don't like our customers to wait too long for delivery, we don't like them to wait during checkout, and we don't like microservices that take too long to respond. In this post we're going to talk about - how to set a reasonable timeout for your microservices to achieve maximum performance and resilience.

Java 52
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Data Curation Explained: How To Make Data More Valuable

Monte Carlo

What is data curation? Data curation is the process of transforming and enriching larger amounts of raw data into smaller, more widely accessible subsets of data that provide additional value to the organization or the intended use case. This process includes managing the data quality, metadata, retention, semantics (meaning/purpose), access, operability, schema, and more.