April, 2023

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8 In-Demand Data Science Certifications for Career Advancement [2023]

Analytics Vidhya

The job opportunities for data scientists will grow by 36% between 2021 and 2031, as suggested by BLS. It has become one of the most demanding job profiles of the current era. As recruiters hunt for professionals who are knowledgeable about data science, the average median pay for a proficient Data Scientist has soared to $100,910 […] The post 8 In-Demand Data Science Certifications for Career Advancement [2023] appeared first on Analytics Vidhya.

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Is Critical Thinking the Most Important Skill for Software Engineers?

The Pragmatic Engineer

When I think back on the software engineers I looked up to, they all shared this trait where they never took anything at face value. They regularly questioned statements that did not make sense to them, no matter how small the topic was: even if it involved admitting they did not understand a concept. After a while, I started adopting this approach.

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Mastering AI-Powered Product Development: Introducing Promptimize for Test-Driven Prompt…

Maxime Beauchemin

Mastering AI-Powered Product Development: Introducing Promptimize for Test-Driven Prompt Engineering originally posted here-> [link] AI, AGI, LLM, and GPT are the buzzwords of the moment. Like you, I’m excited, concerned, and constantly getting goosebumps as I try to keep up with everything happening in the field. It’s time for me to put on my helmet, secure it with duct tape, and contribute something that can help propel this frenzy forward ???

SQL 148
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Building Self Serve Business Intelligence With AI And Semantic Modeling At Zenlytic

Data Engineering Podcast

Summary Business intellingence has been chasing the promise of self-serve data for decades. As the capabilities of these systems has improved and become more accessible, the target of what self-serve means changes. With the availability of AI powered by large language models combined with the evolution of semantic layers, the team at Zenlytic have taken aim at this problem again.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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DuckDB vs Polars for Data Engineering.

Confessions of a Data Guy

I was wondering the other day … since Polars now has a SQL context and is getting more popular by the day, do I need DuckDB anymore? These two tools are hot. Very hot. I haven’t seen this since Databricks and Snowflake first came out and started throwing mud at each other. You might think […] The post DuckDB vs Polars for Data Engineering. appeared first on Confessions of a Data Guy.

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Mastering Generative AI and Prompt Engineering: A Free eBook

KDnuggets

In short, generative AI — and the prompts that power them — are everywhere. But beyond the basics, what do you really know about either? Perhaps you would find a concise, focused ebook on the topics useful.

More Trending

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Behind the Scenes with Two New Salary Transparency Websites

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. If you’re not yet a full subscriber, you missed this week’s deep-dive into Figma’s engineering culture. To get full newsletters twice a week, subscribe here.

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Building a Kimball dimensional model with dbt

dbt Developer Hub

Dimensional modeling is one of many data modeling techniques that are used by data practitioners to organize and present data for analytics. Other data modeling techniques include Data Vault (DV), Third Normal Form (3NF), and One Big Table (OBT) to name a few. Data modeling techniques on a normalization vs denormalization scale While the relevancy of dimensional modeling has been debated by data practitioners , it is still one of the most widely adopted data modeling technique for analytics.

Building 145
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An Exploration Of The Composable Customer Data Platform

Data Engineering Podcast

Summary The customer data platform is a category of services that was developed early in the evolution of the current era of cloud services for data processing. When it was difficult to wire together the event collection, data modeling, reporting, and activation it made sense to buy monolithic products that handled every stage of the customer data lifecycle.

Data Lake 147
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Build faster with Buck2: Our open source build system

Engineering at Meta

Buck2, our new open source, large-scale build system , is now available on GitHub. Buck2 is an extensible and performant build system written in Rust and designed to make your build experience faster and more efficient. In our internal tests at Meta, we observed that Buck2 completed builds 2x as fast as Buck1. Buck2, Meta’s open source large-scale build system, is now publicly available via the Buck2 website and the Buck2 GitHub repository.

Building 144
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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A Guide to Top Natural Language Processing Libraries

KDnuggets

Natural Language Processing is one of the hottest areas of research. While NLP tasks may seem a bit complicated at first, they can be made easier by using the right tools. This article covers a list of the top 6 NLP Libraries that can save you time and effort.

Process 156
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What is Data Analytics? How to Use it in Your Career?

Analytics Vidhya

In this digital world, Data is the backbone of all businesses. With such large-scale data production, it is essential to have a field that focuses on deriving insights from it. What is data analytics? What tools help in data analytics? How can data analytics be applied to various industries? We will be answering all these […] The post What is Data Analytics?

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The state of startup funding

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of six topics in today’s subscriber-only The Scoop issue. To get full newsletters twice a week, subscribe here. A recent report in Carta’s newsletter caught my eye: The state of angel investing, as reported by Carta. Source: Carta’s The Data Minute newsletter Angel rounds – or pre-seed rounds – usually total less than $1M in funding raised.

Finance 189
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Free Dolly: Introducing the World's First Truly Open Instruction-Tuned LLM

databricks

Two weeks ago, we released Dolly, a large language model (LLM) trained for less than $30 to exhibit ChatGPT-like human interactivity (aka instruction-following).

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Viral spam content detection at LinkedIn

LinkedIn Engineering

On the LinkedIn platform, members from around the world share their knowledge, perspectives, and discuss topics important to them. Our goal at LinkedIn is to enable them to do so in a safe, trusted, and professional environment. We’ve previously discussed the various systems used to create a safe and trusted experience for our members and how we keep the LinkedIn Feed relevant for our members on LinkedIn.

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How Device Verification protects your WhatsApp account

Engineering at Meta

WhatsApp has launched a new security feature that further helps prevent attackers from using vectors like on-device malware. This security feature, called Device Verification, requires no action or additional steps from users and helps protect your account. This feature is part of our broader work to increase security for our users from the growing threat of malware.

Coding 142
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LangChain 101: Build Your Own GPT-Powered Applications

KDnuggets

LangChain is a Python library that helps you build GPT-powered applications in minutes. Get started with LangChain by building a simple question-answering app.

Building 158
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Data Scientist vs Data Analyst: Which is a Better Career Option to Pursue in 2023?

Analytics Vidhya

Are you a data enthusiast looking to break into the world of analytics? The field of data science and analytics is booming, with exciting career opportunities for those with the right skills and expertise. But with so many job titles and buzzwords floating around, figuring out which path to pursue can be challenging. So, let’s […] The post Data Scientist vs Data Analyst: Which is a Better Career Option to Pursue in 2023?

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Uber’s engineering level changes

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 full newsletters twice a week, subscribe here. This is a bit of a ‘late scoop,’ which I initially missed when it happened. Better late than never! Until early 2022, the software engineering levels at Uber were: Engineering levels at Uber, 2014-2022 Back when I was at Uber in around 2020, I saw statisti

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Improved Alerting with Atlas Streaming Eval

Netflix Tech

Ruchir Jha , Brian Harrington , Yingwu Zhao TL;DR Streaming alert evaluation scales much better than the traditional approach of polling time-series databases. It allows us to overcome high dimensionality/cardinality limitations of the time-series database. It opens doors to support more exciting use-cases. Engineers want their alerting system to be realtime, reliable, and actionable.

Database 117
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Inside Look: Measuring Developer Productivity and Happiness at LinkedIn

LinkedIn Engineering

Authors: Viktoras Truchanovicius and Selina Zhang At LinkedIn, developer productivity and happiness has always been a priority. It is critical for our engineering leaders to understand how efficiently and effectively their teams are operating to continuously deliver value-added features for our members and build an industry-leading engineering culture.

MySQL 122
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Deploying key transparency at WhatsApp

Engineering at Meta

WhatsApp has launched a new cryptographic security feature to automatically verify a secured connection based on key transparency. The feature requires no additional actions or steps from users and helps ensure that a conversation is secure. Key transparency solutions help strengthen the guarantee that end-to-end encryption provides to private, personal messaging applications in a transparent manner available to all.

Utilities 138
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Unveiling the Potential of CTGAN: Harnessing Generative AI for Synthetic Data

KDnuggets

CTGAN and other generative AI models can create synthetic tabular data for ML training, data augmentation, testing, privacy-preserving sharing, and more.

Data 156
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Academia to Industry: Data Science Graduate Programs for South Africa’s Future

Analytics Vidhya

Introduction South Africa is not an exception as data science-driven economic change sweeps the world. The nation is seeing an increase in demand for qualified data science workers as a result of its booming IT sector and developing data-driven industries. Effective Graduate Training Programmes, Graduate Development Programmes, and Graduate Programs in data science must be […] The post Academia to Industry: Data Science Graduate Programs for South Africa’s Future appeared first on An

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Building a Data-Centric Platform for Generative AI and LLMs at Snowflake

Snowflake

Generative AI and large language models (LLMs) are revolutionizing many aspects of both developer and non-coder productivity with automation of repetitive tasks and fast generation of insights from large amounts of data. Snowflake users are already taking advantage of LLMs to build really cool apps with integrations to web-hosted LLM APIs using external functions , and using Streamlit as an interactive front end for LLM-powered apps such as AI plagiarism detection , AI assistant , and MathGPT.

Building 116
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How We Performed ETL on One Billion Records For Under $1 With Delta Live Tables

databricks

Today, Databricks sets a new standard for ETL (Extract, Transform, Load) price and performance. While customers have been using Databricks for their ETL.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

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Conda Init and ArcGIS Pro

ArcGIS

We're happy to announce the conda init command is now enabled for ArcGIS users of Python! Learn about how to use it, how it works, and benefits.

Python 127
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A fine-grained network traffic analysis with Millisampler

Engineering at Meta

What the research is: Millisampler is one of Meta’s latest characterization tools and allows us to observe, characterize, and debug network performance at high-granularity timescales efficiently. This lightweight network traffic characterization tool for continual monitoring operates at fine, configurable timescales. It collects time series of ingress and egress traffic volumes, number of active flows, incoming ECN marks, and ingress and egress retransmissions.

Bytes 113
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Automated Machine Learning with Python: A Case Study

KDnuggets

How to Automate the Complete Lifecycle of a Data Science Project using AutoML tools, which reduces the programming effort for implementation with H2O.ai.

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Ace Your Data Science Skills with DataHour Sessions

Analytics Vidhya

Introduction Well, hold onto your seats because the DataHour sessions are here to revolutionize how you learn about data-driven technologies. If you’re tired of boring, dry sessions that put you to sleep faster than a lullaby, you’re in for a treat. These sessions will cover everything from conversational intelligence to people analytics covering topics like […] The post Ace Your Data Science Skills with DataHour Sessions appeared first on Analytics Vidhya.

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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.