Thu.Feb 16, 2023

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Simplified Delta Lake operations with Mack

Waitingforcode

I like writing code and each time there is a data processing job to write with some business logic I'm very happy. However, with time I've learned to appreciate the Open Source contributions enhancing my daily work. Mack library, the topic of this blog post, is one of those projects discovered recently.

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5 Genuinely Useful Bash Scripts for Data Science

KDnuggets

In this article, we are going to take a look at five different data science-related scripting-friendly tasks, where we should see how flexible and useful Bash can be.

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Accelerate your model development with the new MLflow Experiments UI

databricks

MLflow is the premier platform for model development and experimentation. Thousands of data scientists use MLflow Experiment Tracking every day to find the.

Data 91
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Simple NLP Pipelines with HuggingFace Transformers

KDnuggets

Transformers by HuggingFace is an all-encompassing library with state-of-the-art pre-trained models and easy-to-use tools.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Inside Meta’s first smart glasses

Engineering at Meta

What’s new: Meta is sharing the inside story of how it developed the Ray-Ban Stories smart glasses. Why it matters: Creating Ray-Ban Stories meant Meta’s engineers had to take on new challenges to build smart glasses that married complex engineering dynamics. How do you make something that features cameras, microphones, audio, and touch controls, all while fitting into a form factor similar to a standard pair of Ray-Ban glasses?

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Cyber Safe Behaviour In Banking Systems

U-Next

Discussions over coffee breaks with my team are always enlightening. Last week over coffee, we discussed cybercrime web series and movies streaming on OTT platforms. As my thoughts started wandering around our Banking systems and Cosmos Bank Cyber-attack 2018. Cybercrimes damage the very ethos of carrying out business at a seamless flow, taking advantage of various transactional options available as technology is progressing at lightning speed.

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What’s With All the Layoffs in Tech?

KDnuggets

Answering all the questions that you've been asking about the layoffs in the tech industry.

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Top 10 data science consulting firms in 2023

InData Labs

We’re living in an era of disruptions. Market storms, geopolitical uncertainty, and costly supply chains typify the operational landscape for most organizations in 2023. To weather disruptions, companies invest in ingenious technologies such as data science and analytics. If you’re looking to leverage the power of analytics for your company, you’ll need a team of.

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7 Best Apache Spark Books for Beginners and Experts 2023

ProjectPro

Apache Spark is an open-source, distributed computing system for big data processing and analytics. It has become a popular big data and machine learning analytics engine. Today, the Apache Spark project has over 1,000 contributors from over 250 companies worldwide. Spark is used by some of the world's largest and fastest-growing firms to analyze data and allow downstream analytics and machine learning.

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Why CDOs and Data Engineers Need Data Observability

Acceldata

Data engineers might be the first group that comes to mind when discussing the topic of data observability. No doubt, data observability technology has become mission-critical for many data engineering teams seeking visibility into their data, processing, and pipelines.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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SQL for Data Engineering: Success Blueprint for Data Engineers

ProjectPro

The demand for skilled data engineers who can build, maintain, and optimize large data infrastructures does not seem to slow down any sooner. At the heart of these data engineering skills lies SQL that helps data engineers manage and manipulate large amounts of data. Did you know SQL is the top skill listed in 73.4% of data engineer job postings on Indeed?

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The Importance of Having Reliable, Available Data

Acceldata

Critical to that effort is ensuring the reliability of data, and managing data pipelines, and these two thought leaders explain the necessary steps required of data teams. Prasad offers an insightful perspective on this by explaining how digital operations and data have been critical to Novartis’ transformation journey.

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The Ultimate Apache Splunk Primer for Data Professionals

ProjectPro

In this world of big data, whereevery nugget of information is precious but overwhelming, Apach Splunk shines as a beacon of hope with its cutting-edge data management and analysis capabilities. Read this blog on Apache Splunk as we delve into details like what is Apache Splunk, what does Apache Splunk and other intricacies as we unlock its full potential.

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Five Ways Your Data Pipelines Are Ruining Your Data Quality

Acceldata

Who’s that dark shadow at your office door? Is it your (un)friendly neighborhood data engineer, looking like the world has come to an end? And when you suggest a different data set, do they sigh deeply and reply with a look of confusion and bewilderment?

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Business Intelligence vs Artificial Intelligence-Battle of the Brains

ProjectPro

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace. If you are wondering how artificial intelligence differentiates business intelligence, this blog will allow you to discover the top differences based on certain aspects, including tools, applications, and contribut

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How Mercari Operationalizes Data Reliability Engineering at Scale

Monte Carlo

Software applications achieve an enviable degree of reliability, and for some of the highest performing organizations, downtimes consist of a handful of minutes. This success is driven by technological innovations such as application performance management solutions, evolving best practices such as DevOps, and specialized roles such as site reliability engineers (SREs).

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20+ Splunk Interview Questions and Answers For Data Experts

ProjectPro

Over 3 billion monthly searches, 2,400+ unique apps and add-ons, and 1,000+ unique data integrations make SPLUNK ‘the big data solution for the hybrid world’! With over 18000 customers worldwide, Splunk is the most popular option for businesses seeking to improve productivity, profitability, competitiveness, and security. Splunk is an outstanding tool for exploring, monitoring, analyzing, and acting on your data.

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ChatGPT Examples to 10x Your Productivity

Edureka

ChatGPT is making great changes in every sector of the industry. It has revolutionized the way we see Artificial Intelligence and NLP. But the problem is that most people don’t know how to use it. Since you are here, I already assume that you know what ChatGPT is. If you don’t know what it is yet, then I highly recommend watching the video given below and then continuing with this blog – ‘ChatGPT Examples’ Best ChatGPT Examples | ChatGPT Examples to 10x Your Product

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Bright Data Helps Organizations Access the World’s Largest Data sets with Snowflake

Snowflake

Bright Data helps organizations tap into the power of the world’s largest database: the internet. At first, it offered public data scraping infrastructure. Now, with support from Snowflake’s Data Cloud, Bright Data delivers seamless public data sets directly to customers, faster than ever before. “Every company has a huge database at its disposal. The internet is, arguably, the largest database out there, and it houses all the world’s information at this point.

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Fixing Go’s Linker: An Unexpected Journey into ARM64, DWARF, and Linker Internals

Uber Engineering

Uber’s engineers are always giving back to the Open Source community. In this blog we deep dive into the internals of the ARM64 port for Go linker and how we debugged its misbehavior on Apple Silicon hardware.

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Mastering the Art of ETL on AWS for Data Management

ProjectPro

ETL is a critical component of success for most data engineering teams, and with teams harnessing it with the power of AWS, the stakes are higher than ever. With so much riding on the efficiency of ETL processes for data engineering teams, it is essential to take a deep dive into the complex world of ETL on AWS to take your data management to the next level.

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ChatGPT Tutorial – A Guide on How to Use OpenAI ChatGPT

Edureka

OpenAI launched their new product OpenAI ChatGPT last November, and the world is going crazy. This article, ” ChatGPT Tutorial – A Guide on How to Use OpenAI ChatGPT “ will cover all of the things that you need to know about ChatGPT. OpenAI developed ChatGPT as a product of their GPT-3 AI-NLP model. This generative AI model has been developed in a way that provides natural conversation-like responses to any given prompt.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Data Engineer Salary in USA: How Much Can You Make in 2023?

Knowledge Hut

Demand for data engineers is at a peak today globally due to the massive amount of data that companies accumulate and work with this data to draw actionable insights and make better business decisions. To do that, the generated data must be interpreted to be understood by the end user. That's where the data engineer comes into the picture, making it a demanding profession today.

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Supply And Demand Analysis: Definition, Importance, And Framework

Edureka

Supply and demand analysis is an essential tool for businesses of all sizes. It enables them to better understand the market forces that drive their industry, allowing them to make data-driven decisions that can help them maximise profits and minimise losses. But what exactly is supply and demand analysis? In this blog post, we’ll explore the definition of this important concept, its importance in today’s business landscape, and a framework to apply it effectively.

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Slack to BigQuery Integration: 3 Best Methods for You

Hevo

According to reports, Slack is used by more than 100,000 organizations. That would be a lot of data! What if you could connect Slack to a data warehouse like BigQuery for integrating the data? Wouldn’t that be amazing? Because that will enable you to derive insights from the customer interactions in Slack.

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Key Components for a Successful Automation Implementation

Precisely

The uncertainties of the past several years have brought unprecedented levels of disruption to the global economy, first with the COVID-19 pandemic, then with supply chain disruptions, inflation, and geopolitical uncertainty. In the context of all this volatility, business leaders are focused on increasing efficiency, automation implementation and agility throughout their organizations.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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How I Got My First Job as a Data Scientist

KDnuggets

Things I believe contributed to my success.

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How Multidimensional Data Observability Can Make Your Data Engineers Superstars

Acceldata

Data engineers envision, deploy, and maintain infrastructure for data science. Here’s why they’re more than data plumbers.

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Curbing Fraud by Leveraging Analytics

Elder Research

The post Curbing Fraud by Leveraging Analytics appeared first on Elder Research.

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Improved Compute Performance With Acceldata Pulse 3.0

Acceldata

Acceldata delivers more options for improved data observability for Hadoop with Acceldata Pulse 3.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.