KDnuggets

NOVEMBER 30, 2023

Data engineers must prepare and manage the infrastructure and tools necessary for the whole data workflow in a data-driven company.

Data Engineering 115

Data Engineering Data Engineer Engineering Data Workflow 115

Analytics Vidhya

NOVEMBER 26, 2023

In this Leading with Data episode, explore the analytics landscape with Dr. Swati Jain, a seasoned leader boasting over two decades of experience. From her unforeseen foray into analytics to steering EXL Analytics’ India business, Dr. Jain imparts invaluable insights into the ever-evolving world of data science. Read on to know more about her career, […] The post Unlocking the Power of Analytics with Dr.

Data Science 214

Data Science Data Analysis Data Data Engineering 214

Jesse Anderson

NOVEMBER 30, 2023

Lately, I’ve been learning how to trade options. Although there’s data and programming involved in options trading, it isn’t as technical as data engineering or software engineering. However, it reflects the current state of learning, whether that’s data engineering or options trading. It gave me a look into learning a skill using videos. Each lesson I learned will directly apply to your learning or skill improvement.

Data Engineering 147

Data Engineering Data Engineer Algorithm Software Engineer 147

Confessions of a Data Guy

NOVEMBER 25, 2023

Ok. Get off your high horse. You are human just like the rest of us. Just like your ancient ancestors who were throwing rocks and sticks at each other a thousand years ago … you are looking for a leg up on the competition. Isn’t that the world we live in? At the end of […] The post How to be Better Than Everyone Else appeared first on Confessions of a Data Guy.

Data 147

Data Data Engineering Data Engineer Engineering 147

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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

Waitingforcode

NOVEMBER 28, 2023

In March I wrote a blog showing how to use accumulators to know the application of each filter statement. Turns out, the solution may not be perfect as mentioned by Aravind in one of the comments. I bet you already have an idea but if not, keep reading. Everything will be clear in the end!

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Seattle Data Guy

NOVEMBER 28, 2023

Data warehousing would be easy if all data were structured and formatted in the data source. Maybe we wouldn’t even need to build a data warehouse. But as anyone who has worked with data from more than one source knows, that’s rarely the case. Businesses today need to pull data from a plethora of sources,… Read more The post Finding The Right ETL/ELT Solution – What Is Estuary And Should You Use It?

IT 130

IT Data Warehouse Building Data 130

Confluent

NOVEMBER 28, 2023

Learn how to write code that produces messages via librdkafka, how it will behave during error situations, and how your application should detect and respond to them.

Coding 130

Coding IT Kafka 130

databricks

NOVEMBER 28, 2023

Defining what a data culture is can vary by organization. A data culture is the shared values, attitudes, and behaviors that enable organizations.

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Building Data 128

Seattle Data Guy

NOVEMBER 27, 2023

If you’re a data engineer, then you’ve likely at least heard of Airflow. Apache Airflow is one of the most popular open-source workflow orchestration solutions that gets used for data pipelines. This is what spurred me to write the article “Should You Use Airflow” because there are plenty of people who don’t enjoy Airflow or… Read more The post Common Pitfalls in Deploying Airflow for Data Teams appeared first on Seattle Data Guy.

Data Pipeline 130

Data Pipeline Data Engineering Data Engineer Data 130

KDnuggets

DECEMBER 1, 2023

Curious about optimizing AI for everyday devices? Dive into the complete overview of MIT's TinyML and Efficient Deep Learning Computing course. Explore strategies to make AI smarter on small devices. Read the full article for an in-depth look!

Deep Learning 146

Deep Learning Machine Learning 146

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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

Confluent

NOVEMBER 27, 2023

The top 7 free online courses, tutorials, get started guides, and examples for the easiest way to learn Apache Kafka.

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Kafka 131

Cloudera

DECEMBER 1, 2023

Recent Government Initiatives on Public Sector AI Solutions In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively. These government-led efforts have had a profound impact on the development and adoption of AI solutions in the public sector, paving the way for a future where data-driven decision-making and au

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Building Government Transportation Data Governance 104

Lyft Engineering

NOVEMBER 29, 2023

Written by Ritesh Varyani and Jeana Choi at Lyft. Introduction At Lyft, we have used systems like Apache ClickHouse and Apache Druid for near real-time and sub-second analytics. Sub-second query systems allow for near real-time data explorations and low latency, high throughput queries, which are particularly well-suited for handling time-series data.

Kafka 104

Kafka Data Ingestion Datasets Architecture 104

KDnuggets

NOVEMBER 29, 2023

Probability is one of the foundational elements of computer science. Some bootcamps will skim over the topic, however, it is integral to your computer science knowledge.

Computer Science 141

Computer Science IT Data Science Data 141

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Certification

Netflix Tech

NOVEMBER 29, 2023

by Aditya Mavlankar , Zhi Li , Lukáš Krasula and Christos Bampis High dynamic range ( HDR ) video brings a wider range of luminance and a wider gamut of colors, paving the way for a stunning viewing experience. Separately, our invention of Dynamically Optimized ( DO ) encoding helps achieve optimized bitrate-quality tradeoffs depending on the complexity of the content.

Metadata 100

Metadata Electronics Algorithm Software Engineer 100

databricks

NOVEMBER 30, 2023

We are excited to introduce five new integrations in Databricks Partner Connect—a one-stop portal enabling you to use partner solutions with your Databricks D.

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Knowledge Hut

NOVEMBER 30, 2023

The job market today emphasizes experience as a major criterion. Employers consider experienced professionals better candidates since they provide more value to the company. Are you interested in knowing how to become a data scientist with no experience  but not sure how to go about it? Here you will learn how to get your first data science job. To make t hings easier for you, here is a quick tip.

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Data Science Portfolio Programming Language Programming 98

KDnuggets

DECEMBER 1, 2023

Image by Author When you are getting started with machine learning, logistic regression is one of the first algorithms you’ll add to your toolbox.

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Python Building Machine Learning Algorithm 153

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

Edureka

NOVEMBER 28, 2023

Computer vision is an interdisciplinary scientific field that deals with how computers can be made to gain high-level understanding from digital images or videos. OpenCV(open source computer vision library) is an open source computer vision and machine learning software library. OpenCV was build to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products.

Python 98

Python Algorithm Machine Learning Programming Language 98

ArcGIS

NOVEMBER 30, 2023

Learn how to filter coordinate systems based on a spatial extent, GCS, or projection property.

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Project Systems 125

Knowledge Hut

NOVEMBER 28, 2023

Software engineers, on average, get paid $1,13,781 yearly; however, the pay scale usually varies depending on the job location, employer, and demographics. The amount you earn as a working software professional will depend on the number of years of experience, skillsets you have, and demand for that job position in the industry. Experienced software engineers make up to millions a year, and even freelance software developers can earn up to hundreds of thousands of dollars per project.

Software Engineer 98

Software Engineer Software Engineering Engineering Cloud Computing 98

KDnuggets

NOVEMBER 28, 2023

Want to support the behavior of built-in functions and method calls in your Python classes? Magic methods in Python let you do just that! So let’s uncover the method behind the magic.

Python 135

Python 135

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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

DoorDash Engineering

NOVEMBER 28, 2023

It is amusing for a human being to write an article about artificial intelligence in a time when AI systems, powered by machine learning (ML), are generating their own blog posts. DoorDash has been building an internal Machine Learning Workbench over the past year to enhance data operations and assist our data scientists, analysts, and AI/ML engineers.

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Machine Learning Pipeline-centric Data Science Designing 90

databricks

NOVEMBER 29, 2023

Background: Modernizing Data Delivery Today's enterprise data estates are vastly different from 10 years ago. Industries have transitioned their analytics from monolithic data.

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Healthcare Government Data 95

Knowledge Hut

NOVEMBER 27, 2023

Is your organization active on social media? Whether you work in big business, a charity, the public sector or somewhere else, chances are your organization has or should have social media accounts. That might be YouTube, SlideShare, Pinterest or LinkedIn (or one of many other social networks), and the right channel is going to largely depend on what you want to get out of your engagement with your social media communities.

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Media Building IT Process 98

KDnuggets

NOVEMBER 30, 2023

The blog discusses five platforms designed for data scientists with specialized capabilities in managing large datasets, models, workflows, and collaboration beyond what GitHub offers.

Data Science 125

Data Science Project Datasets Data 125

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.

Building

Snowflake

NOVEMBER 30, 2023

At TCS , we help companies shift their enterprise data warehouse (EDW) platforms to the cloud as well as offering IT services. We’re extremely familiar with just how tricky a cloud migration can be, especially when it involves moving historical business data. Choosing a migration approach involves balancing cloud strategy, architecture needs and business priorities.

Data Warehouse 101

Data Warehouse Banking Data Cloud 101

Cloudera

NOVEMBER 29, 2023

In the dynamic world of machine learning operations (MLOps), staying ahead of the curve is essential. That’s why we’re excited to announce the Cloudera Model Registry as generally available, a game-changer that’s set to transform the way you manage your machine learning models in production environments. Unlocking the power of model management Machine learning has rapidly transformed the way businesses operate, but it has also introduced the need for robust model management.

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Machine Learning Metadata Cloud Project 82

Knowledge Hut

NOVEMBER 28, 2023

As a software engineer , you will be responsible for developing and maintaining software applications. You will also be involved in the testing and debugging of software programs. To be successful in this role, you will need to have strong problem-solving skills, technical skills, and the ability to work independently. They are also constantly innovating and expanding, which creates opportunities for software engineers to grow their skills and careers.

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Software Engineer Software Engineering Engineering Electronics 97

KDnuggets

NOVEMBER 27, 2023

Data analysis is a time-consuming activity. With ChatGPT, we can perform data summary, data preprocessing, data visualization, and many others in a short time.

Data Analysis 122

Data Analysis Data Data Science 122

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.

Engineering