KDnuggets

OCTOBER 4, 2022

Among the four big NoSQL database types, key-value stores are probably the most popular ones due to their simplicity and fast performance. Let’s further explore how key-value stores work and what are their practical uses.

Database 158

Database NoSQL SQL 158

Confluent

OCTOBER 4, 2022

Confluent’s new Stream Designer is the industry’s first visual interface for rapidly building, testing, and deploying streaming data pipelines natively on Apache Kafka.

Data Pipeline 104

Data Pipeline Designing Kafka Data 104

KDnuggets

OCTOBER 4, 2022

Interview Kickstart’s Data Science Interview Course is built by Data Scientists from MAANG and other big tech companies, the course promises to get you interview-ready in 15 weeks.

Data Science 108

Data Science IT Data 108

Cloudera

OCTOBER 4, 2022

This blog post will provide guidance to administrators currently using or interested in using Kafka nodes to maintain cluster changes as they scale up or down to balance performance and cloud costs in production deployments. Kafka brokers contained within host groups enable the administrators to more easily add and remove nodes. This creates flexibility to handle real-time data feed volumes as they fluctuate.

Kafka 79

Kafka Data Cloud Big Data 79

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

KDnuggets

OCTOBER 4, 2022

Free Algorithms in Python Course • How to Select Rows and Columns in Pandas • Lessons from a Senior Data Scientist • A Day in the Life of a Data Scientist: Expert vs. Beginner • 7 Machine Learning Portfolio Projects to Boost the Resume.

Algorithm 108

Algorithm Python Portfolio Machine Learning 108

phData: Data Engineering

OCTOBER 4, 2022

So you’ve been using dbt for a bit now… You have all of your transformations in dbt and your deployments are executing flawlessly, plus you noticed your development velocity has greatly increased. However, as your dbt repo has grown, you’ve begun to see that your deployments are taking even longer. You’ve spent a lot of time tagging your code to optimize your data refreshes, and while your refreshes run quickly, your deployments aren’t.

Cloud 52

Cloud Coding Building Project 52

Striim

OCTOBER 4, 2022

Traditionally, historical data (or batch data) was used for decision-making. However, lately, there’s a lot of focus on real-time data, which provides more business value. According to a survey by McKinsey , high-performing businesses are almost five times more likely to use real-time data, as compared to their counterparts. Real-time data is gaining prominence because it can help end-users to make decisions on the fly, allowing for more accurate and faster decision-making.

Media 52

Media Data Data Architecture Data Warehouse 52

KDnuggets

OCTOBER 4, 2022

We scoured the internet for the best free courses for anyone looking to learn SQL. We’re excited to share the top 6 resources we found.

SQL 100

SQL 100

Monte Carlo

OCTOBER 4, 2022

In November of 2020, O’Reilly Media first approached us with the idea to author Data Quality Fundamentals: A Practitioner’s Guide to Building More Trustworthy Data Pipelines. It was an inflection point for a fledgling company that had only just begun to establish the category of data observability. We knew it wouldn’t be an easy feat, but we also knew it would be worthwhile – and important Poor data quality is one of the foremost challenges of our industry, and certainly one of the m

High Quality Data 52

High Quality Data Data Pipeline Media Data 52

KDnuggets

OCTOBER 4, 2022

Who is machine learning for? Everybody!

Machine Learning 158

Machine Learning 158

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

U-Next

OCTOBER 4, 2022

Every now and then, we come across news on data and network breaches in enterprises we thought had the most sophisticated and airtight cybersecurity measures. The fact is that, exploiters are not just becoming smarter but more creative as well. New avenues and loopholes are being exploited to infiltrate into networks and systems to extract sensitive data and information from businesses. .

Media 52

Media Datasets Accessible Accessibility 52

KDnuggets

OCTOBER 4, 2022

Depending on the problem you’re trying to solve, one metric may be more insightful than another.

Machine Learning 113

Machine Learning 113

Rockset

OCTOBER 4, 2022

Streaming data feeds many real-time analytics applications, from logistics tracking to real-time personalization. Event streams, such as clickstreams, IoT data and other time series data, are common sources of data into these apps. The broad adoption of Apache Kafka has helped make these event streams more accessible. Change data capture (CDC) streams from OLTP databases, which may provide sales, demographic or inventory data, are another valuable source of data for real-time analytics use cases

MySQL 52

MySQL Kafka Aggregated Data Architecture 52