KDnuggets
JANUARY 24, 2022
What does the data reveal if we ask: "What are the 10 Best Python Courses?". Collecting almost all of the courses from top platforms shows there are plenty to choose from, with over 3000 offerings. This article summarizes my analysis and presents the top three courses.
Data Engineering Podcast
JANUARY 23, 2022
Summary Data engineering is a relatively young and rapidly expanding field, with practitioners having a wide array of experiences as they navigate their careers. Ashish Mrig currently leads the data analytics platform for Wayfair, as well as running a local data engineering meetup. In this episode he shares his career journey, the challenges related to management of data professionals, and the platform design that he and his team have built to power analytics at a large company.
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Cloudera
JANUARY 28, 2022
As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts. Private cloud continues to gain traction with firms realizing the benefits of greater flexibility and dynamic scalability.
Teradata
JANUARY 25, 2022
The use of integrated data to restore customer confidence will be big in 2022. Building a customer insights foundation should be high on the to-do list for retail & CPG businesses this year.
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.
KDnuggets
JANUARY 24, 2022
There are many great boosting Python libraries for data scientists to reap the benefits of. In this article, the author discusses LightGBM benefits and how they are specific to your data science job.
Confluent
JANUARY 24, 2022
On behalf of the Apache Kafka® community, it is my pleasure to announce the release of Apache Kafka 3.1.0. The 3.1.0 release contains many improvements and new features. We’ll highlight […].
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Cloudera
JANUARY 26, 2022
According to 451 Research , 96% of enterprises are actively pursuing a hybrid IT strategy. Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Cloud technologies and respective service providers have evolved solutions to address these challenges. . The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on
KDnuggets
JANUARY 25, 2022
Whether you’re working independently or setting up a stack for a company, you need an affordable stack option. Here’s how you can set up your stack without spending too much.
Confluent
JANUARY 27, 2022
Today we’re announcing an exciting Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS). This new five-year agreement builds on our strong existing collaboration, with the goal of making it […].
Cloud Academy
JANUARY 27, 2022
Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. This process is generally called “Extract, Transfer, Load” or ETL. The data then gets prepared in formats to be used by people such as business analysts, data analysts, and data scientists. The format of the data will be different depending on the intended audience.
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.
Cloudera
JANUARY 27, 2022
Insurers are increasingly adopting data from smart devices and related technologies to support and service their customers better. According to Statista , the projected installed base of IOT devices is expected to increase to 30.9 billion units by 2025, a huge jump from the 13.8 billion units that exist today. I have been researching more about how we can use the new data from those devices to design more innovative insurance products while being aware that these should all be contingent upon cu
KDnuggets
JANUARY 26, 2022
In order to achieve quality data, there is a process that needs to happen. That process is data cleaning. Learn more about the various stages of this process.
Hepta Analytics
JANUARY 28, 2022
You may find yourself needing to deploy multiple NGINX Ingress Controllers to serve each namespace on your Kubernetes cluster. This may be useful in a scenario where you have multiple client deployments on the same K8S cluster; and you want to assign a public load balancer IP address for each client to achieve logical separation. This blogpost explores how to do that.
ProjectPro
JANUARY 28, 2022
In data science, algorithms are usually designed to detect and follow trends found in the given data. The modeling follows from the data distribution learned by the statistical or neural model. In real life, the features of data points in any given domain occur within some limits. They will only go outside of these expected patterns in exceptional cases, which are usually erroneous or fraudulent.
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.
Cloudera
JANUARY 24, 2022
Many organizations initiate data projects because they want to increase revenue, but a select few tackle projects that truly transform society. . This year, Cloudera is recognizing three organizations as finalists in the Data for Good category of its annual Data Impact Awards : Union Bank of the Philippines, Keck Medicine of USC, and the National Bone Marrow Donor Program.
KDnuggets
JANUARY 27, 2022
This post is tentative to explain by "human factor" - a typical Python vs. R user, the widespread opinion that Python is better suited than R for developing production-quality code.
Teradata
JANUARY 27, 2022
The prevalence of new business models, emerging global risks & modernization of data processing in the cloud is ushering in a new era for credit risk management & the transformation of risk analytics.
Grouparoo
JANUARY 26, 2022
In psychology, there is a famous construct created by Abraham Maslow called the hierarchy of needs. Put simply, it says that people must first satisfy their basic needs before they can progress to focusing on more nuanced goals. It’s often shown as a pyramid where each need builds on top of the previous one. The goal, of course, is to reach the top.
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U-Next
JANUARY 26, 2022
Before we go on to explain why they made the best decisions and how they have found their ‘Happily Ever After’ in the career with our program, here are some fun facts about the booming Data Science domain – According to Globe Newswire , The global predictive analytics market is expected to become 21.5 billion USD by 2025, growing at a CAGR of 24.5%.
KDnuggets
JANUARY 25, 2022
In this article, see how you can get above 90% accuracy on the validation set with a pretty straightforward approach. You'll also see what happens to the validation accuracy if we scale down the amount of training data by a factor of 20. Spoiler alert - it will remain unchanged.
Rockset
JANUARY 25, 2022
Snowflake’s data cloud enables companies to store and share data, then analyze this data for business intelligence. Although Snowflake is a great tool, sometimes querying vast amounts of data runs slower than your applications — and users — require. In our first article, What Do I Do When My Snowflake Query Is Slow? Part 1: Diagnosis , we discussed how to diagnose slow Snowflake query performance.
Preset
JANUARY 27, 2022
Apache Superset 1.4 is now out! This version contains the most number of bug fixes in recent history, a variety of UX improvements, and improved database support.
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
U-Next
JANUARY 25, 2022
Before we go on to explain why they made the best decisions and how they have found their ‘Happily Ever After’ in the career with our program, here are some fun facts about the booming Data Science domain – According to Globe Newswire , The global predictive analytics market is expected to become 21.5 billion USD by 2025, growing at a CAGR of 24.5%.
KDnuggets
JANUARY 26, 2022
The High Paying Side Hustles for Data Scientists; Top Programming Languages and Their Uses; Artificial Intelligence Project Ideas for 2022; The Best Python Courses: An Analysis Summary; Top Stories, Jan 17-23: The High Paying Side Hustles for Data Scientists.
RudderStack
JANUARY 24, 2022
Data lakes and lakehouses are quickly becoming fully-featured data warehouses, making them a natural fit as the storage and processing layer for customer data.
Preset
JANUARY 25, 2022
Another year, another visual recap! The Apache Superset project and community has experienced record growth in 2021.
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.
Simon Späti
JANUARY 22, 2022
Image by Mohammad Bagher Adib Behrooz on Unsplash Why GraphQL for data engineers, you might ask? GraphQL solved the problem of providing a distinct interface for each client by unifying it to a single API for all clients such as web, mobile, web apps. The same challenge we’re now facing in the data world, where we integrate multiple clients with numerous backend systems.
KDnuggets
JANUARY 25, 2022
Participating in competitions has taught me everything about machine learning and how It can help you learn multiple domains faster than online courses.
RudderStack
JANUARY 28, 2022
We are excited to announce our $56 Million Series B funding round led by Insight Ventures with continued support from Kleiner Perkins and S28 Capital.
ProjectPro
JANUARY 25, 2022
Did you know that, according to Linkedin, over 24,000 Big Data jobs in the US list Apache Spark as a required skill? Learning Spark has become more of a necessity to enter the Big Data industry. One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this.
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“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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