Top 5 AI Coding Assistants You Must Try
KDnuggets
FEBRUARY 8, 2024
Discover the top AI coding assistants that can 10X your productivity overnight - #5 has the best autocomplete feature, and #1 is the most advanced code assistant tool ever seen!
KDnuggets
FEBRUARY 8, 2024
Discover the top AI coding assistants that can 10X your productivity overnight - #5 has the best autocomplete feature, and #1 is the most advanced code assistant tool ever seen!
Waitingforcode
FEBRUARY 6, 2024
The previous blog from the series we discovered streaming reader. However, an end-to-end streaming Delta Lake pipeline also requires a writer which will be our focus today.
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Christophe Blefari
FEBRUARY 3, 2024
hey ( credits ) Hello here, this is Christophe from Amsterdam. I hope you're doing good. I'm in Amsterdam for the day for the DuckCon #4. The DuckDB annual conference, and god I like Europe. Being able to travel by train from Berlin to Paris to Amsterdam while going to the west of France for a lecture in a week is something truly awesome. Anyway this week will be a mixed Data News with links, stuff and ideas and a small wrap-up of the DuckCon + the stuff I presented on Wed. to a Modern
Jesse Anderson
FEBRUARY 6, 2024
It has been quite a while, but we’re finally back to a new episode this year! In this episode of Unapologetically Technical, I interview Tom Scott, the Founder and CEO of Streambased. Join us as we talk about distributed systems and how he created distributed or what we call the Monte Carlo simulations. We also talk about his work across various companies like how he created and ran a data warehouse at Sky Betting, his work at Cloudera doing Customer Operations Engineering, and how that he
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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?
KDnuggets
FEBRUARY 9, 2024
Don't miss this chance to chart your course toward a successful career in business analytics. Reserve your spot now and embark on a journey of knowledge and growth!
Confluent
FEBRUARY 6, 2024
Confluent enables real-time, reliable, scalable, and secure communication between IoT devices, applications, and backend systems. Streamline data processing and unlock analytics to boost productivity and time to market while lowering infrastructure costs.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Cloudera
FEBRUARY 7, 2024
How enterprise-grade data management creates better and more efficient care. In the last few years, the acceptance of telehealth has become more widespread as patients and providers found they could maintain continuity through phone and video collaboration, instead of in-person visits. In many cases, a level of care that once required a drive to the clinic or hospital could be delivered over a mobile phone or laptop, with no travel and no waiting room.
KDnuggets
FEBRUARY 6, 2024
This article introduced you to the world of ranking functions in SQL. We will cover the basics of how they work, how they're used, and how to avoid common pitfalls.
Confluent
FEBRUARY 7, 2024
Confluent has hired many Noteable employees to help make application development easier for both Kafka and Flink developers.
Picnic Engineering
FEBRUARY 6, 2024
From Cloud-native to Hybrid and back again: Picnic’s on-premises computing journey Many companies are working on their digital transformation, transitioning their traditional on-premises deployment to a cloud setup. Other companies, such as Picnic, have started in the cloud and are running a modern cloud native tech stack from the outset. Picnic’s infrastructure design focuses on a rapidly scalable cloud solution.
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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.
ArcGIS
FEBRUARY 8, 2024
Best practices for using layers and different display modes in Infographic templates in ArcGIS Business Analyst and Community Analyst
KDnuggets
FEBRUARY 7, 2024
Want to learn Python to kickstart your career in data? Here are five free courses to help you master Python for data science.
Snowflake
FEBRUARY 5, 2024
Generative AI tops every list of major financial services trends for 2024. And it’s no wonder — this new technology has the potential to revolutionize the industry by augmenting the value of employee work, driving organizational efficiencies, providing personalized customer experiences, and uncovering new insights from vast amounts of data. Its predictive capabilities can help leaders anticipate market trends and make more informed decisions, improving financial outcomes for customers as well as
Towards Data Science
FEBRUARY 6, 2024
Enabling fast data development from big operational systems Photo by Benjamin Zanatta on Unsplash The challenge when facing the ‘monster’ For a data engineer building analytics from transactional systems such as ERP (enterprise resource planning) and CRM (customer relationship management), the main challenge lies in navigating the gap between raw operational data and domain knowledge.
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.
databricks
FEBRUARY 9, 2024
What is the US Air Force (USAF) Hackathon? The Air Force Test Center (AFTC) Data Hackathon is a consortium of test experts across.
KDnuggets
FEBRUARY 8, 2024
It’s more important than ever to think long-term about the analytics partnerships you forge. Are you choosing technologies that will stand the test of time? Are you choosing companies with proven track records?
Snowflake
FEBRUARY 7, 2024
Earlier this year at Snowflake Summit, we announced the public launch of the Snowflake Performance Index (SPI), an aggregate index for measuring real-world improvements in Snowflake performance experienced by customers over time. In this post, we provide our biannual update to showcase the latest improvements. The Snowflake performance philosophy Our product philosophy revolves around a continuous quest to enhance Snowflake performance, with a particular focus on refining the core database engin
Confluent
FEBRUARY 8, 2024
Learn how to implement GitOps for Apache Kafka with Confluent for Kubernetes and Confluent Platform. Automate resource deployment and streamline administration.
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.
databricks
FEBRUARY 9, 2024
Pretrained large language models aren’t particularly good at responding in concise, coherent sentences out of the box. At a minimum, they have to b.
KDnuggets
FEBRUARY 8, 2024
Are you preparing for your dream data science job but feeling overwhelmed by the vast amount of online resources? Look no further than this free and easily accessible web-based book to help you brush up on your skills and feel confident for your upcoming interview.
Monte Carlo
FEBRUARY 9, 2024
The funny thing about hype is that it’s always at its apex when information is at its lowest. And GenAI is no different. A lot of organizations want to talk about AI, but it’s tough to find teams that are actually leveraging it in a meaningful way. (Although, we did create the above image using DALL-E, and I think you could say it’s pretty meaningful.
Data Engineering Weekly
FEBRUARY 4, 2024
RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Visit rudderstack.com to learn more. Joe Reis: Definition of Data Modeling & What Data Modeling Is not Joe raised a very fundamental question in data engineering. What is Data Modeling, and what is not?
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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.
Towards Data Science
FEBRUARY 8, 2024
When to know which type of key to use in your data models Continue reading on Towards Data Science »
KDnuggets
FEBRUARY 5, 2024
If you are new to generative AI or an expert who wants to learn more, O’Reilly offers a range of resources to kickstart your generative AI journey.
Tweag
FEBRUARY 5, 2024
No, not this RAG. Despite their many capabilities, Large Language Models (LLMs) have a serious limitation: they’re stuck in time and their knowledge is limited to the data they have been trained on. Updating the knowledge of an LLM can take two forms: fine-tuning, which we will address in a future post, and the ever-present RAG. RAG, short for Retrieval Augmented Generation, has garnered a lot of attention in the GenAI community and for good reasons.
Precisely
FEBRUARY 8, 2024
Address data: for many businesses, it falls into one of two categories – a valuable asset, or a major (and costly) headache. What makes address data so challenging for those that fall into the latter category? Well, address challenges can often be traced to human error. We may be constantly glued to our computers and phones, but typos are still inevitable.
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.
Monte Carlo
FEBRUARY 7, 2024
These days, keeping up with the latest advancements in GenAI is harder than saying “multimodal model.” It seems like every week some shiny new solution launches with the lofty promise of transforming our lives, our work, and the way we feed our dogs. Data engineering is no exception. Already in the wee months of 2024, GenAI is beginning to upend the way data teams think about ingesting, transforming, and surfacing data to consumers.
KDnuggets
FEBRUARY 7, 2024
This code based tutorial provides a brief introduction to Sentiment Analysis, a method used to predict emotions, similar to a digital psychologist.
Confluent
FEBRUARY 6, 2024
Confluent’s data streaming ecosystem expands and highlights customer success driven by technology partners.
Precisely
FEBRUARY 7, 2024
The Precisely Women in Technology (PWIT) program was first established to create a space for women in the organization to come together. As the program has evolved throughout the years, more and more resources have become available to women such as mentorship opportunities on both sides; fireside chats with leaders; a book club; and, much more. Each month, a member from the network is selected to participate in a Q&A to share more about her experience as a woman in technology.
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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