KDnuggets
SEPTEMBER 5, 2022
People assume that NoSQL is a counterpart to SQL. Instead, it’s a different type of database designed for use-cases where SQL is not ideal. The differences between the two are many, although some are so crucial that they define both databases at their cores.
Data Engineering Podcast
SEPTEMBER 4, 2022
Summary Data observability is a product category that has seen massive growth and adoption in recent years. Monte Carlo is in the vanguard of companies who have been enabling data teams to observe and understand their complex data systems. In this episode founders Barr Moses and Lior Gavish rejoin the show to reflect on the evolution and adoption of data observability technologies and the capabilities that are being introduced as the broader ecosystem adopts the practices.
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dbt Developer Hub
SEPTEMBER 7, 2022
If you’ve ever heard of Marie Kondo, you’ll know she has an incredibly soothing and meditative method to tidying up physical spaces. Her KonMari Method is about categorizing, discarding unnecessary items, and building a sustainable system for keeping stuff. As an analytics engineer at your company, doesn’t that last sentence describe your job perfectly?!
Cloudera
SEPTEMBER 8, 2022
“There are some unique challenges introduced by the requirement to govern data across a mixture of public cloud and on-premise data resources, ” according to the latest whitepaper published by the TM Forum , as “ their different characteristics require an awareness at the governance level in order to maintain cost, residency, performance, accessibility, and other objectives.” .
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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.
KDnuggets
SEPTEMBER 6, 2022
Defining model evaluation metrics is crucial in ensuring that the model performs precisely for the purpose it is built. Confusion Matrix is one of the most popular and effective tools to evaluate the performance of the trained ML model. In this post, you will learn how to visualize the confusion matrix and interpret its output.
Data Engineering Podcast
SEPTEMBER 4, 2022
Summary The global climate impacts everyone, and the rate of change introduces many questions that businesses need to consider. Getting answers to those questions is challenging, because the climate is a multidimensional and constantly evolving system. Sust Global was created to provide curated data sets for organizations to be able to analyze climate information in the context of their business needs.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Picnic Engineering
SEPTEMBER 8, 2022
We continue our story on the Analytics Platform setup in Picnic. In the “Picnic Analytics Platform: Migration from AWS Kinesis to Confluent Cloud” we described why and how we migrated from AWS Kinesis to Confluent Cloud. This time we will dive into how we configure our internal services pipeline. Quick re-cap: the purpose of the internal pipeline is to deliver data from dozens of Picnic back-end services such as warehousing, machine learning models, customers and order status updates.
KDnuggets
SEPTEMBER 7, 2022
This post explains why and when you need machine learning and concludes by listing the key considerations for choosing the correct machine learning algorithm.
U-Next
SEPTEMBER 9, 2022
Introduction . Willing to know how to leverage the sales strategy program for your own business? Whether a business is involved in a B2B sales strategy, an inbound or outbound strategy, a small to medium business (SMB), or an enterprise, a reliable source of revenue is essential for the company to survive. A reliable revenue stream is achieved by aligning specific sales activities with solid, thoughtful, and data-supported objectives that are in line with the company’s long-term goals.
Monte Carlo
SEPTEMBER 7, 2022
You know that cartoon trope where a leak springs in the dike and the character quickly plugs it with a finger, only to find another leak has sprung that needs to be plugged, and so on until there are no more fingers or the entire dam bursts? Data engineers know that feeling all too well. Anomalies spring up, a member of the data team is assigned to resolve it, but the root cause analysis process takes so long that by the time everything is fixed, another three leaks have sprung and there are no
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.
Confluent
SEPTEMBER 8, 2022
Aurora’s modern relational database and Confluent’s database streaming services offer real-time hybrid/multicloud data pipelines and streaming ETL for cloud-native agility, elasticity, and cost efficiency.
KDnuggets
SEPTEMBER 7, 2022
In this how-to, we’ll build a model to uncover which paths in user journeys have the biggest impact on product goals (e.g. conversion). You can use it to improve products or optimize marketing campaigns, or as a base for deeper user behavior analyses.
Afterpay Tech
SEPTEMBER 6, 2022
Photo by Leon S on Unsplash By: Jing Li Summary This article articulates the challenges, innovation and success of the Kafka implementation in Afterpay’s Global Payments Platform in the PCI zone. To satisfy the PCI DSS requirements, we decided to use AWS PrivateLink together with custom Kafka client libraries (producer & consumer) to form the solutions for the Payments Platform.
Monte Carlo
SEPTEMBER 6, 2022
Say it with me: bad data is inevitable. It doesn’t care about how proactive you are at writing dbt tests, how perfectly your data is modeled, or how robust your architecture is. The possibility of a major data incident (Null value? Errant schema change? Failed model?) that reverberates across the company is always lurking around the corner. That’s not to say things like data testing, validation, data contracts , domain-driven data ownership, and data diffing don’t play a role in reducing data in
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.
U-Next
SEPTEMBER 5, 2022
Strategizing Sales and its related activities is one of the most crucial requirements in today’s business. With COVID changing people’s perspectives about traditional buying and selling, there is a need for learning a whole new level of sales techniques that not only continues to cater to the needs of current customers but also seamlessly facilitates onboarding new customers. .
KDnuggets
SEPTEMBER 5, 2022
Ready to learn how to use Python for data science? This free course has got you covered!
Confluent
SEPTEMBER 7, 2022
As mission-critical data infrastructure, Apache Kafka’s resiliency is non-negotiable. Learn how Confluent Cloud builds 10x higher resilience into its cloud-native services.
dbt Developer Hub
SEPTEMBER 6, 2022
Analyzing financial data is rarely ever “fun.” In particular, generating and analyzing financial statement data can be extremely difficult and leaves little room for error. If you've ever had the misfortune of having to generate financial reports for multiple systems, then you will understand how incredibly frustrating it is to reinvent the wheel each time.
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.
U-Next
SEPTEMBER 9, 2022
Introduction – What is a Database Administrator (DBA)? . A database administrator (DBA) is a professional responsible for managing and administrating databases. A DBA typically works with database management systems (DBMS) to ensure that data is properly stored, organized, and secured. In addition, a DBA may be responsible for performance tuning, backup and recovery, and capacity planning.
KDnuggets
SEPTEMBER 8, 2022
Learn everything you need to know about data lakehouses.
Confluent
SEPTEMBER 9, 2022
Data streaming, analytics, and integration are at the backbone of every real-time application. Here are 3 reasons to attend Current this Oct. 2022.
Monte Carlo
SEPTEMBER 6, 2022
Our biggest priority at Monte Carlo is to make the lives of our customers easier by reducing data downtime and helping them accelerate the adoption of reliable data at their companies. As part of this mission, Monte Carlo’s product, engineering, design, and data science teams are constantly releasing new product functionalities and features to improve the user experience and reduce time to detection, resolution, and prevention of broken data pipelines.
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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.
U-Next
SEPTEMBER 9, 2022
Introduction . One of the most popular and rapidly expanding tech career paths is Data Science. Due to the high demand for the position, many professionals and recent graduates are attempting to enter it to fill the talent gap and establish successful careers. . Making judgments and predictions via Machine Learning, prescriptive analytics, and predictive causal analysis is the major application of Data Science.
KDnuggets
SEPTEMBER 9, 2022
Putting the fun in fundamentals! A collection of short videos to amuse beginners and experts alike.
Elder Research
SEPTEMBER 6, 2022
The post Arranging a Suite of Analytics for Hotel Data appeared first on Elder Research.
Cloudera
SEPTEMBER 7, 2022
We are now well into 2022 and the megatrends that drove the last decade in data — The Apache Software Foundation as a primary innovation vehicle for big data, the arrival of cloud computing, and the debut of cheap distributed storage — have now converged and offer clear patterns for competitive advantage for vendors and value for customers. Cloudera has been parlaying those patterns into clear wins for the community at large and, more importantly, streamlining the benefits of that innovation to
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.
U-Next
SEPTEMBER 9, 2022
Introduction – What Is Java Virtual Machine In Java? . Java Virtual Machine (JVM) is the virtual machine that runs the Java bytecodes. It is a software implementation of a computer that executes a computer program. JVM is platform-independent. That means a bytecode compiled on one platform can run on any other platform, provided it has a JVM.
KDnuggets
SEPTEMBER 7, 2022
Convert text documents to vectors using TF-IDF vectorizer for topic extraction, clustering, and classification.
KDnuggets
SEPTEMBER 5, 2022
KDnuggets has been up to some things over the past several months. Check in quick to make sure you haven't missed anything.
KDnuggets
SEPTEMBER 6, 2022
All of the papers present a particular point of view of findings in the BERT utilization.
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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