KDnuggets
AUGUST 15, 2022
ETL during the process of producing effective machine learning algorithms is found at the base - the foundation. Let’s go through the steps on how ETL is important to machine learning.
Data Engineering Podcast
AUGUST 13, 2022
Summary Data is useless if it isn’t being used, and you can’t use it if you don’t know where it is. Data catalogs were the first solution to this problem, but they are only helpful if you know what you are looking for. In this episode Shinji Kim discusses the challenges of data discovery and how to collect and preserve additional context about each piece of information so that you can find what you need when you don’t even know what you’re looking for yet.
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Confluent
AUGUST 17, 2022
Confluent Hackathon ‘22: Using Apache Kafka a Raspberry Pi, and a camera, Simon Aubury builds a detection and monitoring system to better understand wildlife population trends over time.
Teradata
AUGUST 17, 2022
In conversations with c-level execs at banks & financial institutions, one theme always crops up. How do we change our operating model to be more agile & customer focused in a digital first world?
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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
AUGUST 18, 2022
If you’re considering a career in data science, it’s important to understand how these two fields differ, and which one might be more appropriate for someone with your skills and interests.
Data Engineering Podcast
AUGUST 13, 2022
Summary Data engineers have typically left the process of data labeling to data scientists or other roles because of its nature as a manual and process heavy undertaking, focusing instead on building automation and repeatable systems. Watchful is a platform to make labeling a repeatable and scalable process that relies on codifying domain expertise.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Confluent
AUGUST 16, 2022
Learn how you can integrate data streams into your environment, and enrich data across your existing data pipelines using Confluent Cloud.
KDnuggets
AUGUST 16, 2022
High data availability may help power digital transformation, but data management systems are needed to keep that data organizaed and make it accessible. Read this article to see why data management is important to data science.
Monte Carlo
AUGUST 17, 2022
Over the years, I’ve helped companies of all sizes build and maintain data systems—from my days as a data engineer at Facebook to my current role as an end-to-end data solutions consultant. As a YouTuber and blogger , I’ve connected with data engineers from all over the world. And these days, everyone seems to share a common concern: how do we make sure the data we rely on to make all of our important business decisions is actually reliable?
Pinterest Engineering
AUGUST 18, 2022
Ankita Girish Wagh | Senior Software Engineer, Storage and Caching Introduction and Motivation At Pinterest, HBase is one of the most critical storage backends, powering many online storage services like Zen (graph database), UMS (wide column datastore), and Ixia (near real time secondary indexing service). The HBase Ecosystem, though having various advantages like strong consistency at row level in high volume requests, flexible schema, low latency access to data, Hadoop integration, etc. canno
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.
U-Next
AUGUST 18, 2022
Introduction: Data Science Projects for Beginners. You have your sights set on a lucrative Data Science position that literally screams “you” in the job title. You know that you possess the Data Science expertise needed for the position. The issue is that you have nothing to show for your broad Data Science skill set. Anyone can claim to be a good data scientist on their CV, but hiring managers want to see examples to support that claim.
KDnuggets
AUGUST 16, 2022
This blog outlines a solution to the Kaggle Titanic challenge that employs Privacy-Preserving Machine Learning (PPML) using the Concrete-ML open-source toolkit.
Rockset
AUGUST 16, 2022
Streams for Everyone If you have come this far it means you have already considered or are considering using event streaming in your data architecture for the wide variety of benefits it can offer. Or perhaps you are looking for something to support a Data Mesh initiative because that’s all the rage right now. In either case, both Amazon Kinesis and Apache Kafka can help but which one is the right fit for you and your goals.
Monte Carlo
AUGUST 15, 2022
When you’re the first data hire at a startup, the sky’s the limit—and that can be incredibly overwhelming. Who do you hire first? What tools should you invest in? What KPIs should you measure? And much more. No matter how you cut it, you don’t have an instruction manual, and given how fast the data landscape is evolving, it’s hard to find (let alone follow) best practices for building a data team from scratch.
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
AUGUST 18, 2022
The power function in Java allows users to deal with mathematical equations and procedures. Read on to learn about it in detail. An Introduction to Power Functions in Java. A large library allowing the calculation of many complex mathematical equations and procedures is available in Java. In Java, the library is known as the Math class. It is contained in the Java Lang package.
KDnuggets
AUGUST 19, 2022
For anyone whose work involves presenting data, understanding the art and science of data visualization — and its emphasis on storytelling — can make or break your ability to communicate key insights.
Data Science Blog: Data Engineering
AUGUST 14, 2022
Many Process Mining projects mainly revolve around the selection and introduction of the right Process Mining tools. Relying on the right tool is of course an important aspect in the Process Mining project. Depending on whether the process analysis project is a one-time affair or daily process monitoring, different tools are pre-selected. Whether, for example, a BI system has already been established and whether a sophisticated authorization concept is required for the process analyzes also play
Confluent
AUGUST 19, 2022
Learn the basics of Kafka security, including authentication, authorization, encryption, and audit logs for compliant, secure data streaming within any Kafka system.
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
AUGUST 18, 2022
Introduction to the 7 Ps of Marketing. A strategic marketing framework helps us define targets based on the existing position of a firm. The strategy outlines how those goals will be met, including the target market and the firm’s position. So we need to specify the techniques to make this strategy a reality, which is where the 7 ps of marketing comes into play.
KDnuggets
AUGUST 18, 2022
Just as Maslow identified a hierarchy of needs for people, data teams have a hierarchy of needs, beginning with data freshness; including volumes, schemas, and values; and culminating with lineage.
Propel Data
AUGUST 17, 2022
We've picked Recharts, Echarts, React ChartJS 2, and VISX as the best charting libraries for data visualization and data analytics in React.
dbt Developer Hub
AUGUST 17, 2022
When running a job that has over 1,700 models, how do you know what a “good” runtime is? If the total process takes 3 hours, is that fantastic or terrible? While there are many possible answers depending on dataset size, complexity of modeling, and historical run times, the crux of the matter is normally “did you hit your SLAs”? However, in the cloud computing world where bills are based on usage, the question is really “did you hit your SLAs and stay within budget ”?
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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
AUGUST 17, 2022
Introduction: Data Science Projects for Beginners. You have your sights set on a lucrative Data Science position that literally screams “you” in the job title. You know that you possess the Data Science expertise needed for the position. The issue is that you have nothing to show for your broad Data Science skill set. Anyone can claim to be a good data scientist on their CV, but hiring managers want to see examples to support that claim.
KDnuggets
AUGUST 16, 2022
Converting Jupyter notebooks to a well-designed software system is a mandatory step in every ML project. But there is a notable lack of tooling to assist developers with such translation, beyond the basic nbconvert utility.
Propel Data
AUGUST 15, 2022
In Snowflake, you allocate “virtual warehouses” (computing clusters) to execute the SQL database commands that you run on the data platform.
Monte Carlo
AUGUST 16, 2022
When it comes to trusting your data, Monte Carlo, the creator of the data observability category, and dbt Labs , creators of dbt, are better together. “Why didn’t my job run?” “What happened to this dashboard?” “Why is this column missing?” “What went wrong with my data?!” If you’ve been on the receiving end of a broken data pipeline, these questions probably look familiar to you.
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
AUGUST 16, 2022
Introduction to Artificial Intelligence Topics. Imagine a day in the future where intellect is not limited to human beings!! A time when machines are intelligent enough to collaborate with people to create a fascinating universe. Despite the fact that we are still a long way from this future, Artificial Intelligence has come a long way since then. Almost all areas of AI, including quantum computers, medicine, autonomous cars, the internet-of-things, automation, etc., are the subject of intense r
KDnuggets
AUGUST 15, 2022
Free AI for Beginners Course • How to Perform Motion Detection Using Python • 3 Free Statistics Courses for Data Science • The 5 Hardest Things to Do in SQL • Decision Tree Algorithm, Explained.
Cloudera
AUGUST 17, 2022
?. What if you could access all your data and execute all your analytics in one workflow, quickly with only a small IT team? CDP One is a new service from Cloudera that is the first data lakehouse SaaS offering with cloud compute, cloud storage, machine learning (ML), streaming analytics, and enterprise grade security built-in. Data practitioners can now produce end to end analytic pipelines through one service.
KDnuggets
AUGUST 15, 2022
The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.
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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