KDnuggets
JANUARY 21, 2022
Just like tradespeople need to grow in their skill sets, data scientists must also grow in the ever-changing world we inhabit. With that said, let’s break down how you can evolve your data science skills while progressing your career.
Cloudera
JANUARY 21, 2022
This blog will summarise the security architecture of a CDP Private Cloud Base cluster. The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. The release of CDP Private Cloud Base has seen a number of significant enhancements to the security architecture including: Apache Ranger for security policy management.
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DataKitchen
JANUARY 17, 2022
The post A busy year ahead in low-code and no-code development first appeared on DataKitchen.
Data Engineering Podcast
JANUARY 15, 2022
Summary Applications of data have grown well beyond the venerable business intelligence dashboards that organizations have relied on for decades. Now it is being used to power consumer facing services, influence organizational behaviors, and build sophisticated machine learning systems. Given this increased level of importance it has become necessary for everyone in the business to treat data as a product in the same way that software applications have driven the early 2000s.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
KDnuggets
JANUARY 19, 2022
The landscape of programming languages is rich and expanding, which can make it tricky to focus on just one or another for your career. We highlight some of the most popular languages that are modern, widely used, and come with loads of packages or libraries that will help you be more productive and efficient in your work.
U-Next
JANUARY 17, 2022
At a recent training for fresher hire as part of an MNC’s analytics training program, my colleague Dr. Chetana highlighted that only 10% of the hires were women. TrustRadius reported that in 2021, 72% of women in tech are outnumbered by men in business meetings by at least a 2:1 ratio. Women are less than 1/3rd of the employees in many tech companies.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Data Engineering Podcast
JANUARY 15, 2022
Summary Data quality control is a requirement for being able to trust the various reports and machine learning models that are relying on the information that you curate. Rules based systems are useful for validating known requirements, but with the scale and complexity of data in modern organizations it is impractical, and often impossible, to manually create rules for all potential errors.
KDnuggets
JANUARY 19, 2022
Here are some of the data science technologies needed to build a comprehensive and smooth supply chain pipeline.
U-Next
JANUARY 17, 2022
A couple of decades ago, ‘Data’ was analyzed manually. With the advent of data management tools, we were able to computerize the same ‘Data’ for deeper analysis. Thus the trend of driving business decisions via insights drawn from data sets has never been old. However, with the availability of tools to manage and analyze data, the quantity and the quality of data analyzed have improved drastically, thereby increasing the accuracy and the efficacy of data-driven decisions.
Cloudera
JANUARY 19, 2022
Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases. Our position as a Visionary in the Gartner Magic Quadrant for Cloud DBMS market speaks to our product excellence and market-leading-vision of a hybrid, multifunction integrated platform with built-in security
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Confluent
JANUARY 20, 2022
A data pipeline is a method for getting data from one system to another, whether for analytics purposes or for storage. Learning the elements that make up this proven architecture […].
KDnuggets
JANUARY 20, 2022
In this article, I will provide you with a list of artificial intelligence project ideas that would look great on your resume. .
U-Next
JANUARY 17, 2022
A domain with applications across multiple industries from Agriculture to Transport, Business Analytics is all about making data-driven decisions for maximum business revenue. Even though this field has established a strong presence over the years, there’s an array of opportunities and growth still waiting to be transformed into reality. . According to IMARC Group’s latest report , the global BPO business analytics market is expected to grow at a CAGR of around 25% during 2021-2026.
Cloudera
JANUARY 19, 2022
We are excited to announce the release of Cloudera Streaming Analytics (CSA) 1.6 for CDP Private Cloud Base. With this release, we build on the foundation on 1.4 and 1.5 – with a number of fixes, enhancements, and features. Starting with this release, we now have an aligned release cycle for CSA Community Edition (CE). You can now expect simultaneous releases of CSA for both CE and CDP Private Cloud Base versions.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
ProjectPro
JANUARY 21, 2022
Data science has emerged as an exciting career path for students pursuing STEM. But, many are still not sure about the perfect roadmap to excel in this new domain. This data scientist career learning path is for beginners to smoothly kick start their journey in the fantastic field of data science. Data Science is a blend of advanced mathematics, probability, statistics, and computer programming.
KDnuggets
JANUARY 15, 2022
In our first weekly roundup of data science nuggets from around the web, check out a list of curated articles on Kaggle datasets, Python debugging tools, what it is data scientists do, an overview of YOLO, 2-dimensional PyTorch tensors, and the secrets of machine learning deployment.
U-Next
JANUARY 17, 2022
Introduction. The evolution of workplaces has seen people being hired for more than just their educational qualifications. The criteria for being hired has seen a tremendous shift in the digital age. Along with skill and knowledge in the necessary domain, companies are keen on hiring professionals with strong critical thinking capabilities. This ensures that the employees are able to deal with real-time issues with a practical approach. .
Confluent
JANUARY 21, 2022
What’s it really like to spend your days helping Confluent customers? Below, Alex Altman (Senior Director of Americas Support), Sam Hecht (VP, Global Support and Success Engineering), and Anna McDonald […].
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With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you
ProjectPro
JANUARY 20, 2022
“Humans can typically create one or two good models a week; machine learning can create thousands of models a week.” -a Wall Street journal excerpt by Thomas H. Davenport, Analytics thought leader. In recent years, AI and Machine Learning have transformed the world, making it smarter and faster. These two sectors have spurred technological advancements and a rising career path.
KDnuggets
JANUARY 20, 2022
Learn about some unconventional ways to boost your income by freelancing, contracting, copywriting, career counseling, and consultancy.
Rock the JVM
JANUARY 19, 2022
Explore Apache Pulsar's role in event streaming and computing: discover practical use cases and learn when to integrate advanced computing engines for sophisticated stream processing
Retail Insight
JANUARY 19, 2022
When it comes to British cycling’s ascent from zero to hero after years in the dumps, the books have been written, the interviews given and the movies made, but it all came down to one thing. One percent to be precise. British Cycling’s savior, Dave Brailsford, used the theory of marginal gains to make small improvements in every possible area – training, diet, equipment, sleep, hygiene – to maximize performance and create a literal medal factory in the Olympics.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
ProjectPro
JANUARY 19, 2022
Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. The big data industry is flourishing, particularly in light of the pandemic's rapid digitalization.
KDnuggets
JANUARY 21, 2022
Your first job is always going to be frightening. You will feel anxious and nervous to speak your own opinion. I will go through a few points that I believe everybody should incorporate into their work and personal life.
DataKitchen
JANUARY 19, 2022
The Matillion data integration and transformation platform enables enterprises to perform advanced analytics and business intelligence using cross-cloud platform-as-a-service offerings such as Snowflake. The DataKitchen DataOps Platform provides a way to extend Matillion’s powerful cloud-native data integrations with DataOps capabilities that span the heterogeneous tools environments characteristic of large enterprises.
Confluent
JANUARY 19, 2022
The Confluent Q1 ‘22 Launch is live and packed full of new features that enable businesses to continue innovating quickly with real-time experiences fueled by data in motion. Our quarterly […].
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
ProjectPro
JANUARY 19, 2022
Data Engineering is gradually becoming a popular career option for young enthusiasts. What is the precise reason behind it? Explore this page further and learn everything about data engineers to find the answer. We will cover it all, from its definition, skills, responsibilities to the significance of data engineer in an institution. Furthermore, we will also lay out a learning path on how to become a data engineer that will help one explore this exciting domain.
KDnuggets
JANUARY 18, 2022
TLDR; process it with a new Python Data Processing Engine in the Cloud.
Teradata
JANUARY 18, 2022
Data mesh planning is a lot like city planning, with both city and data mesh planners aiming to provide as much freedom and flexibility as possible to encourage business growth.
U-Next
JANUARY 17, 2022
Working with enormous amounts of data and deriving meaningful insights is the most in-demand skillset in the current market. Data Science Specialists have emerged among the top 15 LinkedIn jobs in 2021. This has led to a steady increase in the number of fresh graduates and professionals seeking to equip themselves with the skills required to make a name for themselves in this booming field. .
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
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