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.
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.
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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.
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.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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.
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.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
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. .
KDnuggets
JANUARY 17, 2022
In this article, Eric Siegel summarizes the recent KDnuggets poll results and argues that the pervasive failure of ML projects comes from a lack of prudent leadership. He also argues that MLops is not the fundamental missing ingredient – instead, an effective ML leadership practice must be the dog that wags the model-integration tail.
DataKitchen
JANUARY 17, 2022
The post A busy year ahead in low-code and no-code development first appeared on DataKitchen.
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: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
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.
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.
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 […].
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: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
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.
KDnuggets
JANUARY 17, 2022
Incorrect or unclean data leads to false conclusions. The time you take to understand and clean the data is vital to the outcome and quality of the results. Data Quality always takes the win against complex fancy algorithms.
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.
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.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
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. .
KDnuggets
JANUARY 18, 2022
Unclutter your space and learn about the best books, free tutorials, courses, platforms, and certifications to start your data science journey.
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 […].
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
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
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 17, 2022
Also: Top Five SQL Window Functions You Should Know For Data Science Interviews; A Deep Look Into 13 Data Scientist Roles and Their Responsibilities; SQL Interview Questions for Experienced Professionals; Why Do Machine Learning Models Die In Silence?
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.
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.
Speaker: Evelyn Chou
Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.
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 20, 2022
Learn about some unconventional ways to boost your income by freelancing, contracting, copywriting, career counseling, and consultancy.
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 […].
Pipeline Data Engineering
JANUARY 18, 2022
Data engineering salon. News and interesting reads about the world of data. Databases in 2021: A Year in Review Dr. Andy Pavlo, Co-founder, OtterTune It was a wild year for the database industry, with newcomers overtaking the old guard, vendors fighting over benchmark numbers, and eye-popping funding rounds. We also had to say goodbye to some of our database friends through acquisitions, bankruptcies, or retractions.
Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL
Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.
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