Simon Späti
JANUARY 22, 2022
Image by Mohammad Bagher Adib Behrooz on Unsplash Why GraphQL for data engineers, you might ask? GraphQL solved the problem of providing a distinct interface for each client by unifying it to a single API for all clients such as web, mobile, web apps. The same challenge we’re now facing in the data world, where we integrate multiple clients with numerous backend systems.
KDnuggets
JANUARY 24, 2022
What does the data reveal if we ask: "What are the 10 Best Python Courses?". Collecting almost all of the courses from top platforms shows there are plenty to choose from, with over 3000 offerings. This article summarizes my analysis and presents the top three courses.
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Data Engineering Podcast
JANUARY 23, 2022
Summary Data platforms are exemplified by a complex set of connections that are subject to a set of constantly evolving requirements. In order to make this a tractable problem it is necessary to define boundaries for communication between concerns, which brings with it the need to establish interface contracts for communicating across those boundaries.
Cloudera
JANUARY 28, 2022
As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts. Private cloud continues to gain traction with firms realizing the benefits of greater flexibility and dynamic scalability.
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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?
Confluent
JANUARY 24, 2022
On behalf of the Apache Kafka® community, it is my pleasure to announce the release of Apache Kafka 3.1.0. The 3.1.0 release contains many improvements and new features. We’ll highlight […].
KDnuggets
JANUARY 24, 2022
There are many great boosting Python libraries for data scientists to reap the benefits of. In this article, the author discusses LightGBM benefits and how they are specific to your data science job.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Teradata
JANUARY 25, 2022
The use of integrated data to restore customer confidence will be big in 2022. Building a customer insights foundation should be high on the to-do list for retail & CPG businesses this year.
DataKitchen
JANUARY 25, 2022
Analytics are prone to frequent data errors and deployment of analytics is slow and laborious. The strategic value of analytics is widely recognized, but the turnaround time of analytics teams typically can’t support the decision-making needs of executives coping with fast-paced market conditions. Perhaps it is no surprise that the average tenure of a CDO or CAO is only about 2.5 years.
KDnuggets
JANUARY 25, 2022
Whether you’re working independently or setting up a stack for a company, you need an affordable stack option. Here’s how you can set up your stack without spending too much.
Cloudera
JANUARY 26, 2022
According to 451 Research , 96% of enterprises are actively pursuing a hybrid IT strategy. Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Cloud technologies and respective service providers have evolved solutions to address these challenges. . The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on
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.
Netflix Tech
JANUARY 24, 2022
Angus Croll Netflix is used by 222 million members and runs on over 1700 device types ranging from state-of-the-art smart TVs to low-cost mobile devices. At Netflix we’re proud of our reliability and we want to keep it that way. To that end, it’s important that we prevent significant performance regressions from reaching the production app. Sluggish scrolling or late rendering is frustrating and triggers accidental navigations.
Confluent
JANUARY 27, 2022
Today we’re announcing an exciting Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS). This new five-year agreement builds on our strong existing collaboration, with the goal of making it […].
KDnuggets
JANUARY 26, 2022
In order to achieve quality data, there is a process that needs to happen. That process is data cleaning. Learn more about the various stages of this process.
Cloudera
JANUARY 27, 2022
Insurers are increasingly adopting data from smart devices and related technologies to support and service their customers better. According to Statista , the projected installed base of IOT devices is expected to increase to 30.9 billion units by 2025, a huge jump from the 13.8 billion units that exist today. I have been researching more about how we can use the new data from those devices to design more innovative insurance products while being aware that these should all be contingent upon cu
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.
AltexSoft
JANUARY 26, 2022
In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Quoting a comment from the Reddit discussion , “Their [analytics engineers] job is to marry the technical requirements of the data stack with the business objectives”.
Cloud Academy
JANUARY 27, 2022
Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. This process is generally called “Extract, Transfer, Load” or ETL. The data then gets prepared in formats to be used by people such as business analysts, data analysts, and data scientists. The format of the data will be different depending on the intended audience.
KDnuggets
JANUARY 27, 2022
This post is tentative to explain by "human factor" - a typical Python vs. R user, the widespread opinion that Python is better suited than R for developing production-quality code.
Cloudera
JANUARY 24, 2022
Many organizations initiate data projects because they want to increase revenue, but a select few tackle projects that truly transform society. . This year, Cloudera is recognizing three organizations as finalists in the Data for Good category of its annual Data Impact Awards : Union Bank of the Philippines, Keck Medicine of USC, and the National Bone Marrow Donor Program.
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.
Hepta Analytics
JANUARY 28, 2022
You may find yourself needing to deploy multiple NGINX Ingress Controllers to serve each namespace on your Kubernetes cluster. This may be useful in a scenario where you have multiple client deployments on the same K8S cluster; and you want to assign a public load balancer IP address for each client to achieve logical separation. This blogpost explores how to do that.
ProjectPro
JANUARY 28, 2022
In data science, algorithms are usually designed to detect and follow trends found in the given data. The modeling follows from the data distribution learned by the statistical or neural model. In real life, the features of data points in any given domain occur within some limits. They will only go outside of these expected patterns in exceptional cases, which are usually erroneous or fraudulent.
KDnuggets
JANUARY 26, 2022
The High Paying Side Hustles for Data Scientists; Top Programming Languages and Their Uses; Artificial Intelligence Project Ideas for 2022; The Best Python Courses: An Analysis Summary; Top Stories, Jan 17-23: The High Paying Side Hustles for Data Scientists.
Rockset
JANUARY 28, 2022
Seesaw Learning Inc. provides a leading online student learning platform used by more than 10 million K-12 teachers, students and family members in the U.S. every month. The San Francisco company has grown steadily since its founding in 2013, with its hosted service in use in 75% of American schools and in another 150 countries. Of course, when COVID-19 hit in early 2020 and forced schools to abruptly switch to full-time remote learning, the need for Seesaw’s platform skyrocketed.
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.
Teradata
JANUARY 27, 2022
The prevalence of new business models, emerging global risks & modernization of data processing in the cloud is ushering in a new era for credit risk management & the transformation of risk analytics.
Grouparoo
JANUARY 26, 2022
In psychology, there is a famous construct created by Abraham Maslow called the hierarchy of needs. Put simply, it says that people must first satisfy their basic needs before they can progress to focusing on more nuanced goals. It’s often shown as a pyramid where each need builds on top of the previous one. The goal, of course, is to reach the top.
KDnuggets
JANUARY 25, 2022
In this article, see how you can get above 90% accuracy on the validation set with a pretty straightforward approach. You'll also see what happens to the validation accuracy if we scale down the amount of training data by a factor of 20. Spoiler alert - it will remain unchanged.
U-Next
JANUARY 26, 2022
Before we go on to explain why they made the best decisions and how they have found their ‘Happily Ever After’ in the career with our program, here are some fun facts about the booming Data Science domain – According to Globe Newswire , The global predictive analytics market is expected to become 21.5 billion USD by 2025, growing at a CAGR of 24.5%.
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 25, 2022
Did you know that, according to Linkedin, over 24,000 Big Data jobs in the US list Apache Spark as a required skill? Learning Spark has become more of a necessity to enter the Big Data industry. One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this.
Preset
JANUARY 27, 2022
Apache Superset 1.4 is now out! This version contains the most number of bug fixes in recent history, a variety of UX improvements, and improved database support.
KDnuggets
JANUARY 25, 2022
Participating in competitions has taught me everything about machine learning and how It can help you learn multiple domains faster than online courses.
U-Next
JANUARY 25, 2022
Before we go on to explain why they made the best decisions and how they have found their ‘Happily Ever After’ in the career with our program, here are some fun facts about the booming Data Science domain – According to Globe Newswire , The global predictive analytics market is expected to become 21.5 billion USD by 2025, growing at a CAGR of 24.5%.
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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