Analytics Vidhya
JUNE 20, 2023
Introduction In today’s data-driven world, organizations across industries are dealing with massive volumes of data, complex pipelines, and the need for efficient data processing. Traditional data engineering solutions, such as Apache Airflow, have played an important role in orchestrating and controlling data operations in order to tackle these difficulties.
Confessions of a Data Guy
JUNE 20, 2023
Sometimes I think Data Engineering is the same as it was 10+ years ago when I started doing it, and sometimes I think everything has changed. It’s probably both. In some ways, the underlying concepts have not moved an inch, some certain truths and axioms still rule over us all like some distant landlord, requiring […] The post Old Dog Learn New Tricks?
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LinkedIn Engineering
JUNE 20, 2023
Co-authors: Shivansh Mundra , Gonzalo Aniano Porcile , Smit Marvaniya , Hany Farid A core part of what we do on the Trust Data Team at LinkedIn is create, deploy, and maintain models that detect and prevent many types of abuse. This spans the detection and prevention of fake accounts, account takeovers, and policy-violating content. We are constantly working to improve and increase the effectiveness of our anti-abuse defenses to protect the experiences of our members and customers.
KDnuggets
JUNE 20, 2023
In this article, we’ll learn to adapt pre-trained models to custom classification tasks using a technique called transfer learning. We will demonstrate it for an image classification task using PyTorch, and compare transfer learning on 3 pre-trained models, Vgg16, ResNet50, and ResNet152.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
databricks
JUNE 20, 2023
This blog is the first of a 3-part series chronicling TD Bank's Data Platform transformation and the enablement of their Data as a.
KDnuggets
JUNE 20, 2023
Orca is a 13B parameter model that learns to imitate the reasoning processes of LFMs. It uses progressive learning and teacher assistance from ChatGPT to overcome capacity gaps. By leveraging rich signals from GPT-4, Orca enhances its capabilities and improves imitation learning performance.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
KDnuggets
JUNE 20, 2023
Best practices, techniques, and tools to fully understand your data.
Snowflake
JUNE 20, 2023
It’s snowing on la croisette ! Snowflake is back again for another exciting year at Cannes Lions. The Cannes Lions Festival of Creativity, June 18–23, is the premiere media and entertainment industry event, bringing together legends, innovators, and thought leaders from around the globe. Simply put, it’s where people and organizations showcase what’s new, what’s next, and push the boundaries of what’s possible in the industry.
KDnuggets
JUNE 20, 2023
Experience one of the leading conversational AI models without subscription fees.
Acceldata
JUNE 20, 2023
Learn how to add and manage cloud data sources -- for sources like Snowflake, Databricks, Amazon S3, RedShift, BigQuery, and others -- to the Acceldata Data Observability Cloud.
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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.
Databand.ai
JUNE 20, 2023
Niv Sluzki June 20, 2023 What Is Data Integrity? Data integrity refers to the overall accuracy, consistency, and reliability of data stored in a database, data warehouse, or any other information storage system. It is a critical aspect of data management, ensuring that the information used by an organization is correct, up-to-date, and fit for its intended purpose.
Monte Carlo
JUNE 20, 2023
We collaborated and published an article with our friends over at ThoughtWorks and wanted to highlight it for you here as well. Enjoy! Have you ever come across an internal data product and side-eyed it like it’s your kid’s prom date? While it seems like it fits the requirements, you don’t quite trust it — who knows where the data in this shifty table has been.
Cloudyard
JUNE 20, 2023
Read Time: 2 Minute, 39 Second During this post we are going to discuss the latest release from Snowflake i.e. AWS EventBridge integration with Snowpipe. Recently in April month, Snowflake has announced the Amazon EventBridge support for Snowpipe auto-ingest. As we know that in current scenario, we can configure the Snowpipe with below approaches: Amazon SQS (Simple Queue Service) notifications for an S3 bucket.
Ripple Engineering
JUNE 20, 2023
The RippleX engineering team has published a new whitepaper that provides an overview of the Payment Engine (PE) system, including design concepts and examples. The PE system is a subsystem within the rippled software that is responsible for executing payments, offer crossings, and cash checks in the XRPL network, and is also used as part of the XRP Ledger’s path finding algorithm.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
Knowledge Hut
JUNE 20, 2023
E-commerce has rapidly become one of the primary forms of conducting business, with more people turning to it as their go-to method for shopping. This trend is expected to continue to grow in 2023 and beyond, making e-commerce an ever more essential business tool today. However, to succeed in e-commerce, businesses require certain skills and tools to build and run an effective online storefront.
databricks
JUNE 20, 2023
Lakehouse Apps is a new way to build native applications for Databricks. Lakehouse Apps will offer the most secure way to build, distribute.
Knowledge Hut
JUNE 20, 2023
Technology has revolutionized our lives, communication, and work processes and now, it is transforming the way we learn. Education technology, or EdTech, is a sector that has experienced tremendous growth in recent years. With the COVID-19 pandemic forcing schools to adopt remote learning, EdTech has become even more important. In this blog, we will explore the present and future of education technology and how it will shape the future of learning.
ArcGIS
JUNE 20, 2023
Learn about key editing functionality in ArcGIS Pro and how to find out more at this year's User Conference.
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.
Knowledge Hut
JUNE 20, 2023
Certification is a stepping-stone to the professional heights people aspire to in today's challenging working environment. A CBAP, i.e., Certified Business Analysis Professional credential, can assist business analysts in distinguishing out in the industry. A business analyst who has earned the CBAP certification joins a select group of professionals who are recognized as industry leaders.
ArcGIS
JUNE 20, 2023
Learn about new and improved functionality in the Q2 2023 release of ArcGIS Roads and Highways.
Knowledge Hut
JUNE 20, 2023
Business analysis is a crucial aspect of growth in this competitive market. Companies hire proficient experts to check different business aspects to find flaws and fill the gaps to get the desired output. These experts have to keep upgrading their knowledge, from starting their career in this domain to scaling up to get to an executive rank. They would have to keep learning the changing trends.
Netflix Tech
JUNE 20, 2023
Avneesh Saluja , Andy Yao , Hossein Taghavi Introduction When watching a movie or an episode of a TV show, we experience a cohesive narrative that unfolds before us, often without giving much thought to the underlying structure that makes it all possible. However, movies and episodes are not atomic units, but rather composed of smaller elements such as frames, shots, scenes, sequences, and acts.
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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.
Knowledge Hut
JUNE 20, 2023
Natural Language Processing (NLP) has been a buzzword in the tech industry. From virtual assistants like Siri and Alexa to chatbots and language translators, NLP has made it possible for machines to understand and respond to human language in a way that earlier was considered impossible. As the demand for NLP technology continues to grow, so do the job opportunities.
Scott Logic
JUNE 20, 2023
I recently spent some time remotely attending JSNation , a hybrid-format JavaScript conference held in Amsterdam. With two tracks running over two days, there were plenty of talks to choose from, and plenty more available at sister conference React Summit around the same dates by the same organisers. It was a very good and professionally run conference.
Knowledge Hut
JUNE 20, 2023
Artificial intelligence has made data analysis and its use super smooth and convenient. Therefore, it is no longer surprising that this technology will soon change how things get done across different business domains. Moreover, it will be a significant part of the major developments that will happen in the future. You can find countless AI tools in the market.
Scott Logic
JUNE 20, 2023
It was the day. After months of hard work, rattling lines of code away, time in meetings, questions, debates, pair programming, banging your head against the wall after hours spent on one elusive bug, new technologies, old technologies, refactoring, testing, polishing and then… the day arrives. Our grad project app is to be released into the wild, used by the very ones who created it.
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.
Knowledge Hut
JUNE 20, 2023
As we head towards the second half of 2023, the world of technology evolves at a rapid pace. With the rise of AI and blockchain, the demand for data, its management and the need for security increases rapidly. A logical consequence of these changes is the way fields like database security research topics and DBMS research have come up as the need of the hour.
DoorDash Engineering
JUNE 20, 2023
In real-world forecasting applications , it is a challenge to balance accuracy and speed. We can achieve high accuracy by running numerous models and configuration combinations and we gain speed through running fast, computationally inexpensive models. We explore a number of models and configuration combinations at DoorDash to forecast demand on our platform.
Knowledge Hut
JUNE 20, 2023
A novice data scientist prepared to start a rewarding journey may need clarification on the differences between a data scientist and a machine learning engineer. Many people are learning data science for the first time and need help comprehending the two job positions. In addition, they want to know their daily duties and obligations. Data science is relatively new, and roles and job titles occasionally change.
Knowledge Hut
JUNE 20, 2023
In a world where the business landscape is evolving, skilled business managers are in-demand, due to the increasing complexity of business operations and the need for effective business management to carry out these operations. A business manager plans, organizes, directs, and controls various business activities. These activities range from finance, operations, marketing , and Human Resources to name a few.
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In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.
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