Tue.Jun 25, 2024

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5 Tips to Step Up Your Data Science Game Right Away

KDnuggets

This article intends to provide practical advice for becoming a better data scientist by focusing on five different areas of proficiency. Whether you are starting out, or looking to get grounded after years as a practitioner, jump in and elevate your game.

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DLT pipeline development made simple with notebooks

databricks

We’re just a couple weeks removed from the biggest Data + AI Summit in history, where we introduced Databricks LakeFlow , a unified.

Data 128
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Enhanced Cybersecurity with Real-Time Log Aggregation and Analysis

Confluent

Leverage Confluent’s data streaming platform to continuously ingest, process, and analyze logs to strengthen your cybersecurity and SIEM.

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8 Best Python Data Science Books [Beginners and Professionals]

Knowledge Hut

Python could be a high-level, useful programming language that allows faster work. It supports a range of programming paradigms, as well as procedural, object-oriented, and practical programming, also as structured programming. Thanks to its intensive customary library, it's often remarked as a "batteries included" language. Python was designed by Dutch computer programmer Guido van Rossum in the late 1980s.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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5 Ways Healthcare and Life Sciences Organizations Are Using Gen AI

Snowflake

Much has been said about how generative AI will impact the healthcare and life sciences industries. While generative AI will never replace a human healthcare provider, it is going a long way toward addressing key challenges and bottlenecks in the industry. And the effects are expected to be far-reaching across the sector. According to a recent Snowflake report, Healthcare and Life Sciences Data + AI Predictions 2024 , the companies that will come out ahead during this time are those that are for

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The key to a happy Rust/C++ relationship

Engineering at Meta

The history of Rust at Meta goes all the way back to 2016, when we first started using it for source control. Today, it has been widely embraced at Meta and is one of our primary supported server-side languages (along with C++, Python, and Hack). But that doesn’t mean there weren’t any growing pains. Aida G., a member of one of Meta’s first Rust teams, joins Pascal Hartig ( @passy ) on the latest Meta Tech Podcast to dive into the challenges of getting Rust to interact with Meta’s large amount o

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Bringing Human and AI Agents Together for Enhanced Customer Experience

KDnuggets

Why investing in the successful collaboration of humans and AI agents is the key to unlocking the true potential of your customer support operations.

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Custom Salesforce Report: 3 Easy Steps

Hevo

Salesforce is a subscription-based customer relationship management software that is offered as a completely managed cloud service. Salesforce revolutionized the CRM space by sparing customers the effort of developing custom software or maintaining installations of third-party software. In this blog post, we will discuss how to create Custom Salesforce Reports.

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How To Create Minimal Docker Images for Python Applications

KDnuggets

This tutorial will teach you how to create minimal Docker images for Python applications.

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Deploying Debezium on Red Hat OpenShift: 2 Easy Steps

Hevo

Debezium is the database monitoring platform that continuously captures and streams all real-time modifications updated on the respective database systems like MySQL and PostgreSQL. Usually, developers use CLI tools like the default command prompt terminal to work with Debezium, which is the traditional way of setting up the Debezium workspace.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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The Impact of AI on the Tech Industry

KDnuggets

The far-reaching and rapidly evolving dynamics of the AI landscape, cover the benefits and challenges.

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Redshift Extract Function 101: Syntax and Usage Simplified

Hevo

Organizations face a discernible lag in performance with the ever-increasing rise in data. Traditional data warehouses become a financial burden with time despite proper planning as companies also suffer storage limitations.

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Real-Time Customer Relationships: Personalization in Banking

Striim

When it comes to choosing a banking institution, customers have options. That’s why building customer relationships fueled by real-time data and personalization in banking is more critical than never. Personalized relationships are at the heart of customer loyalty and satisfaction, and in the digital age, these relationships are increasingly driven by real-time data.

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Packet Sniffing: Types, Methods, Examples, and Best Practices

Knowledge Hut

Today we live in a digitalized environment where computers and other devices are continually transferring data over the network in the form of packets. These packets are data segments sent from one computer to another over a network and are involved in almost everything. From browsing the internet to managing the entire database of your organization, packets are transferred constantly over the network.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

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.

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Understanding Kafka Debezium Event Sourcing: 7 Critical Steps

Hevo

Today, a combination of Debezium and Kafka is embraced by organizations to record changes in databases and provide information to subscribers (other applications). In this article, you will learn about Kafka Debezium, features of Debezium, and how to perform event sourcing using Debezium and Kafka. Prerequisites What is Kafka?

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Now on-demand: Data + AI Summit sessions for data architects, engineers, and scientists

databricks

Thousands of data architects, engineers, and scientists met at Data + AI Summit in San Francisco to hear from industry luminaries like Fei.

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Preparing Data for BigQuery: A Comprehensive Guide

Hevo

With most companies adopting cloud as their primary choice of storing data, the need for having a powerful and robust cloud data warehouse is on the rise. One of the most popular cloud-based data warehouse that meets all these requirements is Google’s BigQuery data warehouse.

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Automating large-scale refactorings with Error Prone

Picnic Engineering

When it comes to writing good computer programs, avoiding mistakes is key. To prevent errors, several processes are generally put in place, such as thorough review procedures and the use of static analysis tools. However, despite these measures, human error remains a stubborn obstacle in software development. Issues frequently slip through the review process, and tools like Checkstyle, SonarCloud, and SpotBugs only highlight some common problems.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

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.

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Working with Salesforce Object APIs: 3 Easy Steps

Hevo

Manually Tracking Sales-based Leads and collecting data from Customer Interactions, Social Media, Emails, etc. can be a cumbersome task, especially when your customer base is growing at an exponential rate. This can be streamlined by an autonomous tool like Salesforce. Salesforce is a Customer Relationship Management(CRM) software company based out of San Francisco.

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PySpark Explained: Dealing with Invalid Records When Reading CSV and JSON Files

Towards Data Science

Effective techniques for identifying and handling data errors Continue reading on Towards Data Science »

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Distributed Tracing in microservice applications using Debezium: Easy Guide

Hevo

Today, in microservices architecture, a large number of applications are communicating with each other. Thus, application performance monitoring is useful for debugging a single application. However, when an application expands into multiple services, it is important to know the time taken by each service, at what stage the exception occurs, and the system’s overall health.