Wed.May 22, 2024

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Where to Go Next in Your Data Career

KDnuggets

We are all looking for the right opportunities in our career. In the landscape of data-related careers, the roles can be grouped into classes, and future opportunities tend to follow natural migration paths between the class groups.

Data 147
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WebSockets in Scala, Part 2: Integrating Redis and PostgreSQL

Rock the JVM

by Herbert Kateu 1. Introduction This article is a follow-up to the websocket article that was published previously. To recap, we created an in-memory chat application using WebSockets with the help of the Http4s library. The chat application had a variety of features implemented through commands directly in the chat window such as the ability to create users, create chat rooms, and switch between chat rooms.

Scala 136
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Announcing General Availability of Liquid Clustering

databricks

We’re excited to announce the General Availability of Delta Lake Liquid Clustering in the Databricks Data Intelligence Platform. Liquid Clustering is an innovative.

Data 131
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Snowflake Announces Agreement to Acquire TruEra AI Observability Platform to Bring LLM and ML Observability to the AI Data Cloud 

Snowflake

Accelerating enterprise AI use cases into production is now a board-level priority for most companies. However, one of the key challenges in AI today is ensuring that those use cases are ready for real-life use and continue to perform at a high level in production. Not only must enterprises ensure accurate, reliable, and valuable results they must also address and mitigate critical issues like bias, hallucinations, and toxicity.

Cloud 123
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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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Optimizing Databricks LLM Pipelines with DSPy

databricks

If you’ve been following the world of industry-grade LLM technology for the last year, you’ve likely observed a plethora of frameworks and tools.

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Post-quantum readiness for TLS at Meta

Engineering at Meta

Today, the internet (like most digital infrastructure in general) relies heavily on the security offered by public-key cryptosystems such as RSA, Diffie-Hellman (DH), and elliptic curve cryptography (ECC). But the advent of quantum computers has raised real questions about the long-term privacy of data exchanged over the internet. In the future, significant advances in quantum computing will make it possible for adversaries to decrypt stored data that was encrypted using today’s cryptosystems.

Bytes 105

More Trending

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What is CIA Triad in Cyber Security and Why it is Important?

Knowledge Hut

In the CIA Triad in Cyber Security, you may picture a man in a black suit solving crime and running behind criminals; we are not talking about that. Our CIA triad is a fundamental cybersecurity model that acts as a foundation for developing security policies designed to protect data. Confidentiality, integrity, and availability are the three letters upon which the CIA triad stands.

IT 98
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Composable data management at Meta

Engineering at Meta

In recent years, Meta’s data management systems have evolved into a composable architecture that creates interoperability, promotes reusability, and improves engineering efficiency. We’re sharing how we’ve achieved this, in part, by leveraging Velox , Meta’s open source execution engine, as well as work ahead as we continue to rethink our data management systems.

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How Real-World Enterprises are Leveraging Generative AI

databricks

Generative AI (GenAI) is moving incredibly fast. So much so, that in less than two years, GenAI has emerged as one of the.

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Serverless Decoded: Reinventing Kafka Scaling with Elastic CKUs

Confluent

Scaling Kafka clusters up and down to meet changing demands is challenging. In this blog, learn how elastic autoscaling Enterprise clusters save you time and money.

Kafka 69
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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 Past, Present, and Future of Data Quality Management: Understanding Testing, Monitoring, and Data Observability in 2024

Monte Carlo

Data quality monitoring. Data testing. Data observability. Say that five times fast. Are they different words for the same thing? Unique approaches to the same problem? Something else entirely? And more importantly—do you really need all three? Like everything in data engineering, data quality management is evolving at lightning speed. The meteoric rise of data and AI in the enterprise has made data quality a zero day risk for modern businesses—and THE problem to solve for data teams.

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What’s new in Space Time Pattern Mining toolset in ArcGIS Pro 3.3 – Time Series Cross Correlation

ArcGIS

This article introduces the concept of the Time Series Cross Correlation tool. Three different real-world examples are also included.

65
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A Modern Data Strategy for Enterprises – 2nd Edition

The Modern Data Company

A Modern Data Strategy for Enterprises – 2nd Edition Stuck with unusable data? Enterprises drowning in information can unlock its true value with Modern DataOS. Take a data products approach and create secure, high-quality data packages designed for specific business needs. Imagine data like department-specific apps – easily accessible and relevant.

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MVI [Model View Intent] architecture in Android

Eventbrite Engineering

Author: Karishma Agrawal, Senior Android Engineer, Eventbrite India At Eventbrite, our Android apps (Organizer App and Attendee App) are based on MVI [Model View Intent] architecture pattern that is often attributed to Cycle.js, a JavaScript framework developed by André Staltz. MVI has been adopted and adapted by various developers and communities across different programming languages … Continue reading "MVI [Model View Intent] architecture in Android" The post MVI [Model View Intent] arc

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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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Booting in Operating System: Definition, Types and Process

Knowledge Hut

The operating system is loaded via a bootstrapping procedure, often known as booting. Every computer has a boot process. An operating system or other larger program, such as a boot loader, is loaded by this application. The process of booting involves turning on a computer. The memory of the CPU is empty when it is first turned on. After loading the operating system into the main memory and turning on the computer, it is prepared to accept user commands.

Systems 52
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WebSockets in Scala: Part 2 - Integrating Redis and PostgreSQL

Rock the JVM

Learn how to integrate Redis with Scala using redis4cats and persist records in Postgres with skunk, enhancing your chatroom application with powerful new features

Scala 52
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DevOps vs SRE: Major Differences

Knowledge Hut

When it comes to DevOps vs SRE, these two are different functions that have been developed over the years. Both have responsibilities, but the difference is that DevOps stands for Development Operations, and SRE stands for Site Reliability Engineering. Over the past few years, the mindsets and practices of DevOps and Site Reliability Engineering have been widely accepted.

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From Constant Firefighting to Innovation: How Databricks's Money Team Halved Their Ops Burden in One Year!

databricks

In the last year, the Databricks Money Engineering Team has embarked on an exhilarating journey, achieving nearly double our operational efficiency. We are.

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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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Introducing Create Spatial Sampling Locations tool in ArcGIS Pro 3.3

ArcGIS

The Create Spatial Sampling Locations tool allows you to create a continuous spatial sampling design using various sampling designs.

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Visualize Civil 3D design surfaces together with built underground components in ArcGIS Pro

ArcGIS

Defining the Topography feature class as current ground to visualize underground Autodesk Civil 3D components.

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Visualize Civil 3D design surfaces together with built underground components in ArcGIS Pro

ArcGIS

Defining the Topography feature class as current ground to visualize underground Autodesk Civil 3D components.