Fri.Jun 23, 2023

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What's new in Apache Spark 3.4.0 - shuffle changes

Waitingforcode

Shuffle is a permanent point in the What's new in Apache Spark series. Why? It's often one the most time consuming part of the jobs and knowing the improvement simply helps writing better pipelines.

IT 130
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From Unstructured to Structured Data with LLMs

KDnuggets

Learn how to use large language models to extract insights from documents for analytics and ML at scale. Join this webinar and live tutorial to learn how to get started.

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Cybersecurity Professionals: The Unsung Superheroes of the Digital World

LinkedIn Engineering

In a world where superheroes captivate our imaginations, it's sometimes hard to recognize the real-life superheroes among us like intelligence analysts, forensic scientists, and cybersecurity professionals. Yes, cybersecurity professionals! Though we may not wear capes or possess extraordinary powers, our role, especially here at LinkedIn, is crucial in safeguarding our members, customers, and employees from the ever-present threat of cyberattacks.

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More Free Courses on Large Language Models

KDnuggets

Interested in learning about large language models? Get up and running with these free courses from DeepLearning.AI, Google Cloud, Udacity, and more.

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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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Databricks on AWS Guide to Data + AI Summit 2023 featuring Labcorp, Conde Nast, Grammarly, Vizio, NTT Data, Impetus, Amgen, and YipitData

databricks

This is a collaborative post from Databricks and Amazon Web Services (AWS). We thank Venkat Viswanathan, Data and Analytics Strategy Leader, Partner Solutions.

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Noteable Plugin: The ChatGPT Plugin That Automates Data Analysis

KDnuggets

Fast forward your EDA process using this ChatGPT plugin.

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Say Hello to Superfast Top-K Queries in Snowflake

Snowflake

As data volumes continue to grow across many industries, it becomes increasingly important that queries are performant enough to meet the needs of data-intensive and time-constrained analytics. One such common query type is “top-k,” which are queries that have both ORDER BY and LIMIT clauses. We are pleased to announce that optimizations resulting in potentially significant improvements in the performance of these types of queries in Snowflake are now generally available.

Banking 52
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Selecting Retry Frameworks for Your Java Project

Ripple Engineering

Why use retry logic? At Ripple we create and maintain a large set of micro-services that interact over network resources to solve customer needs. Although networks are mostly stable, services need to code defensively against potential short network outages. For example, a network blip could disrupt communication between two micros-services, or between a micro-service and a backing store, such as a database.

Java 52
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10 Best Angular Tools in 2023 [Beginners & Experts]

Knowledge Hut

Angular is one of the most popular & and widely used web development frameworks in the world. Whether you are a beginner just starting, or an experienced developer looking to streamline your workflow, having the right Angular design tools at your fingertips can mean the difference between success & frustration. The Angular community is home to a wide range of tools & resources that can help you achieve your goals.

Coding 52
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Quickbase to Snowflake: 3 Easy Methods to Replicate Data

Hevo

Imagine your marketing team working on a new product launch. They can create a Quickbase application specifically designed for project management. Within the application, they can set up tables to track tasks, deadlines, team members, and dependencies. That’s just one use case of Quickbase.

Data 52
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Get Better Network Graphs & Save Analysts Time

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.

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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. The data engineer learning path includes having set-skills and awareness of the process and channel data and having the zest to work as a frontline technician who can retrieve data from various data sources.

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Harvest to Snowflake Data Migration: 2 Easy Methods

Hevo

Imagine your HR and accounting departments suddenly requested a connection between Harvest and Snowflake. And you have to sacrifice your engineering bandwidth to handle this task head-on. This can be challenging when you’re already busy monitoring and configuring your current data pipeline.

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Stop Hard Coding in a Data Science Project – Use Config Files Instead

KDnuggets

How to efficiently interact with config files in Python.

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Top Java Project Ideas from Beginners to Experts in 2023

Knowledge Hut

Java is an excellent choice for developing large-scale projects, as it offers memory management, exception handling, and threading features. It is highly portable, meaning that it can run on different platforms and operating systems, making it a valuable tool for developing applications that can be used across different devices. Core java projects can vary in scope and complexity, ranging from simple applications to complex enterprise-level systems.

Java 52
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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.

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How to activate the Snowflake Data Cloud with AI-Powered Analytics

ThoughtSpot

During Beyond 2023, we officially launched ThoughtSpot Sage , our new search experience that combines the power of GPT’s natural language processing and generative AI capabilities with the accuracy and security of our patented self-service analytics platform. As the experience layer of the modern data stack and an Elite Partner of Snowflake, we are constantly thinking about how our product innovation unlocks value for our shared customers.

Cloud 79
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What is Real-time Data Analytics and Why is it Important?

Knowledge Hut

Real-time data analytics is an essential innovation that enables companies to act quickly on data. By this year, more than half of business systems would base choices on current context data. This demonstrates the rising significance of real-time analytics architecture in the hectic corporate climate of today. Analytics will continue to allow more adaptable and real-time decision-making in 2023.

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Lakehouse Center of Excellence: 4 Key Tenets of a Successful Data and AI Business

databricks

Databricks’ mission is to “democratize access to data analytics and AI.” Not only does that statement give meaning to the everyday work of data.

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What is Project Performance Management? A Complete Guide

Knowledge Hut

Projects that start need to be tracked to ensure they remain compliant with business objectives, market needs, and stipulated baselines. All of this evaluation, monitoring, and control is what primarily formulates the important function of project performance management for a project manager. In this article, we aim to establish a foundational understanding of what performance management is in project management, what it encompasses, what is the modus operandi of it, how project managers achieve

Project 52
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Understanding User Needs and Satisfying Them

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.