Fri.Nov 17, 2023

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Apache Druid: Who’s Using It and Why?

Seattle Data Guy

Image Source: Druid The past few decades have increased the need for faster data. Some of the catalysts were the push for better data and decisions to be made around advertising. In fact, Adtech has driven much of the real-time data technologies that we have today. For example, Reddit uses a real-time database to provide… Read more The post Apache Druid: Who’s Using It and Why?

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Introducing the Geodatabase Resources Hub

ArcGIS

This blog introduces the Geodatabase Resources Hub, a one-stop shop for all content offered by Esri's Geodatabase Team.

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The 5 Best Vector Databases You Must Try in 2024

KDnuggets

The top vector databases are known for their versatility, performance, scalability, consistency, and efficient algorithms in storing, indexing, and querying vector embeddings for AI applications.

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Google Cloud vs AWS- Which is Better: A Comparison

Knowledge Hut

Cloud computing has become an integral part of the IT sector. The days of struggling with complicated networking and on-premise server rooms are long gone. Thanks to cloud computing, services are now secure, reliable, and cost-effective. When we talk of top cloud computing providers, there are 2 names that are ruling the markets right now- AWS and Google Cloud.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are le

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Cybersecurity Lakehouses Best Practices Part 4: Data Normalization Strategies

databricks

In this four-part blog series "Lessons learned from building Cybersecurity Lakehouses," we are discussing a number of challenges organizations face with data engineering.

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GA4 Sessionization and Traffic Source handling in BigQuery

Medium Data Engineering

One of the biggest changes from UA to GA4 is how the underlying data is modeled.

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Striim’s Exciting New Partnership with Yellowbrick Data: Supercharging Data Analytics

Striim

Exciting news for data-driven organizations: Striim is thrilled to announce a Technology Partnership with Yellowbrick Data. This strategic alliance opens up a world of possibilities for businesses looking to leverage the power and speed of Striim’s real-time data streaming and integration capabilities to seamlessly move data into the Yellowbrick Data Warehouse and drive lightning-fast analytics.

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Medium Data Engineering

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Integrating Striim with BigQuery ML: Real-time Data Processing for Machine Learning

Striim

In today’s data-driven world, the ability to leverage real-time data for machine learning applications is a game-changer. Two key players in this field, Striim and Google BigQuery ML, offer a powerful combination to make this possible. Striim serves as a real-time data integration platform that seamlessly and continuously moves data from diverse data sources to destinations such as cloud databases, messaging systems, and data warehouses, making it a vital component in modern data architect

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The Definitive Entity Resolution Buyer’s Guide

Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? The Senzing Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. You’ll learn about use cases, technology and deployment options, top ten evaluation criteria and more.

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10 Essential AWS Tips and Tricks for a Seamless Beginning

Knowledge Hut

Amazon Web Services is a platform for cloud computing that provides both organizations and people with a wide range of services and solutions. It provides scalable and dependable infrastructure for various computing needs. Running your application in the AWS cloud can help you move faster and operate securely. AWS is vast and it's easy to get lost in the ocean of services and features it offers.

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Dynamic Copy Process

Cloudyard

Read Time: 2 Minute, 24 Second In this post, we will explore the automation of the COPY process for loading a Snowflake table from an S3 bucket. Imagine a scenario where data needs to be migrated from a traditional system to a Snowflake database. The source system contains numerous tables that must be replicated in Snowflake. The data has been exported to files in the S3 bucket, which can be in CSV or JSON format depending on the source system’s database.

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How to Become an Azure Architect? 2023 Roadmap

Knowledge Hut

A thrilling and gratifying adventure in the realm of cloud computing is becoming an Azure Architect. I can personally relate to the enormous potential and challenges this route presents as someone who has already started down it. I will walk you through the complete roadmap on how to become an Azure Architect in this blog. This thorough manual will assist you in navigating the Azure environment, whether you are an experienced user or want to advance your knowledge.

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Data Mesh Vs Data Fabric Architecture

Medium Data Engineering

Data architecture refers to the design and structure of an organization’s data-related systems, including databases, data warehouses, data… Continue reading on Medium »

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Azure Administrator (AZ-104) Study Guide for 2023

Knowledge Hut

Today, the Microsoft Azure Administrator AZ-104 is one of the most sought-after certifications for aspiring cloud professionals. It validates an individual’s proficiency in managing cloud services like networking, storage, computing, and security. This certification acts as a gateway to securing Azure Administrator job roles, along with serving as a base on which candidates can go for higher-level certifications down the line.

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Connecting to SAP HANA, PostgreSQL, and Teradata Databases using Python

Medium Data Engineering

Introduction: In this article, we will explore how to connect to three different databases — SAP HANA, PostgreSQL, and Teradata — using… Continue reading on Medium »

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What is Data Augmentation? Techniques, Applications, Examples

Knowledge Hut

Imagine you are training a machine learning model to classify images of cats. You have a large dataset of labeled cat images, but you’re worried that it’s not enough. What if your model encounters a cat in the wild that’s sitting in a strange position or has a different fur color than anything in your dataset? Will it be able to recognize it as a cat?

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Data Cleansing & Manipulation

Medium Data Engineering

Data cleaning or Data cleansing and manipulation is a crucial step in a data project that involves identifying and correcting errors or… Continue reading on Medium »

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How to Become an Azure Data Engineer? 2023 Roadmap

Knowledge Hut

The demand for data-related professions, including data engineering, has indeed been on the rise due to the increasing importance of data-driven decision-making in various industries. Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice. The global pandemic accelerated the digital transformation, leading to increased demand for data and analytics professionals across industries, such as healthcare and retail.

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High-Concurrency OLAP Workloads with StarRocks Query Cache

Medium Data Engineering

Application performance can suffer when thousands of users run lots of potentially heavy aggregation queries against large complex… Continue reading on Medium »

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How to Become an Azure Developer in 2023 [Step-by-Step Guide]

Knowledge Hut

The last ten years have seen a powerful revolution in cloud computing. A large number of businesses have been successful in utilizing cloud computing for a variety of advantages. Businesses no longer need to spend a fortune installing servers or renting servers from data centers. As a result, cloud service providers are now well-known in the computing industry.

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Deciphering the 2023 Data Job Market: Do the Numbers Suggest Oversaturation or Opportunity?

Towards Data Science

An in-depth analysis of the trends, challenges, and prospects of the data job market Continue reading on Towards Data Science »

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What is an API (Application Programming Interface) & How It Works?

Knowledge Hut

APIs, or Application Programming Interfaces, are the connective tissue of the digital world. They serve as intermediaries that enable different software applications, systems, or services to communicate and interact with each other, allowing data and functionality to be shared seamlessly. At their core, APIs define a set of rules and protocols that dictate how software components should interact.

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Deciphering the 2023 Data Job Market: Do the Numbers Suggest Oversaturation or Opportunity?

Medium Data Engineering

An in-depth analysis of the trends, challenges, and prospects of the data job market Continue reading on Towards Data Science »

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What is a Risk Audit? Types, Examples & How to Perform

Knowledge Hut

A risk audit is a systematic process that organizations use to evaluate and assess their risk management practices, policies, and procedures. The primary purpose of a risk audit is to identify, analyze, and manage risks more effectively. It's important for businesses to proactively manage risks, and risk audits are valuable tools for achieving this goal.

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One more brick: Delta Data Skipping

Medium Data Engineering

Internally, Databricks provides the “Delta Data Skipping” functionality to enhance performance in reading tables.

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How to Become an Azure Cloud Engineer? 2023 Roadmap

Knowledge Hut

It is no longer news that the cloud has changed how businesses work. It has provided a new paradigm to companies, allowing them to manage applications in a sorted manner. The switch towards cloud applications is so fast that the demand for cloud engineers is also rising significantly. If you have an inclination towards the cloud and qualify for the requirement criteria, you can start your career as a cloud engineer.

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Backfilling Mastery: Elevating Data Engineering Expertise

Medium Data Engineering

A go-to guide for data engineers wading through the backfilling maze Continue reading on Towards Data Science »

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10 Essential Azure Data Engineer Skills to Improve in 2023

Knowledge Hut

Azure Data Engineers play an important role in building efficient, secure, and intelligent data solutions on Microsoft Azure's powerful platform. The position of Azure Data Engineers is becoming increasingly important as businesses attempt to use the power of data for strategic decision-making and innovation. And to become a successful Azure Data Engineer, you'll need a blend of technical skills, soft skills, and domain knowledge related to data engineering and Azure services.

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Backfilling Mastery: Elevating Data Engineering Expertise

Towards Data Science

A go-to guide for data engineers wading through the backfilling maze Continue reading on Towards Data Science »

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The Future of AWS: 5 Trends & Predictions to Watch in 2023

Knowledge Hut

Amazon Web Services (AWS) has established itself as a reliable cloud computing service provider, serving millions of customers across different industries. With more companies adopting the cloud as part of their digital transformation efforts, no wonder that AWS is an important player in the market today. So what does AWS future look like? In this blog, we will share the top trends that we believe will shape AWS's future.

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Survey: Top Priorities of Enterprise Data Leaders

Acceldata

A recent survey of enterprise data leaders provides insights into data team priorities, concerns, and strategies.

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Marketing Project Manager Salary in 2023 [Freshers & Experienced]

Knowledge Hut

A marketing project manager is a specialist who oversees projects associated with marketing campaigns, either as an internal team member or as an external agency. Marketing project managers might coordinate a product launch from beginning to end or organize a launch campaign. Despite the fact that many marketers have tasks and responsibilities linked to products, advertising, and events a marketing project manager is often in charge of managing a big project or campaign with a defined beginning

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