Thu.Jun 20, 2024

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What I’ve Learned After A Decade Of Data Engineering

Confessions of a Data Guy

After 10 years of Data Engineering work, I think it’s time to hang up the proverbial hat and ride off into the sunset, never to be seen again. I wish. Everything has changed in 10 years, yet nothing has changed in 10 years, how is that even possible? Sometimes I wonder if I’ve learned anything […] The post What I’ve Learned After A Decade Of Data Engineering appeared first on Confessions of a Data Guy.

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Deploying Machine Learning Models: A Step-by-Step Tutorial

KDnuggets

Image by author Model deployment is the process of trained models being integrated into practical applications. This includes defining the necessary environment, specifying how input data is introduced into the model and the output produced, and the capacity to analyze new data and provide relevant predictions or categorizations.

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The Future of Telecoms: Embracing Gen AI as a Strategic Competitive Advantage

Snowflake

The telecom industry is undergoing an unprecedented transformation. Fueled by tech advancements such as 5G, cloud computing, Internet of Things (IoT) and machine learning (ML), telecoms have the opportunity to reshape and streamline operations and make significant improvements in service delivery, customer experience and network optimization. Key to these technologies is generative AI (gen AI), a dynamic form of artificial intelligence that leverages vast amounts of data to analyze and produce r

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Creating AI-Driven Solutions: Understanding Large Language Models

KDnuggets

Understanding LLMs is pivotal in unlocking the full potential of AI-driven solutions across various domains. As we navigate the process of building AI-driven solutions, it is essential to approach the development and deployment of LLMs with a focus on responsible AI practices.

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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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Modern Data Engineering: Free Spark to Snowpark Migration Accelerator for Faster, Cheaper Pipelines in Snowflake

Snowflake

In the age of AI, enterprises are increasingly looking to extract value from their data at scale but often find it difficult to establish a scalable data engineering foundation that can process the large amounts of data required to build or improve models. Designed for processing large data sets, Spark has been a popular solution, yet it is one that can be challenging to manage, especially for users who are new to big data processing or distributed systems.

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Databricks Named a Leader in 2024 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms

databricks

We are excited to announce that Gartner has recognized Databricks as a Leader in the 2024 Gartner® Magic Quadrant™ for Data Science and.

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A Recap of the Data Engineering Open Forum at Netflix

Netflix Tech

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale. Netflix is not the only place where data engineers are solving challenging problems with creative solutions.

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The Only Course You Need to Smash Your Data Analyst Career

KDnuggets

Stop roaming the internet trying to find the perfect data analyst course and read this!

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Data Quality Anomaly Detection: Everything You Need to Know

Monte Carlo

I bet you’re tired of hearing it at this point: garbage in, garbage out. It’s the mantra for data teams, and it underlines the importance of data quality anomaly detection for any organization. The quality of the input affects the quality of the output – and in order for data teams to produce high-quality data products, they need high-quality data from the very start.

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The Best AWS Glue Tutorial: 3 Major Aspects

Hevo

ETL (Extract, Transform, and Load) is an emerging topic in all IT Industries. Industries often look for an easy solution to do ETL on their data without spending much effort on coding. If you’re also looking for such a solution, then you’ve landed in the right place.

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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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Redefining Hosting: A Customer-Driven Journey to Better Deployments

Monte Carlo

No two companies are ever quite the same. Some teams have more security needs. Other teams are concerned about costs or administration requirements. So, when it comes to how organizations choose to deploy new software, there’s never a one-size-fits-all approach. That’s particularly true when you’re working with a customer resource as critical as data.

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Setting up Redshift Data Lake Export: Made Easy 101

Hevo

AWS (Amazon Web Services) is one of the leading providers of Cloud Services. It provides Cloud services like Amazon Redshift, Amazon S3, and many others for Data Storage. Extract, Transform, Load are 3 important steps performed in the field of Data Warehousing and Databases.

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Failing to Auto Scale Elasticsearch in Kubernetes

Zalando Engineering

Introduction In Lounge by Zalando, we run an Elasticsearch cluster in Kubernetes to store user facing article descriptions. Our business model is such that we receive about three times the normal load during the busy hour in the morning and therefore we use schedules to automatically scale in and out applications to handle that peak. If scaling out in the morning fails, we face a potential catastrophe.

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Oracle Streams CDC: Detailed Guide

Hevo

Introduction The purpose of this post is to introduce you to Oracle Streams concepts. You will learn about the various components that make up the Oracle Streams technology. Towards the end, you will find practical examples detailing how to implement Oracle Streams CDC in a production environment. What is Oracle Streams?

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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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8 Powerful Benefits of Change Data Capture

Hevo

As data grows at a massive scale, industries are adopting new ways to manage data effectively. One of the most popular techniques for managing data is CDC. The benefits of change data capture (CDC) enables organizations to capture changes made to data sources.

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Snowflake Security & Sharing Best Practices

Hevo

Businesses today are overflowing with data and thus are majorly dependent on big data platforms that support digital transformation through which they can streamline the flow of data for real-time insights delivery and better decision making. This article will take you through some of the important aspects of Snowflake security and sharing practices.

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Best Snowflake Performance Tuning Tactics

Hevo

In recent years, businesses worldwide have scaled up their Data Collection operations, leading to the term ‘Big Data.’ Today, companies collect information from various sources, including Business Transactions, Industrial Equipment, Social Media, and more. Accordingly, these organizations need an efficient way of storing and analyzing this information.

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Snowflake Security & Sharing Best Practices

Hevo

Businesses today are overflowing with data and thus are majorly dependent on big data platforms that support digital transformation through which they can streamline the flow of data for real-time insights delivery and better decision making. This article will take you through some of the important aspects of Snowflake security and sharing practices.

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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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Cloud Data Ingestion Simplified 101

Hevo

The surge in Big Data and Cloud Computing has created a huge demand for real-time Data Analytics. Companies rely on complex ETL (Extract Transform and Load) Pipelines that collect data from sources in the raw form and deliver it to a storage destination in a form suitable for analysis.

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8 Powerful Benefits of Change Data Capture

Hevo

As data grows at a massive scale, industries are adopting new ways to manage data effectively. One of the most popular techniques for managing data is CDC. The benefits of change data capture (CDC) enables organizations to capture changes made to data sources.

Data 40
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Setting up Redshift Data Lake Export: Made Easy 101

Hevo

AWS (Amazon Web Services) is one of the leading providers of Cloud Services. It provides Cloud services like Amazon Redshift, Amazon S3, and many others for Data Storage. Extract, Transform, Load are 3 important steps performed in the field of Data Warehousing and Databases.

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Data Ingestion Azure Data Factory Simplified 101

Hevo

As data collection within organizations proliferates rapidly, developers are automating data movement through Data Ingestion techniques. However, implementing complex Data Ingestion techniques can be tedious and time-consuming for developers.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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How to Set Up Amazon Redshift ODBC Driver Connection

Hevo

Are you trying to set up an Amazon Redshift ODBC Driver connection? Have you looked all over the internet to achieve it? If yes, then this blog will answer all your queries. ODBC (Open Database Connectivity) is an interface by Microsoft. You can use it to connect your application to a database.

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Oracle Streams CDC: Detailed Guide

Hevo

Introduction The purpose of this post is to introduce you to Oracle Streams concepts. You will learn about the various components that make up the Oracle Streams technology. Towards the end, you will find practical examples detailing how to implement Oracle Streams CDC in a production environment. What is Oracle Streams?

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Debezium Testing for CDC using Test Containers: 3 Easy Steps

Hevo

Debezium is a distributed, open-sourced platform for tracking real-time changes in databases. It is called an event streaming platform as it converts data changes on databases into events, and when such changes are accessed by different applications to process the information further.

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Redshift Incremental Load: 2 Easy Methods

Hevo

Data loading is a surmountable task for organizations all over the world. While several platforms make this task easier, several data loading issues surface regularly. Amazon’s Redshift is a popular choice for data loading in an organized manner. In this blog, you will learn how to perform Redshift Incremental Load.

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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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A Guide to Snowpark in Snowflake[+4 Tips to Get the Most Value from Snowpark]

Hevo

Traditionally, when working with Spark workloads, you would have to run separate processing clusters for different languages. Capacity management and resource sizing are also a hassle. Snowflake addressed these problems by providing native support for different languages. With consistent security, governance policies, and simplified capacity management, Snowflake pulls ahead as a great alternative to Spark.

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Understanding Google BigQuery ML: Simplified 101

Hevo

In this article, you will learn about Google BigQuery ML and its features. You will also read about different Machine Learning models supported in it. Introduction to Google BigQuery ML It is a new feature of Google BigQuery that is currently in the beta phase.

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dbt Redshift: Set Up & 3 Best Use Cases Explained

Hevo

ChatGPT has transformed the way businesses look at AI to support their functions. It has started showing its power by automating customer support and improving customer experience. dbt (data build tool) is just like that. You can create your own transformations with dbt using SQL SELECT statements.

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