Monte Carlo

FEBRUARY 6, 2023

So, you’re planning a cloud data warehouse migration. But be warned, a warehouse migration isn’t for the faint of heart. As you probably already know if you’re reading this, a data warehouse migration is the process of moving data from one warehouse to another. A worthy quest to be sure.

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

Data Engineering Podcast

JULY 17, 2022

Summary There are extensive and valuable data sets that are available outside the bounds of your organization. Whether that data is public, paid, or scraped it requires investment and upkeep to acquire and integrate it with your systems. Atlan is the metadata hub for your data ecosystem.

Data Management 130

Data Management Management Metadata MongoDB 130

Data Engineering Weekly

MARCH 24, 2024

link] Kai Waehner: The Data Streaming Landscape 2024 This is a comprehensive overview of the state of the data streaming landscape in 2024. link] Mercado Libre Tech: Data Mesh @ MELI - Building Highways for Thousands of Data Producers Ok, Data Mesh is still alive!!

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Knowledge Hut

MARCH 13, 2024

Wondering what is a big data engineer? As the name suggests, Big Data is associated with ‘big’ data, which hints at something big in the context of data. Big data forms one of the pillars of data science. Big data has been a hot topic in the IT sector for quite a long time.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 13, 2024

Wondering what is a big data engineer? As the name suggests, Big Data is associated with ‘big’ data, which hints at something big in the context of data. Big data forms one of the pillars of data science. Big data has been a hot topic in the IT sector for quite a long time.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 30, 2023

The demand for experienced data engineers continuously expands in today's data-driven environment. Books on data engineering serve as essential resources to guide you through the vast terrain of data engineering. What is Data Engineering? Who are Data Engineers?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Data Engineering Weekly

NOVEMBER 5, 2023

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. The blog is a classic case study for data engineers who like to build SQL-like abstractions. Visit rudderstack.com to learn more.

Data Engineering 52

Data Engineering Data Engineer Engineering SQL 52

Data Engineering Weekly

APRIL 16, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make collecting data from every application, website, and SaaS platform easy, then activating it in your warehouse and business tools. 🍒 We'll send exclusive The Data Stack Show swag just for participating!

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Ascend.io

FEBRUARY 28, 2024

The rise of generative AI is changing more than just technology; it’s reshaping our professional landscapes — and yes, data engineering is directly experiencing the impact. How does AI recalibrate the workload and priorities of data teams? How can data engineers harness the power of AI?

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Data Engineering Weekly

DECEMBER 21, 2022

The Rise of Data Modeling Data modeling has been one of the hot topics in Data LinkedIn. Hadoop put forward the schema-on-read strategy that leads to the disruption of data modeling techniques as we know until then. Let’s reference what the data world looked like before the Hadoop era. Why is it so?

Data Engineering 57

Data Engineering Data Engineer Engineering Hadoop 57

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. Data Engineer certification will aid in scaling up you knowledge and learning of data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

NOVEMBER 17, 2023

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.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

FEBRUARY 16, 2023

The demand for skilled data engineers who can build, maintain, and optimize large data infrastructures does not seem to slow down any sooner. At the heart of these data engineering skills lies SQL that helps data engineers manage and manipulate large amounts of data.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Data Lake Management Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Knowledge Hut

SEPTEMBER 26, 2023

The demand for knowledgeable data engineers that can plan, create, and maintain sophisticated data infrastructure is growing as the amount of data created by enterprises continues to increase dramatically. The success of our career as an Azure Data Engineer depends on our ability to master several different talents.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Weekly

OCTOBER 30, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. The highlights are that 59% of folks think data catalogs are sometimes helpful.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

Knowledge Hut

OCTOBER 3, 2023

In today's world, data reigns supreme as the ultimate asset. Businesses can significantly improve their decision-making processes when they collect and analyze the right and relevant data. Within the Microsoft Azure ecosystem, the role of an Azure data engineer stands out as one of the most sought-after positions.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Data Engineering Podcast

SEPTEMBER 3, 2023

Summary Cloud data warehouses and the introduction of the ELT paradigm has led to the creation of multiple options for flexible data integration, with a roughly equal distribution of commercial and open source options. It’s the only true SQL streaming database built from the ground up to meet the needs of modern data products.

Data Integration 162

Data Integration BI SQL Python 162

Knowledge Hut

DECEMBER 28, 2023

Human society in 2023 is a digital world, and its fuel - its currency - is data. Today, organizations seek skilled professionals who can harness data’s power to drive informed decisions. As technology evolves, cloud platforms have emerged as the cornerstone of modern data management. Who is an Azure Data Engineer?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

FEBRUARY 19, 2023

Summary Cloud data warehouses have unlocked a massive amount of innovation and investment in data applications, but they are still inherently limiting. Because of their complete ownership of your data they constrain the possibilities of what data you can store and how it can be used. We feel your pain.

IT 147

IT Data Lake Metadata Data Warehouse 147

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Knowledge Hut

SEPTEMBER 25, 2023

This demonstrates how in-demand Microsoft Certified Data Engineers are becoming. They are moving their servers and on-premises data to Azure Cloud. What does all of this mean for Data Engineering professionals? Who is an Azure Data Engineer? Azure Data Engineers work with these and other solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Data Engineering Weekly

JUNE 29, 2023

But hey, I met my friends after a long time and got my copy of “ Fundamentals of Data Engineering ” signed by Joe Reis & Matt Housely. If you’re starting data engineering, I highly recommend reading it. Snowflake is a DataLake Platform Snowflake is moving beyond a SQL data warehouse.

Data Engineering 76

Data Engineering Data Engineer Google Cloud Engineering 76

Data Engineering Podcast

NOVEMBER 26, 2019

As they scaled the volume of customers and data they began running into the limitations of their initial architecture. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform.

Data Warehouse 100

Data Warehouse Building PostgreSQL Kafka 100

Data Engineering Podcast

NOVEMBER 6, 2022

Summary Despite the best efforts of data engineers, data is as messy as the real world. Entity resolution and fuzzy matching are powerful utilities for cleaning up data from disconnected sources, but it has typically required custom development and training machine learning models.

MongoDB 130

MongoDB Scala MySQL Data Lake 130

Knowledge Hut

JUNE 15, 2023

Data is, without a doubt, the king of all business domains these days. Every business unit, including marketing , production, and finance, uses data to make significant decisions and carry out its operations. That is why every organization works towards designing and building structures for proper data storage and analysis.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Data Engineering Podcast

AUGUST 3, 2021

Summary Data lake architectures have largely been biased toward batch processing workflows due to the volume of data that they are designed for. With more real-time requirements and the increasing use of streaming data there has been a struggle to merge fast, incremental updates with large, historical analysis.

Data Lake 130

Data Lake Data Warehouse Hadoop Architecture 130

ProjectPro

FEBRUARY 16, 2023

ETL is a critical component of success for most data engineering teams, and with teams harnessing it with the power of AWS, the stakes are higher than ever. Data Engineers and Data Scientists require efficient methods for managing large databases, which is why centralized data warehouses are in high demand.

AWS 52

AWS Data Management ETL Tools Management 52

Silectis

JANUARY 3, 2021

If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. Big Data Large volumes of structured or unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

FEBRUARY 27, 2023

A data engineer is a key member of an enterprise data analytics team and is responsible for handling, leading, optimizing, evaluating, and monitoring the acquisition, storage, and distribution of data across the enterprise. Data Engineers indulge in the whole data process, from data management to analysis.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Data Engineering Podcast

SEPTEMBER 3, 2018

Summary With the proliferation of data sources to give a more comprehensive view of the information critical to your business it is even more important to have a canonical view of the entities that you care about. Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science.

Data Management 100

Data Management Management Relational Database Business Intelligence 100

Data Engineering Podcast

DECEMBER 4, 2022

Summary The term "real-time data" brings with it a combination of excitement, uncertainty, and skepticism. In this episode Arjun Narayan explains how the technical barriers to adopting real-time data in your analytics and applications have become surmountable by organizations of all sizes.

Data Lake 100

Data Lake MongoDB MySQL Data Warehouse 100

Data Engineering Podcast

MAY 29, 2022

Summary The latest generation of data warehouse platforms have brought unprecedented operational simplicity and effectively infinite scale. In order to ensure that you can explore and analyze your data without spending money on inefficient queries Mingsheng Hong and Zheng Shao created Bluesky Data.

Cloud 100

Cloud Data Warehouse Data Lake Data 100

Knowledge Hut

MARCH 7, 2024

The year 2024 saw some enthralling changes in volume and variety of data across businesses worldwide. The surge in data generation is only going to continue. Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Knowledge Hut

JUNE 20, 2023

A novice data scientist prepared to start a rewarding journey may need clarification on the differences between a data scientist and a machine learning engineer. Many people are learning data science for the first time and need help comprehending the two job positions.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52