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?

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Certification Data Engineering Data Engineer Engineering 52

Christophe Blefari

APRIL 21, 2023

Analytics engineering future This week Tristan Handy—dbt Labs CEO—wrote a post about the future of analytics engineering: The next big step forwards for analytics engineering. A lot of data teams embraced dbt, or at least the SQL with engineering practices to transform data in cloud data warehouses.

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Raw Data Data Datasets SQL 130

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

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.

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Data Engineering Data Engineer Database-centric Pipeline-centric 52

Cloud Academy

JANUARY 27, 2022

Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. The data then gets prepared in formats to be used by people such as business analysts, data analysts, and data scientists. What does a data engineer do?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Hepta Analytics

FEBRUARY 14, 2022

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. We already had a script that downloaded a csv file, processed the data and pushed the data to postgres database. This week, we got to think about our data ingestion design. It is called Idempotency.

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Data Ingestion Data Engineering Data Engineer Engineering 52

Analytics Vidhya

FEBRUARY 25, 2023

Introduction A data lake is a centralized and scalable repository storing structured and unstructured data. The need for a data lake arises from the growing volume, variety, and velocity of data companies need to manage and analyze.

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ProjectPro

JANUARY 19, 2022

Data Engineering is gradually becoming a popular career option for young enthusiasts. Explore this page further and learn everything about data engineers to find the answer. We will cover it all, from its definition, skills, responsibilities to the significance of data engineer in an institution.

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Data Engineering Data Engineer Engineering Amazon Web Services 52

Data Engineering Podcast

DECEMBER 11, 2021

In order to make it easier for developers to build customer profiles in a way that respects their privacy Serge Huber helped to create the Apache Unomi framework as an open source customer data platform. Missing data? Start trusting your data with Monte Carlo today! Struggling with broken pipelines? Stale dashboards?

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Data Warehouse Raw Data Data Lake BI 100

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. vs. What does a Data Engineer do? Are you a Data Scientist or a Data Engineer? Is data engineering more important than data science?

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Data Engineering Data Engineer Engineering Amazon Web Services 52

DataKitchen

AUGUST 19, 2021

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Below is a discussion of a data mesh implementation in the pharmaceutical space.

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Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. This article revisits the foundational elements of ELT, exploring what it is, how it reshaped data strategies, and how it works.

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Raw Data Data Warehouse Data Cleanse Data Integration 52

Ascend.io

AUGUST 31, 2023

In the dynamic world of data, many professionals are still fixated on traditional patterns of data warehousing and ETL, even while their organizations are migrating to the cloud and adopting cloud-native data services. Modern platforms like Redshift , Snowflake , and BigQuery have elevated the data warehouse model.

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Data Lake ETL Tools Data Warehouse Data Pipeline 52

Towards Data Science

MAY 3, 2023

Data Engineering Learn about slow change dimensions (SCD) and how to implement SCD Type 2 in VDK Photo by Joshua Sortino on Unsplash Data is the backbone of any organization, and in today’s fast-paced world, it is crucial to keep track of its versions. They store and manage current and historical data in a data warehouse.

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Data Lake Data SQL Data Warehouse 87

Workfall

JULY 4, 2023

Reading Time: 8 minutes In the world of data engineering, a mighty tool called DBT (Data Build Tool) comes to the rescue of modern data workflows. Imagine a team of skilled data engineers on an exciting quest to transform raw data into a treasure trove of insights.

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Data Warehouse SQL PostgreSQL Database 69

Knowledge Hut

JANUARY 29, 2024

In today's data-driven world, where information reigns supreme, businesses rely on data to guide their decisions and strategies. However, the sheer volume and complexity of raw data from various sources can often resemble a chaotic jigsaw puzzle. What Is Data Wrangling? Why Is Data Wrangling Important?

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Raw Data Data Mining Data Preparation Structured Data 52

Snowflake

APRIL 5, 2023

Two different data modeling approaches—dimensional data modeling and Data Vault—each have their own pros and cons. Modernizing a data warehouse with Snowflake Data Cloud is a smart investment that can provide significant benefits to businesses of all sizes, today more than ever as data models become ever more complex.

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Data Warehouse Healthcare Unstructured Data Metadata 52

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

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Manufacturing Data Warehouse Kafka Retail 109

Ascend.io

JANUARY 2, 2024

Getting your hands on the right data at the right time is the lifeblood of any forward-thinking company. But let’s be honest, creating effective, robust, and reliable data pipelines, the ones that feed your company’s reporting and analytics, is no walk in the park. What Is a Data Pipeline? But our journey doesn’t end there.

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AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

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Data Lake Architecture IT Amazon Web Services 52

Data Engineering Podcast

DECEMBER 16, 2019

The solution to discoverability and tracking of data lineage is to incorporate a metadata repository into your data platform. The metadata repository serves as a data catalog and a means of reporting on the health and status of your datasets when it is properly integrated into the rest of your tools.

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Metadata PostgreSQL Datasets Data Warehouse 100

Hevo

MARCH 31, 2023

dbt is a data transformation tool used by data engineers to process raw data within data warehouses. While dbt is a robust tool for transformation, you should be aware of the dbt commands to harness the power of dbt. Mastering dbt commands will let you run complex asks on dbt projects.

Raw Data 52

Raw Data Data Warehouse Data Engineering Data Engineer 52

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.

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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

Cloud Academy

JUNE 7, 2022

How Do We Transform and Model Data at Cloud Academy? “Data is the new gold”: a common phrase over the last few years. For all organizations, data and information have become crucial to making good decisions for the future and having a clear understanding of how they’re making progress — or otherwise.

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Cloud Data Warehouse Raw Data Business Intelligence 52

Workfall

SEPTEMBER 18, 2023

Reading Time: 9 minutes Imagine your data as pieces of a complex puzzle scattered across different platforms and formats. This is where the power of data integration comes into play. Meet Airbyte, the data magician that turns integration complexities into child’s play. In this blog, we will cover: What is Airbyte?

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Data Pipeline Raw Data Data Schemas Healthcare 93

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

Monte Carlo

APRIL 24, 2023

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption.

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Data Lake Google Cloud Data Warehouse AWS 52

DareData

JULY 5, 2023

Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals. In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently.

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Data Lake Building Raw Data ETL Tools 52

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases. What is a Big Data Pipeline?

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Data Pipeline Architecture Kafka AWS 52

Knowledge Hut

DECEMBER 29, 2023

The market for analytics is flourishing, as is the usage of the phrase Data Science. Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.

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Data Science Data Mining Deep Learning Programming Language 98

Monte Carlo

JULY 27, 2023

It’s not enough for data teams to be magicians transforming raw data into business value, they need to be responsible (and cost conscious) stewards as well. Unfortunately, data optimization is far from an exact science. When it comes to data optimization, you must weigh the tradeoffs.

Data 52

Data Architecture Data Warehouse Data Engineering 52

Knowledge Hut

NOVEMBER 28, 2023

As today's world is inclining toward digital space, data is generated each second. This is good news for companies and business entities as this data will be extremely useful in decision-making and improving customer satisfaction. As they say, data is the new wave of the 21st century. Who is a Data Architect?

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Data Architect Data Science Certification Big Data 52

Grouparoo

JANUARY 26, 2022

Data stack pyramid I have talked to hundreds of companies investing in their data infrastructure. With the explosion of interest in improved data stacks, companies have been working their way up through these stages. At Grouparoo, we are also seeing an uptick in requests for Clickhouse, an open source data warehouse.

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Data Warehouse Food ETL Tools Raw Data 52

Workfall

AUGUST 14, 2023

Reading Time: 7 minutes In today’s data-driven world, efficient data pipelines have become the backbone of successful organizations. These pipelines ensure that data flows smoothly from various sources to its intended destinations, enabling businesses to make informed decisions and gain valuable insights. What is Airflow?

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Data Pipeline Raw Data Data Database 62

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. But what happens when the data is wrong? What about a frantic email from your CTO about “duplicate data” in a business intelligence dashboard? The root of data downtime?

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Data Lake Data Pipeline Unstructured Data Data Warehouse 52