Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the need for Data Science?

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Data Engineering Data Engineer Engineering Pipeline-centric 98

Monte Carlo

MARCH 28, 2024

In recent years, we’ve seen all sorts of new job titles emerge that would have been inscrutable just a decade or two ago – cloud architect, data reliability engineer , data product manager , director of hybrid working, and yes, DataOps engineer. So what exactly IS a DataOps engineer? What does a DataOps engineer do? It depends!

Pipeline-centric 75

Pipeline-centric Engineering BI Google Cloud 75

Data Engineering Weekly

JULY 2, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork, and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. So, let's shape the future of Data Engineering together. See how it works today.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 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. Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Pipeline Data Engineering

MARCH 2, 2022

Data engineering salon. News and interesting reads about the world of data. The Unbundling of Airflow Gorkem Yurtseven, Co-Founder, Features and Labels A diverse set of tools is unbundling Airflow and this diversity is causing substantial fragmentation in modern data stack. What the hell happened?

Pipeline-centric 52

Pipeline-centric BI Consulting Data Warehouse 52

Ascend.io

OCTOBER 20, 2023

Snowflake has swiftly risen to prominence in the data world, and its consumption-based pricing model is well-known among data professionals. The Nuances of Snowflake Costing Snowflake’s pricing strategy is an exemplification of its user-centric approach: pay for what you use. So Why Do Snowflake Costs Become Prohibitive?

Pipeline-centric 52

Pipeline-centric IT Data Pipeline Bytes 52

Databand.ai

JULY 19, 2023

Data Lineage Tools: Key Capabilities and 5 Notable Solutions Ryan Yackel July 19, 2023 What Are Data Lineage Tools? Data lineage tools provide a visual representation of your data’s journey across multiple systems and transformations. Data lineage tools are not a new concept.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

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. Facial reorganization, social media optimization, etc.

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Machine Learning Data Engineering Data Engineer Engineering 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

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

phData: Data Engineering

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Grouparoo

OCTOBER 6, 2021

It was a fun experience and I think we made a good choice by picking 97 Things Every Data Engineer Should Know. This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

RandomTrees

NOVEMBER 29, 2023

Here the practice of data warehousing and warehouse system is very important and the use of right modelling techniques has become a very important factor in todays’ competitive world. In this choice, Big Data will play an important role and its choice is also inevitably crucial in the Business Intelligence and related systems.

Data Warehouse 52

Data Warehouse Data Lake Database-centric Data Cleanse 52

Monte Carlo

NOVEMBER 10, 2022

Their customer and prospect data was in the CRM, but the way they spliced and diced their audiences varied based on the communication method and tool. Cookies unfortunately also enabled more nefarious actors to capture and share customer data that didn’t have consumers’ best interests in mind. If only it was that simple.

Pipeline-centric 52

Pipeline-centric Data Warehouse Data Data Ingestion 52

Data Engineering Weekly

JANUARY 8, 2023

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. Pipelines for data in motion can quickly turn into DAG hell.

Data Engineering 40

Data Engineering Data Engineer Engineering Pipeline-centric 40

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Process 98

Process Data Process Pharmaceutical Data Lake 98

Dataquest

JANUARY 25, 2017

From helping cars drive themselves to helping Facebook tag you in photos , data science has attracted a lot of buzz recently. Data scientists have become extremely sought after , and for good reason — a skilled data scientist can add incredible value to a business. But what about data engineers?

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

Knowledge Hut

JANUARY 30, 2024

In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

DataKitchen

AUGUST 27, 2021

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data.

Pharmaceutical 98

Pharmaceutical Pipeline-centric Data Lake Data Analytics 98

Monte Carlo

DECEMBER 7, 2022

We sat down with Rob Parker, Senior Director of Data & Analytics, to understand how he applies this concept to his work building and scaling GitLab’s data platform with collaboration, scalability, and trust in mind. Rob was amazingly candid in sharing how his data team tackles complex problems at GitLab.

Building 52

Building Pipeline-centric Data Data Programming 52

Knowledge Hut

SEPTEMBER 26, 2023

Organisations are constantly looking for robust and effective platforms to manage and derive value from their data in the constantly changing landscape of data analytics and processing. These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Databand.ai

DECEMBER 20, 2022

The Top Data Analytics and Science Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-20 11:06:32 If you’re looking to brush up on all things data analytics and science, then LinkedIn certainly has no shortage of content. Fortunately for you, we’ve done the hard work for you.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

Confluent

SEPTEMBER 25, 2019

Of course, this is not to imply that companies will become only software (there are still plenty of people in even the most software-centric companies), just that the full scope of the business is captured in an integrated software defined process. Here, the bank loan business division has essentially become software.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56