Cloudera

JULY 13, 2021

After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. . CDP data lifecycle integration and SDX security and governance. Key features of CDP Data Engineering.

Data Engineering 126

Data Engineering Data Engineer Engineering Pipeline-centric 126

Monte Carlo

MAY 30, 2024

Generative AI has the potential to transform your business and your data engineering team, but only when it’s done right. So how can your data team actually drive value with your LLM or GenAI initiative? Data retrieval: Based on the query, the RAG system searches the database to find relevant data. What is Fine Tuning?

Pipeline-centric 52

Pipeline-centric Database-centric Datasets Data Pipeline 52

Data Engineering Podcast

AUGUST 13, 2022

Summary Data engineers have typically left the process of data labeling to data scientists or other roles because of its nature as a manual and process heavy undertaking, focusing instead on building automation and repeatable systems. Data stacks are becoming more and more complex. Sifflet also offers a 2-week free trial.

Machine Learning 100

Machine Learning Pipeline-centric Database-centric MongoDB 100

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.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

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 2, 2023

For those aspiring to build a career within the Azure ecosystem, navigating the choices between Azure Data Engineers and Azure DevOps Engineers can be quite challenging. Azure Data Engineers and Azure DevOps Engineers are two critical components of the Azure ecosystem for different but interconnected reasons.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

François Nguyen

MARCH 22, 2021

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. How do we build data products ? How can we interoperate between the data domains ?

Technology 130

Technology Architecture Google Cloud Metadata 130

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

Cloudera

DECEMBER 13, 2023

Implementing a cohesive data vision LGIM’s Global Chief Operating Office is responsible for the company’s technology, data, client servicing and the management of its strategic operating agenda. LGIM’s data ecosystem had become fragmented over time as it had grown.

Pipeline-centric 88

Pipeline-centric Professional Services Datasets BI 88

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

Cloudera

NOVEMBER 15, 2021

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. Quantifications of data. Quantifications of data. So data is big and growing. And data moves around.

Unstructured Data 89

Unstructured Data Pipeline-centric Database-centric Entertainment 89

Data Engineering Weekly

APRIL 2, 2023

Contribute to the Rudderstack Transformations Library, Win $1000 RudderStack Transformations lets you customize event data in real-time with your own JavaScript or Python code. Meta: Presto - A Decade of SQL Analytics at Meta Presto and Kafka are the two systems that greatly impacted data infrastructure in the last decade.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Ascend.io

JUNE 21, 2023

Creating business value from the onslaught of data can feel like captaining a high-tech vessel through uncharted waters. Data teams across business areas are cranking out data sets in response to impatient business requests, while simultaneously trying to build disparate DataOps processes from scratch.

Pipeline-centric 52

Pipeline-centric Data Pipeline Metadata Data 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

Snowflake

AUGUST 21, 2023

With demonstrable success across a range of industries, organizations are increasingly pursuing cutting-edge data mesh architectures to enhance self-service data use. Data-as-a-product: By considering data resources through a product lens, teams can adopt practices centered around quality and ease of use.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

The Modern Data Company

DECEMBER 29, 2022

And much of this involves finally harnessing data and new technologies to the fullest potential. Many of Deloitte’s Predictions Will Require Access to Real-time Data Analysis The report lists several areas where consumer demand will shift banking products. The report mentions several key areas ripe for a data revolution.

Banking 52

Banking Pipeline-centric Building Finance 52

Snowflake

DECEMBER 19, 2023

The best marketing is truly data-driven, creating powerful product promotions and offers through an understanding of customer needs and preferences. than reading data insights from a beautiful dashboard. It’s a potentially cumbersome and time-consuming process that too often requires moving or sharing access to sensitive customer data.

Building 81

Building Pipeline-centric Database-centric Digital Media 81

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

The Pragmatic Engineer

JANUARY 5, 2023

The first response has been frustration because of the chaos a breach like this causes: At a scaleup I talked with, infrastructure teams shut down all pipelines in order to replace secrets. Our customers are some of the most innovative, engineering-centric businesses on the planet, and helping them do great work will continue to be our focus.”

Pipeline-centric 130

Pipeline-centric Database-centric Coding Accessible 130

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

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

Monte Carlo

AUGUST 2, 2022

Initial thoughts on our data team’s data mesh implementation plan and moving toward the four data mesh principles of domain data ownership, data as a product, self-service, and federated governance.

Pipeline-centric 52

Pipeline-centric Government Finance Data 52

Snowflake

JUNE 28, 2023

At Snowflake, we’re helping data scientists, data engineers, and application developers build faster and more efficiently in the Data Cloud. To make it even easier to process data with Snowpark Python UDFs and Stored Procedures, we have added support for Python 3.9 and unstructured data support, now in public preview.

Pipeline-centric 56

Pipeline-centric Programming Language Python Government 56

DoorDash Engineering

NOVEMBER 28, 2023

DoorDash has been building an internal Machine Learning Workbench over the past year to enhance data operations and assist our data scientists, analysts, and AI/ML engineers. As shown in Figure 1, data science intersects ML in multiple ways and is paramount to DoorDash’s success.

Machine Learning 90

Machine Learning Pipeline-centric Data Science Designing 90

Ascend.io

SEPTEMBER 14, 2023

The rise of data-intensive operations has positioned data engineering at the core of today’s organizations. As the demand to efficiently collect, process, and store data increases, data engineers have started to rely on Python to meet this escalating demand. Why Python for Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Python Engineering 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

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 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

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

Pinterest Engineering

SEPTEMBER 20, 2023

Signal Development and Indexing The process of developing our visual body type signal essentially begins with data collection. These external partnerships along with our internal fashion specialists and labellers were fundamental in helping us design the experience from both a technical and human-centric perspective.

Building 89

Building Pipeline-centric Machine Learning Datasets 89

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

Knowledge Hut

JULY 3, 2023

In today's fast-paced and data-driven world, users increasingly depend on real-time intuition to get an aggressive side and define a plan of action. This is where real-time data ingestion comes into the picture. Data is collected from various sources such as social media feeds, website interactions, log files and processing.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 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

Knowledge Hut

MARCH 19, 2024

Separates coding from the rest of the delivery pipeline: With a distinct dev environment, engineers can focus solely on writing good, functioning code rather than deployment mechanics or ops concerns. Prevents new bugs from impacting testing/production: Low quality code can cause system failures or data issues.

Pipeline-centric 52

Pipeline-centric Database-centric Software Engineer Software Engineering 52

Lyft Engineering

APRIL 3, 2023

Specifically, Lyft’s in-house distributed hyperparameter optimization pipeline is used for the majority of its business critical models. That said, in 2020, Lyft moved towards a more user centric approach — preselecting a user’s most frequently used mode. Check out more exciting blogs in Lyft Data Science.

Systems 87

Systems Pipeline-centric Machine Learning Transportation 87

Knowledge Hut

FEBRUARY 6, 2024

Therefore, the DevOps approach emphasizes starting with intuition and gaining lessons along the way to make data-driven decisions. To deliver software more quickly and frequently, speed up your development pipeline. It consists of two pipelines: a CI pipeline and a continuous testing pipeline.

Pipeline-centric 52

Pipeline-centric Database-centric Coding Consulting 52

Maxime Beauchemin

JANUARY 20, 2017

By the time I left in 2013, I was a data engineer. We were data engineers! Data Engineering? Data science as a discipline was going through its adolescence of self-affirming and defining itself. At the same time, data engineering was the slightly younger sibling, but it was going through something similar.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130