Data Engineering Podcast

AUGUST 13, 2022

In this episode founder Shayan Mohanty explains how he and his team are bringing software best practices and automation to the world of machine learning data preparation and how it allows data engineers to be involved in the process. Data stacks are becoming more and more complex. That’s where our friends at Ascend.io

Machine Learning 100

Machine Learning Pipeline-centric Database-centric MongoDB 100

Cloudera

DECEMBER 13, 2023

Data was hidden in silos and line-of-business teams were using multiple data management and analytics tools, many of which were not used to their full capability. To realize this cohesive data vision, LGIM adopted Cloudera Data Platform (CDP) Public Cloud.

Pipeline-centric 89

Pipeline-centric Professional Services BI Datasets 89

Towards Data Science

MAY 19, 2023

Business users are unable to find and access data assets critical to their workflows. Data engineers spend countless hours troubleshooting broken pipelines. The data team is constantly burning out and has a high employee turnover. Stakeholders fail to see the ROI behind expensive data initiatives.

Pipeline-centric 104

Pipeline-centric Data Software Engineer Software Engineering 104

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 the role of a Data Engineer? Data scientists and data Analysts depend on data engineers to build these data pipelines.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Data Engineering Weekly

MARCH 3, 2024

Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. The article concludes with a look at data contracts as a concrete example of these principles in practice.

Data Engineering 67

Data Engineering Data Engineer Engineering Pipeline-centric 67

Monte Carlo

MARCH 28, 2024

In a nutshell, DataOps engineers are responsible not only for designing and building data pipelines, but iterating on them via automation and collaboration as well. But these figures are considerably higher than what the site lists for Data Specialists, and around $10,000 higher than the average salary of a Data Manager.

Engineering 75

Engineering Pipeline-centric BI Google Cloud 75

Ascend.io

MAY 7, 2024

” Key Partnership Benefits: Cost Optimization and Efficiency : The collaboration is poised to reduce IT and data management costs significantly, including an up to 68% reduction in data stack spend and the ability to build data pipelines 7.5x ABOUT ASCEND.IO Learn more at Ascend.io or follow us @ascend_io.

Pipeline-centric 52

Pipeline-centric Data Cleanse Data Security Data Pipeline 52

Ascend.io

OCTOBER 20, 2023

The Nuances of Snowflake Costing Snowflake’s pricing strategy is an exemplification of its user-centric approach: pay for what you use. The Predictability of Pipelines In stark contrast to ad-hoc queries, pipelines are where cost optimization efforts can yield significant dividends.

Pipeline-centric 52

Pipeline-centric IT Data Pipeline Bytes 52

Databand.ai

JULY 19, 2023

This feature is critical in today’s data-driven business environment, where data may originate from a variety of sources and undergo numerous transformations before reaching its final destination. Metadata Management Metadata, or ‘data about data’, is a crucial component of data management.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional responsible for designing, implementing, and managing data solutions using Microsoft's Azure cloud platform. They work with various Azure services and tools to build scalable, efficient, and reliable data pipelines, data storage solutions, and data processing systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

JUNE 20, 2023

Factors Data Engineer Machine Learning Definition Data engineers create, maintain, and optimize data infrastructure for data. In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily. Assess the needs and goals of the business.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

The Modern Data Company

DECEMBER 29, 2022

This means moving beyond product-centric thinking to a data-driven customer experience model that’s consistent across all channels. Next, the wealth management industry is also shifting away from a product focus to a client-centric model. DataOS is the world’s first operating system.

Banking 52

Banking Pipeline-centric Building Finance 52

The Modern Data Company

JULY 29, 2024

The limited reusability of data assets further exacerbates this agility challenge. Already operating at capacity, data teams often find themselves repeating efforts, rebuilding similar data pipelines and models for each new project. Source: “How to unlock the full value of data?

Data Architecture 52

Data Architecture Architecture Building Pipeline-centric 52

Ascend.io

JUNE 22, 2023

The reason is simple yet profound: the very essence of a data mesh is its alignment with business outcomes, and this alignment fundamentally influences the organizational structure of a company. The transition to a decentralized data ownership model presents a unique set of challenges.

Technology 52

Technology Pipeline-centric Consulting Data 52

Monte Carlo

JULY 15, 2024

For example, as a data owner in a retail company, your analysis of customer purchasing patterns could inform product development and marketing strategies. Career advancement: As organizations become more data-centric, your role as a data owner offers opportunities for career growth.

Pipeline-centric 52

Pipeline-centric Government Data Governance Retail 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. Traditionally we tried or still solving using MDM (Master Data Management) systems.

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

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

Monte Carlo

NOVEMBER 14, 2023

This is the world that data orchestration tools aim to create. Data orchestration tools minimize manual intervention by automating the movement of data within data pipelines. According to one Redditor on r/dataengineering, “Seems like 99/100 data engineering jobs mention Airflow.”

Pipeline-centric 40

Pipeline-centric Google Cloud Python Data Workflow 40

Ascend.io

NOVEMBER 14, 2023

Read More: Data Pipeline Automation: The What, How, and Why The Responsibilities of the CAIO Given the complex and multifaceted nature of AI, it is imperative for organizations to delineate clear responsibilities for this crucial role. The CAIO is the vanguard of data privacy and security for the new AI-based capabilities.

Pipeline-centric 52

Pipeline-centric Government Technology Recruitment 52

Knowledge Hut

SEPTEMBER 26, 2023

Microsoft Azure's Azure Synapse, formerly known as Azure SQL Data Warehouse, is a complete analytics offering. Designed to tackle the challenges of modern data management and analytics, Azure Synapse brings together the worlds of big data and data warehousing into a unified and seamlessly integrated platform.

Data Lake 52

Data Lake Database-centric Machine Learning Pipeline-centric 52

ProjectPro

DECEMBER 16, 2021

They need to know everything about the data and apply various mathematical and statistical tools to identify the most significant features using feature selection, feature engineering , feature transformation, etc. Both of them work with big data. The distinction between the two job roles may be hard to define in most cases.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

phData: Data Engineering

JULY 18, 2023

To truly understand its potential, we need to explore the benefits it brings, particularly when transitioning from traditional data management structures. Why Migrate to a Modern Data Stack? This typically results in long-running ETL pipelines that cause decisions to be made on stale or old data.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Knowledge Hut

JANUARY 30, 2024

Use Case Essential for data preprocessing and creating usable datasets. Types of data you can extract Data extraction is a fundamental process in the realm of data management and analysis, encompassing the retrieval of specific, relevant information from various sources.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

AltexSoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general.

Big Data 52

Big Data Data Process Process Hadoop 52

RandomTrees

NOVEMBER 29, 2023

Here if there arises a need to modify the data pipeline , nothing but the data flow from the source to the stage, there is the capability of monitoring the flow processes and other data hold through the governance systems. post which is the ML model trainings.

Data Warehouse 52

Data Warehouse Data Lake Database-centric Data Cleanse 52

Cloudera

NOVEMBER 21, 2024

As advanced analytics and AI continue to drive enterprise strategy, leaders are tasked with building flexible, resilient data pipelines that accelerate trusted insights. A New Level of Productivity with Remote Access The new Cloudera Data Engineering 1.23 Jupyter, PyCharm, and VS Code).

Pipeline-centric 85

Pipeline-centric Data Engineering Data Engineer Engineering 85

Precisely

JANUARY 6, 2025

Organizations leveraging real-time data can make faster, data-driven decisions, optimize processes, and accelerate time-to-market. Your ability to deliver seamless, personalized, and timely experiences is key to success in our modern customer-centric landscape. With seamless access to all relevant customer data.

Data Architecture 59

Data Architecture Architecture Pipeline-centric Banking 59