Data Engineering Podcast

OCTOBER 14, 2019

Summary Managing a data warehouse can be challenging, especially when trying to maintain a common set of patterns. They provide an AWS-native, serverless, data infrastructure that installs in your VPC. Datacoral helps data engineers build and manage the flow of data pipelines without having to manage any infrastructure.

Data Warehouse 100

Data Warehouse PostgreSQL AWS Programming Language 100

Cloudera

AUGUST 30, 2022

Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Towards Data Science ). Deploying modern data architectures. Forrester ).

Data Architecture 79

Data Architecture Architecture Data Lake NoSQL 79

Knowledge Hut

JULY 5, 2024

Large enterprises heavily rely on data for informed decision-making, and this reliance is where data engineers step in. Data engineers like myself play a pivotal role in assessing infrastructure and taking relevant actions. Looking ahead, the future of data engineering appears promising.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Cleanse 52

Knowledge Hut

MARCH 28, 2024

Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 All these numbers point to one thing–increased job roles and careers, especially when we talk about data engineering jobs in Azure, which are on the rise every year. Let’s get started.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Hevo

SEPTEMBER 17, 2024

Organizations have begun to built data warehouses and lakes to analyze large amounts of data for insights and business reports. Often time they bring data from multiple data silos into their data lake and also have data stored in particular data stores like NoSQL databases to support different use cases.

Data Architecture 40

Data Architecture Architecture NoSQL Data Lake 40

Data Engineering Podcast

JULY 8, 2019

Summary The market for data warehouse platforms is large and varied, with options for every use case. ClickHouse is an open source, column-oriented database engine built for interactive analytics with linear scalability. Coming up this fall is the combined events of Graphorum and the Data Architecture Summit.

Data Warehouse 100

Data Warehouse MySQL Hadoop Data Lake 100

Databand.ai

JUNE 28, 2023

Data Pipeline Observability: A Model For Data Engineers Eitan Chazbani June 29, 2023 Data pipeline observability is your ability to monitor and understand the state of a data pipeline at any time. We believe the world’s data pipelines need better data observability. To measure, but not track.

Data Pipeline 98

Data Pipeline Data Engineer Data Engineering Engineering 98

Monte Carlo

APRIL 16, 2022

The data warehouse is the foundation of the modern data stack, so it caught our attention when we saw Convoy head of data Chad Sanderson declare, “ the data warehouse is broken ” on LinkedIn. Treating data like an API. Immutable data warehouses have challenges too.

Data Warehouse 52

Data Warehouse Architecture Data Data Architect 52

Data Engineering Weekly

AUGUST 6, 2024

TL;DR Aswin and I are thrilled to announce the release of the first version of our comprehensive guide for evaluating Change Data Capture. Why CDC is More Relevant in Unified Data Architecture As we advance into the Gen AI era, Change Data Capture (CDC) systems are emerging as crucial components of the ever-evolving data architecture.

Data Lake 125

Data Lake Data Warehouse Database Data Architecture 125

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 Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 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 Engineer 52

Data Engineer Data Engineering Engineering Scala 52

Edureka

AUGUST 29, 2024

The responsibilities of a data engineer imply that the person in this role designs, creates, develops, and maintains systems and architecture that allow them to collect, store, and interpret data. What Does a Data Engineer Do? Why Choose Data Engineering as a Career?

Data Engineer 40

Data Engineer Data Engineering Engineering Generalist 40

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 Engineer 52

Data Engineer Data Engineering Engineering Generalist 52

Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Let us understand here the complete big data engineer roadmap to lead a successful Data Engineering Learning Path.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. Contents: What is the role of an Azure Data Engineer?

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Data Engineering Podcast

JUNE 17, 2023

By incorporating column-level lineage in the data modeling process it encourages a more robust and well-informed design. In this episode Satish Jayanthi explores the benefits of incorporating column-aware tooling in the data modeling process. RudderStack also supports real-time use cases.

Data Lake 130

Data Lake Machine Learning Metadata Data Architecture 130

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 Engineer 52

Data Engineer Data Engineering Engineering Metadata 52

Data Engineering Weekly

DECEMBER 11, 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. It's the year's end, so there is plenty of 2023 predictions in Data Engineering.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

Knowledge Hut

OCTOBER 3, 2023

Within the Microsoft Azure ecosystem, the role of an Azure data engineer stands out as one of the most sought-after positions. What Does an Azure Data Engineer Do? Azure Data engineers collaborate with Azure AI services built on top of Azure Cognitive Services APIs to offer end customers a variety of pre-built models.

Data Engineer 52

Data Engineer Data Engineering Engineering Cloud Computing 52

Towards Data Science

JANUARY 16, 2024

When I heard the words ‘decentralised data architecture’, I was left utterly confused at first! In my then limited experience as a Data Engineer, I had only come across centralised data architectures and they seemed to be working very well. Result: Data warehouse was born. So what was missing?

Data Warehouse 64

Data Warehouse Data Architecture Relational Database NoSQL 64

AltexSoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineer 98

Data Engineer Data Engineering Engineering Machine Learning 98

Data Engineering Weekly

JANUARY 15, 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. Take control of your customer data today.

Data Engineer 52

Data Engineer Data Engineering Engineering Metadata 52

RandomTrees

SEPTEMBER 27, 2024

Data Factory, Data Activator, Power BI, Synapse Real-Time Analytics, Synapse Data Engineering, Synapse Data Science, and Synapse Data Warehouse are some of them. With One Lake serving as a primary multi-cloud repository, Fabric is designed with an open, lake-centric architecture.

Database-centric 52

Database-centric Pipeline-centric IT BI 52

phData: Data Engineering

AUGUST 11, 2023

Data engineering in healthcare is taking a giant leap forward with rapid industrial development. However, data collection and analysis have been commonplace in the healthcare sector for ages. Data Engineering in day-to-day hospital administration can help with better decision-making and patient diagnosis/prognosis.

Healthcare 52

Healthcare Data Engineer Data Engineering Hospitality 52

Silectis

JANUARY 22, 2021

For those using a robust analytics database, such as the Snowflake® Data Cloud , adding the power of a data engineering platform can help maximize the value you’re getting out of that database. This is an important piece of a modern and reliable data architecture. Magpie can help.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 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 Query Google’s cloud data warehouse.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Monte Carlo

NOVEMBER 21, 2022

What’s next for the future of data engineering? Each year, we chat with one of our industry’s pioneering leaders about their predictions for the modern data stack – and share a few of our own. billion in four years, which underscores the terrific demand there is for cloud data warehouses.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Data Engineering Podcast

APRIL 3, 2022

Coalesce is a platform designed to reduce repetitive work for common workflows by adopting a visual pipeline builder to support your data warehouse transformations. In this episode Satish Jayanthi explains how he is building a framework to allow enterprises to move quickly while maintaining guardrails for data workflows.

Data Warehouse 100

Data Warehouse Data Workflow Data Architecture SQL 100

Snowflake

JANUARY 30, 2023

By running data warehouse and data engineering workloads on Snowflake’s Data Cloud Ramp improves performance and user experience, while delivering powerful insights to customers quickly. How do you scale seamlessly, without worrying about keeping the lights on?

Data Architecture 52

Data Architecture Architecture Management Datasets 52

Databand.ai

DECEMBER 13, 2022

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-13 10:23:19 Interested in data engineering? LinkedIn is full of influencers sharing new ideas and sparking conversations on all kinds of topics, and data engineering is no exception. You’ve come to the right place.

Data Engineer 52

Data Engineer Data Engineering Engineering AWS 52

phData: Data Engineering

NOVEMBER 8, 2024

Data Versioning and Time Travel Open Table Formats empower users with time travel capabilities, allowing them to access previous dataset versions. Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data.

Architecture 52

Architecture Systems Data Lake Google Cloud 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 Engineer Data Engineering Engineering 52

Data Engineering Podcast

JULY 3, 2022

She also discusses her views on the role of the data lakehouse as a building block for these architectures and the ongoing influence that it will have as the technology matures. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

Architecture 100

Architecture Metadata MongoDB MySQL 100

ProjectPro

JANUARY 19, 2022

Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52

Data Engineering Podcast

SEPTEMBER 23, 2018

This includes modeling the lifecycle of your information as a pipeline from the raw, messy, loosely structured records in your data lake, through a series of transformations and ultimately to your data warehouse. Can you walk through the stages of an ideal lifecycle for data within the context of an organizations uses for it?

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

Advancing Analytics: Data Engineering

JULY 2, 2019

The data engineer is an emerging role that’s rapidly growing in popularity… but what is it? The Data Science Engineer Let’s start with the original idea of the Data Engineer, the support of Data Science functions by providing clean data in a reliable, consistent manner, likely using big data technologies.

Business Intelligence 52

Business Intelligence Data Engineer Data Engineering Engineering 52

Data Engineering Podcast

OCTOBER 2, 2021

He also discusses the technical implementation that allows for such extreme performance and how the data model contributes to the scalability of the system. If you need to deal with massive data, at high velocities, in milliseconds, then Aerospike is definitely worth learning about.

Building 100

Building BI Data Architecture Architecture 100