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.

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Data Engineering Data Engineer Engineering Hadoop 98

U-Next

AUGUST 17, 2022

Data must be comprehensive and cohesive, and Data Engineers are best at this task with their set of skills. Skills Required To Be A Data Engineer. SQL – A database may be used to build data warehousing, combine it with other technologies, and analyze the data for commercial reasons with the help of strong SQL abilities.

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Data Engineering Data Engineer Database-centric Pipeline-centric 52

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

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

Snowflake

AUGUST 21, 2023

In this blog post, we’ll review the core data mesh principles, highlight how both organizations and modern data platforms are putting those principles into action, and demonstrate just how achievable a secure and efficient data mesh architecture can be. It’s also crucial that teams consider the price tag of the data mesh.

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Pipeline-centric Architecture Government Data Architect 52

Snowflake

JUNE 28, 2023

Snowpark is our secure deployment and processing of non-SQL code, consisting of two layers: Familiar Client Side Libraries – Snowpark brings deeply integrated, DataFrame-style programming and OSS compatible APIs to the languages data practitioners like to use. Previously, tasks could be executed as quickly as 1-minute.

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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.

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Knowledge Hut

SEPTEMBER 26, 2023

Azure provides the infrastructure and tools necessary to build, deploy, and manage applications and services efficiently. Key Features of Azure Synapse Here are some of the key features of Azure Synapse: Cloud Data Service: Azure Synapse operates as a cloud-native service, residing within the Microsoft Azure cloud ecosystem.

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Monte Carlo

JULY 28, 2022

But perhaps one of the most common reasons for data quality challenges are software feature updates and other changes made upstream by software engineers. These are particularly frustrating, because while they are breaking data pipelines constantly, it’s not their fault. What should that solution look like?

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Software Engineering Software Engineer Pipeline-centric Database-centric 52

phData: Data Engineering

JULY 18, 2023

Why Migrate to a Modern Data Stack? With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. The combination of these technologies has become collectively known as the Modern Data Stack.

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Data Warehouse Pipeline-centric Government Data 52

Edureka

JULY 4, 2024

Key Advantages of Azure Synapse No Code AI or Analytics Capabilities Azure Synapse takes a significant leap forward in democratizing data analytics and AI by offering robust no-code options. By letting you query data directly in the lake without the need for movement, Synapse cuts down the storage costs and eliminates data duplication.

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Databand.ai

DECEMBER 20, 2022

Read on for the top 25 data analytics and science connections on LinkedIn so you can easily find the information you’re looking for and fill your homepage with meaningful content. On LinkedIn, he posts frequently about data engineering, data architecture, interview preparation, and career advice.

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Data Analytics Google Cloud Data Science Data Mining 52

AltexSoft

JULY 18, 2023

With its native support for in-memory distributed processing and fault tolerance, Spark empowers users to build complex, multi-stage data pipelines with relative ease and efficiency. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. Directed Acyclic Graph (DAG).

Big Data 52

Big Data Data Process Process Hadoop 52

Monte Carlo

NOVEMBER 10, 2022

That means you have more API integrations and data pipelines that can fail. Often, by the time most marketing teams realize that their knight (the CDP) is a legacy data silo dressed in rusty armor, it’s too late. My guess is that their death will not be quick, but an agonizing slow descent into the oblivion of legacy technology.

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Data Warehouse Pipeline-centric Data Cloud Computing 52

Precisely

JANUARY 6, 2025

Customers expect immediate responses and personalized interactions, and streaming data architectures help you meet these expectations. Integrated and scalable architectures drive business agility. Your ability to deliver seamless, personalized, and timely experiences is key to success in our modern customer-centric landscape.

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Data Architecture Architecture Pipeline-centric Banking 59

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). Ready to Explore?

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