Knowledge Hut

MARCH 28, 2024

Job Role 1: Azure Data Engineer Azure Data Engineers develop, deploy, and manage data solutions with Microsoft Azure data services. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Monte Carlo

MAY 14, 2024

As organizations seek greater value from their data, data architectures are evolving to meet the demand — and table formats are no exception. It was designed to support high-volume data exchange and compatibility across different system versions, which is essential for streaming architectures such as Apache Kafka.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

AltexSoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake. Data lake architecture example.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Knowledge Hut

MARCH 22, 2024

An Amazon Web Services (AWS) Solution Architect designs and deploys scalable, reliable, and secure applications on AWS. Through collaboration, we provide cloud-based solutions based on AWS services like EC2, S3, and RDS and perform architecture design, performance optimization, and cost efficiency analysis.

AWS 52

AWS Amazon Web Services Cloud Computing Google Cloud 52

Data Engineering Weekly

MARCH 3, 2024

The migration enhanced data quality, lineage visibility, performance improvements, cost reductions, and better reliability and scalability, setting a robust foundation for future expansions and onboarding. Part 1: Why did we need to build our own SIEM?

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Knowledge Hut

SEPTEMBER 26, 2023

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. Microsoft Azure's Azure Synapse, formerly known as Azure SQL Data Warehouse, is a complete analytics offering. What is Azure Synapse?

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Knowledge Hut

NOVEMBER 17, 2023

In the post, we will investigate how to become an Azure data engineer, the skills required, the roles and responsibilities of an Azure data engineer, and much more. Who is an Azure Data Engineer? This involves knowing how to manage data partitions, load data into a data warehouse, and speed up query execution.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

NOVEMBER 28, 2023

This increased the data generation and the need for proper data storage requirements. A data architect is concerned with designing, creating, deploying, and managing a business entity's data architecture. You must possess top in-demand data science skills that always keep you job-ready.

Data Architect 52

Data Architect Data Science Certification Big Data 52

Knowledge Hut

DECEMBER 28, 2023

Imagine having a framework capable of handling large amounts of data with reliability, scalability, and cost-effectiveness. It is designed to handle errors and issues efficiently, making it suitable for local computing and storage. Hadoop can store data and run applications on cost-effective hardware clusters.

Hadoop 52

Hadoop Project Datasets Big Data 52

Cloudera

AUGUST 9, 2022

Customers, especially those in regulated industries with strict data protection and compliance requirements, routinely ask a straightforward question of our technical strategy experts: what should I do if a catastrophe hits my business and threatens to take out my data platform? The CDP Disaster Recovery Reference Architecture.

Data Lake 77

Data Lake Data Warehouse Architecture Data Ingestion 77

Knowledge Hut

MARCH 13, 2024

While working as a big data engineer, there are some roles and responsibilities one has to do: Designing large data systems starts with designing a capable system that can handle large workloads. Develop the algorithms: Once the database is ready, the next thing is to analyze the data to obtain valuable insights.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 13, 2024

While working as a big data engineer, there are some roles and responsibilities one has to do: Designing large data systems starts with designing a capable system that can handle large workloads. Develop the algorithms: Once the database is ready, the next thing is to analyze the data to obtain valuable insights.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 20, 2024

Speaking from experience, the data engineers in this role are right in the thick of it all. From start to finish, Azure data engineer roles and responsibilities revolve around designing, implementing, and managing data solutions specifically tailored for the Azure platform. Who is Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Knowledge Hut

MARCH 15, 2024

Speaking from experience, the data engineers in this role are right in the thick of it all. From start to finish, Azure data engineer roles and responsibilities revolve around designing, implementing, and managing data solutions specifically tailored for the Azure platform. Who is Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Monte Carlo

APRIL 27, 2023

Empowered by the rise of the modern data stack , leading companies like Warner Music Group , Chime and Petsmart are now turning to the Composable CDP to unlock a modular customer data architecture that centers on the cloud data warehouse. Teams typically turn to dbt for data transformation and modeling needs.

Data Warehouse 72

Data Warehouse Data Collection Architecture Data Storage 72

Knowledge Hut

DECEMBER 21, 2023

The primary process comprises gathering data from multiple sources, storing it in a database to handle vast quantities of information, cleaning it for further use and presenting it in a comprehensible manner. Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language).

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

AltexSoft

MAY 12, 2023

Data ingestion tools are software applications or services designed to collect, import, and process data from various sources into a central data storage system or repository. Once the unstructured data has been collected, the next step is to store and process this data effectively.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

JUNE 23, 2023

Go for the best courses for Data Engineering and polish your big data engineer skills to take up the following responsibilities: You should have a systematic approach to creating and working on various data architectures necessary for storing, processing, and analyzing large amounts of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

OCTOBER 3, 2023

The task of integrating, manipulating, and merging data from diverse structured and unstructured sources into a structure utilized to build analytics solutions falls within the purview of an Azure Data Engineer, a highly qualified specialist. How Can I Prepare for the Azure Data Engineer Certification Exam?

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 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. As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Netflix Tech

MARCH 14, 2023

Specifically, we will dive into the architecture that powers search capabilities for studio applications at Netflix. Dawn Chenette , Design Lead This approach had several benefits for product engineering. It allowed us to transparently update the algo data without users knowing about it. Incredible!”

Media 116

Media Building Algorithm Machine Learning 116

Databand.ai

JUNE 28, 2023

Most were designed for the best-case scenario. They’re betting their business on it and that the data pipelines that run it will continue to work. Context is crucial (and often lacking) A major cause of data quality issues and pipeline failures are transformations within those pipelines. You know what comes out.

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 98

Monte Carlo

APRIL 4, 2023

Today, when a data professional uses the term “data warehouse” they are likely referring to these cloud solutions that feature architectures with separate compute query engine and data storage. Unlike data warehouses and data lakes, the data mesh decentralizes data ownership.

Data Warehouse 52

Data Warehouse Data Governance Data Architecture 52

ProjectPro

NOVEMBER 7, 2016

Understanding the Hadoop architecture now gets easier! This blog will give you an indepth insight into the architecture of hadoop and its major components- HDFS, YARN, and MapReduce. We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing.

Hadoop 40

Hadoop Architecture IT Big Data 40

Knowledge Hut

NOVEMBER 28, 2023

With a plethora of new technology tools on the market, data engineers should update their skill set with continuous learning and data engineer certification programs. What do Data Engineers Do? Data engineers need to work with large amounts of data and maintain the architectures used in various data science projects.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

NOVEMBER 17, 2023

Their job entails Azure data engineer skills like using big data, databases, data lakes, and analytics to help firms make efficient data-driven decisions. The DP 203 syllabus is designed by incorporating real-world business case studies and activities, you can make sure that your abilities are applicable to the workplace.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

JUNE 30, 2023

This article suggests the top eight data engineer books ranging from beginner-friendly manuals to in-depth technical references. What is Data Engineering? This comprehensive program provides thorough instruction in data engineering ideas, tools, and best practices. Who are Data Engineers?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

JANUARY 19, 2022

An Azure Data Engineer is a highly qualified expert responsible for integrating, transforming, and merging data from various structured and unstructured sources into a structure used to construct analytics solutions. Data engineers will be in high demand as long as there is data to process. According to the 2020 U.S.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 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?

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

Monte Carlo

AUGUST 31, 2023

Data pipelines can handle both batch and streaming data, and at a high-level, the methods for measuring data quality for either type of asset are much the same. What is a decentralized data architecture? These shifts are all contributors to this heightened attention to data quality.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

AltexSoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. What is Apache Spark?

Big Data 52

Big Data Data Process Process Hadoop 52

Knowledge Hut

SEPTEMBER 6, 2023

What Are Database Certifications Database certifications are invaluable credentials for professionals working within database environments as they validate one's proficiency in specific databases, which are akin to specialized tools designed for storing and retrieving critical information. Skills acquired : Core data concepts.

Database 52

Database Certification MongoDB MySQL 52

Snowflake

APRIL 5, 2023

Traditionally, the dimensional data modeling approach is used to build complex data warehouses, while Data Vaults are used in data warehouses to offer long-term historical data storage while modeling. Why is data modeling important for a data warehouse?

Data Warehouse 52

Data Warehouse Healthcare Unstructured Data Metadata 52

ProjectPro

SEPTEMBER 26, 2021

Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. A Big Data Engineer also constructs, tests, and maintains the Big Data architecture.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

U-Next

AUGUST 10, 2022

Develop your data architecture: They design, develop, and manage data structures systematically, even while maintaining them in line with business needs. Automate Workflows: Data Engineers go into the data to identify processes that may be automated to remove manual involvement. In most cases, a Ph.D.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Science 52

Knowledge Hut

SEPTEMBER 29, 2023

By combining data from various structured and unstructured data systems into structures, Microsoft Azure Data Engineers will be able to create analytics solutions. Why Should You Get an Azure Data Engineer Certification? Then, you can create analytical layer serving designs.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Monte Carlo

JULY 30, 2020

In the age of self-service business intelligence , nearly every company considers themselves a data-first company, but not every company is treating their data architecture with the level of democratization and scalability it deserves. Your company, for one, views data as a driver of innovation. What is a data mesh?

IT 45

IT Data Lake Business Intelligence Data Architecture 45