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. Data Engineers are engineers responsible for uncovering trends in data sets and building algorithms and data pipelines to make raw data beneficial for the organization.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

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. Learn how to process and analyze large datasets efficiently.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Grouparoo

OCTOBER 6, 2021

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. 7 Be Intentional About the Batching Model in Your Data Pipelines Different batching models. Test system with A/A test.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

SEPTEMBER 26, 2023

This cloud-centric approach ensures scalability, flexibility, and cost-efficiency for your data workloads. Whether your data is structured, like traditional relational databases, or unstructured, such as textual data, images, or log files, Azure Synapse can manage it effectively.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Knowledge Hut

JANUARY 30, 2024

Customer Interaction Data: In customer-centric industries, extracting data from customer interactions (e.g., Apache Sqoop: Efficiently transfers bulk data between Hadoop and structured data stores like relational databases, simplifying the process of importing and exporting data.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? scalability.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Confluent

SEPTEMBER 25, 2019

Of course, this is not to imply that companies will become only software (there are still plenty of people in even the most software-centric companies), just that the full scope of the business is captured in an integrated software defined process. Here, the bank loan business division has essentially become software.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56