Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Manufacturing 105

Manufacturing Data Warehouse Kafka Retail 105

Knowledge Hut

JUNE 30, 2023

Books on data engineering serve as essential resources to guide you through the vast terrain of data engineering. The best books on data engineering will provide you with a solid foundation and help you acquire the skills you need to flourish in data engineering. Who are Data Engineers?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

FEBRUARY 21, 2023

Whether you are just starting your career as a Data Engineer or looking to take the next step, this blog will walk you through the most valuable data engineering certifications and help you make an informed decision about which one to pursue. Don’t worry! Why Are Data Engineering Skills In Demand?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 26, 2023

Companies from startups to the Fortune 500s are looking out for the best and brightest individuals to fill up the role of Data engineers beating out data scientists, cybersecurity analysts, and web developers. However, several questions may arise for an individual. What is Data Science? And many more. Data Modeling using multiple algorithms.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

AltexSoft

OCTOBER 21, 2022

Kafka can continue the list of brand names that became generic terms for the entire type of technology. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka? How Apache Kafka streams relate to Franz Kafka’s books. What Kafka is used for.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

AltexSoft

NOVEMBER 7, 2022

An example of the workflow in the form of a directed acyclic graph or DAG. DevOps tasks — for example, creating scheduled backups and restoring data from them. DevOps tasks — for example, creating scheduled backups and restoring data from them. Source: Apache Airflow. 2022 Airflow user overview. Source: Apache Airflow.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

ProjectPro

JANUARY 25, 2022

Learning Spark has become more of a necessity to enter the Big Data industry. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 52

Big Data Data Process Process Kafka 52