ProjectPro

FEBRUARY 21, 2023

Data engineers and their skills play a crucial role in the success of an organization by making it easier for data scientists , data analysts , and decision-makers to access the data they need to do their jobs. Businesses rely on the knowledge and skills of data engineers to deliver scalable solutions to their clients.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

AltexSoft

MARCH 30, 2023

Databricks lakehouse platform architecture. Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others.

Scala 64

Scala Data Lake BI Google Cloud 64

Databand.ai

DECEMBER 13, 2022

He also has more than 10 years of experience in big data, being among the few data engineers to work on Hadoop Big Data Analytics prior to the adoption of public cloud providers like AWS, Azure, and Google Cloud Platform. He holds a Master’s degree in Computer Science from the University of Florida.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

JANUARY 31, 2022

Snowflake meets its users where they are most at ease, reducing the need to transfer data over the internet from their cloud environment to Snowflake. Amazon Web Services , Google Cloud Platform, and Microsoft Azure support Snowflake. You can use the data from the central storage layer to run queries in this layer.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

phData: Data Engineering

JULY 18, 2023

Key Benefits and Features of Using Snowflake Data Sharing: Easily share data securely within your organization or externally with your customers and partners. As your business scales and new capabilities become available, your modernized data platform will be able to take advantage of them.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

ProjectPro

OCTOBER 20, 2021

This would include the automation of a standard machine learning workflow which would include the steps of Gathering the data Preparing the Data Training Evaluation Testing Deployment and Prediction This includes the automation of tasks such as Hyperparameter Optimization, Model Selection, and Feature Selection.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

JULY 27, 2021

The syntax is: CREATE TRIGGER trigger_name (AFTER|BEFORE) (INSERT|UPDATE|DELETE) ON table_name FOR EACH ROW BEGIN Variable declarations Trigger code END; Data Engineer Interview Questions on Azure Most businesses are switching to cloud infrastructure these days. What data security solutions does Azure SQL DB provide?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40