Cloudera

MARCH 31, 2021

In this first Google Cloud release, CDP Public Cloud provides built-in Data Hub definitions (see screenshot for more details) for: Data Ingestion (Apache NiFi, Apache Kafka). Data Preparation (Apache Spark and Apache Hive) . Analyze static (Apache Impala) and streaming (Apache Flink) data.

Google Cloud 94

Google Cloud Cloud Amazon Web Services Cloud Storage 94

ProjectPro

SEPTEMBER 6, 2021

Are you confused about choosing the best cloud platform for your next data engineering project ? AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud?

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Knowledge Hut

FEBRUARY 29, 2024

A database is a structured data collection that is stored and accessed electronically. File systems can store small datasets, while computer clusters or cloud storage keeps larger datasets. According to a database model, the organization of data is known as database design.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

ProjectPro

AUGUST 24, 2021

Salary of Data Engineers Data Engineering Tools Skills Required to Become a Data Engineer Responsibilities of a Data Engineer FAQS on Data Engineering Projects Data Engineering Projects List There are a few data-related skills that most data engineering practitioners must possess.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

APRIL 25, 2023

Here, we'll take a look at the top data engineer tools in 2023 that are essential for data professionals to succeed in their roles. These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. What are Data Engineering Tools?

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

U-Next

SEPTEMBER 7, 2022

For building data lakes, the following technologies provide flexible and scalable data lake storage : . Gen 2 Azure Data Lake Storage . Cloud storage provided by Google . Data lakes can also be organized and queried using other technologies, such as . Atlas Data Lake powered by MongoDB. .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

ProjectPro

OCTOBER 6, 2021

Source : Cloud.google.com Cloud DataFlow is used when a streamlined batch pipeline is a requirement. Cloud DataPrep is a data preparation tool that is serverless. All these services help in a better user interface, and with Google Big Query, one can also upload and manage custom data sets.

Google Cloud 52

Google Cloud Project Data Lake Healthcare 52