Knowledge Hut

APRIL 25, 2023

These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale.

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

ProjectPro

SEPTEMBER 6, 2021

So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? It developed and optimized everything from cloud storage, computing, IaaS, and PaaS. And that is one big reason it is the market leader and dominates other cloud technologies aggressively. Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Towards Data Science

MARCH 5, 2024

Let’s assume the task is to copy data from a BigQuery dataset called bronze to another dataset called silver within a Google Cloud Platform project called project_x. Load data For data ingestion Google Cloud Storage is a pragmatic way to solve the task. Data can easily be uploaded and stored for low costs.

Bytes 69

Bytes Google Cloud Cloud Storage Utilities 69

ProjectPro

MAY 18, 2016

Big data industry has made Hadoop as the cornerstone technology for large scale data processing but deploying and maintaining Hadoop clusters is not a cakewalk. The challenges in maintaining a well-run Hadoop environment has led to the growth of Hadoop-as-a-Service (HDaaS) market. from 2014-2019.

Hadoop 40

Hadoop Google Cloud Big Data Cloud Computing 40

ProjectPro

JANUARY 24, 2023

Since its public release in 2011, BigQuery has been marketed as a unique analytics cloud data warehouse tool that requires no virtual machines or hardware resources. BigQuery is a highly scalable data warehouse platform with a built-in query engine offered by Google Cloud Platform. What is Google BigQuery Used for?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Cloudera

FEBRUARY 7, 2019

Enabling this transformation is the HDP platform, along with SAS Viya on Google Cloud , which has delivered machine learning models and personalization at scale. The company has shifted from developing tools to now providing services, which has brought additional productivity and enhanced the customer experience.

Utilities 67

Utilities Big Data Google Cloud Data Analytics 67

AltexSoft

OCTOBER 21, 2022

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

Monte Carlo

NOVEMBER 14, 2023

Table of Contents Airflow Prefect Dagster Mage Luigi Rivery Keboola Orchestrator Flyte Metaflow Azure Data Factory Databricks Workflows Google Cloud Composer Data orchestration tools are just one piece of the puzzle Airflow Image courtesy of Airflow. First things first—what’s Airflow?

Pipeline-centric 40

Pipeline-centric Google Cloud Python Data Workflow 40

ProjectPro

AUGUST 24, 2021

Source Code: Event Data Analysis using AWS ELK Stack 5) Data Ingestion This project involves data ingestion and processing pipeline with real-time streaming and batch loads on the Google cloud platform (GCP). Create a service account on GCP and download Google Cloud SDK(Software developer kit).

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

ProjectPro

JULY 30, 2021

50 Cloud Computing Interview Questions and Answers f0r 2023 Knowing how to answer the most commonly asked cloud computing questions can increase your chances of landing your dream cloud computing job roles. What are some popular use cases for cloud computing? What are the platforms that use Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Monte Carlo

AUGUST 25, 2023

Storage can utilize S3, Google Cloud Storage, Microsoft Azure Blob Storage, or Hadoop HDFS. And data lakes can support sophisticated non-SQL programming models, such as Apache Hadoop, Apache Spark, PySpark, and other frameworks. Compute tasks might run on Apache Pig, Hive, Presto, or Spark.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

U-Next

JULY 2, 2022

It is no secret that Google Cloud Platform and OpenStack enjoy a stranglehold on the big data and software development markets. The choice of one or more cloud engineer skills would depend on the business needs and the requirements.

Cloud 40

Cloud Engineering Cloud Computing Amazon Web Services 40

AltexSoft

MAY 12, 2023

File systems, data lakes, and Big Data processing frameworks like Hadoop and Spark are often utilized for managing and analyzing unstructured data. There are several widely used unstructured data storage solutions such as data lakes (e.g., Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage), NoSQL databases (e.g.,

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Confluent

OCTOBER 16, 2019

Amazon S3 ( Google Cloud Storage and Azure Blob Storage connectors are also available). His career has always involved data, from the old worlds of COBOL and DB2, through the worlds of Oracle and Hadoop and into the current world with Kafka. SELECT * FROM TRAIN_CANCELLATIONS_00 ; Data sinks.

Kafka 19

Kafka Building Data Coding 19

ProjectPro

MAY 31, 2021

This project will teach you how to design and implement an event-based data integration pipeline on the Google Cloud Platform by processing data using DataFlow. Snowflake Real-Time Data Warehouse Project for Beginners Snowflake provides a cloud-based analytics and data storage service called "data warehouse-as-a-service."

Big Data 52

Big Data Coding Project Hadoop 52

AltexSoft

MARCH 30, 2023

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 Machine Learning 64