ProjectPro

JUNE 6, 2025

Source Code: Build a Similar Image Finder Top 3 Open Source Big Data Tools This section consists of three leading open-source big data tools- Apache Spark , Apache Hadoop, and Apache Kafka. In Hadoop clusters , Spark apps can operate up to 10 times faster on disk. Hadoop, created by Doug Cutting and Michael J.

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

ProjectPro

JUNE 6, 2025

Spark is incredibly fast in comparison to other similar frameworks like Apache Hadoop. It is approximately 100 times quicker than Hadoop since it uses RAM rather than local memory. Compatibility with Hadoop - Spark can operate independently of Hadoop and on top of it. This is said to be one of its main drawbacks.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

The data integration aspect of the project is highlighted in the utilization of relational databases, specifically PostgreSQL and MySQL , hosted on AWS RDS (Relational Database Service). Some examples of data integration tools that help are Apache Spark, Talend , Hadoop, etc.

Data Integration 40

Data Integration Project Data Lake PostgreSQL 40

ProjectPro

JUNE 6, 2025

E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. How does Network File System (NFS) differ from Hadoop Distributed File System (HDFS)? Network File System Hadoop Distributed File System NFS can store and process only small volumes of data. Explain how Big Data and Hadoop are related to each other.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

Building and maintaining data pipelines Data Engineer - Key Skills Knowledge of at least one programming language, such as Python Understanding of data modeling for both big data and data warehousing Experience with Big Data tools (Hadoop Stack such as HDFS, M/R, Hive, Pig, etc.)

Data Science 56

Data Science Data Mining Data Architect BI 56

Knowledge Hut

DECEMBER 21, 2023

For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Understanding of Big Data technologies such as Hadoop, Spark, and Kafka. Familiarity with database technologies such as MySQL, Oracle, and MongoDB. Knowledge of Hadoop, Spark, and Kafka.

Data Engineer 52

Data Engineer Data Engineering Engineering MongoDB 52

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 ETL Tools Java 93

Knowledge Hut

JUNE 23, 2023

You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. Apache Hadoop-based analytics to compute distributed processing and storage against datasets. What are the features of Hadoop? Operating system know-how which includes UNIX, Linux, Solaris, and Windows.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

ProjectPro

JUNE 6, 2025

This growth is due to the increasing adoption of cloud-based data integration solutions such as Azure Data Factory. If you have heard about cloud computing , you would have heard about Microsoft Azure as one of the leading cloud service providers in the world, along with AWS and Google Cloud.

Data Lake 60

Data Lake Metadata SQL Datasets 60

Booking.com Engineering

DECEMBER 2, 2022

In this article, we want to illustrate our extensive use of the public cloud, specifically Google Cloud Platform (GCP). BigQuery saves us substantial time — instead of waiting for hours in Hive/Hadoop, our median query run time is 20 seconds for batch, and 2 seconds for interactive queries[3].

Systems 52

Systems Cloud MySQL Relational Database 52

AltexSoft

MAY 12, 2023

It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. File systems, data lakes, and Big Data processing frameworks like Hadoop and Spark are often utilized for managing and analyzing unstructured data.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

DECEMBER 22, 2023

This person may work with architects who design cloud infrastructure on networking or cloud teams. Who is a Cloud Network Engineer? A Professional Cloud Network Engineer works closely with Google Cloud's network architecture team to design, implement, and manage cloud networks.

Cloud 52

Cloud Engineering Amazon Web Services Google Cloud 52

ProjectPro

JANUARY 19, 2022

Experience with using cloud services providing platforms like AWS/GCP/Azure. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. The three most popular cloud service providing platforms are Google Cloud Platform, Amazon Web Services, and Microsoft Azure.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Databand.ai

DECEMBER 20, 2022

Follow Martin on LinkedIn 5) Aishwarya Srinivasan Data Scientist - Google Cloud AI Aishwarya is working as a Data Scientist in the Google Cloud AI Services team to build machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and AI Platform.

Data Analytics 52

Data Analytics Google Cloud Data Mining Data Science 52

Databand.ai

DECEMBER 13, 2022

Follow Charles on LinkedIn 3) Deepak Goyal Azure Instructor at Microsoft Deepak is a certified big data and Azure Cloud Solution Architect with more than 13 years of experience in the IT industry. On LinkedIn, he focuses largely on Spark, Hadoop, big data, big data engineering, and data engineering.

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

Knowledge Hut

MARCH 20, 2024

Average Salary: $126,245 Required skills: Familiarity with Linux-based infrastructure Exceptional command of Java, Perl, Python, and Ruby Setting up and maintaining databases like MySQL and Mongo Roles and responsibilities: Simplifies the procedures used in software development and deployment.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

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

Knowledge Hut

SEPTEMBER 6, 2023

Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing. Cloud Computing : Knowledge of cloud platforms like AWS, Azure, or Google Cloud is essential as these are used by many organizations to deploy their big data solutions.

Big Data 52

Big Data Certification Hadoop Generalist 52

Knowledge Hut

MARCH 27, 2024

Some open-source technology for big data analytics are : Hadoop. APACHE Hadoop Big data is being processed and stored using this Java-based open-source platform, and data can be processed efficiently and in parallel thanks to the cluster system. The Hadoop Distributed File System (HDFS) provides quick access. Apache Spark.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

JUNE 16, 2023

Data modeling and database management: Data analysts must be familiar with DBMS like MySQL, Oracle, and PostgreSQL as well as data modeling software like ERwin and Visio. Cloud computing: For data analysts, familiarity with cloud computing platforms like AWS, Azure, and Google Cloud Platform is crucial.

Programming Language 52

Programming Language Cloud Computing Data Analytics Data Preparation 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 the platforms that use Cloud Computing? Google Cloud Platform(GCP) Interview Questions and Answers 1.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

AUGUST 31, 2018

Research firm Gartner published a document stating that Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and IBM Cloud are innovative tech giants that provide highly cost-competitive alternatives to conventional on-premises hosting infrastructures.

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45

Knowledge Hut

NOVEMBER 28, 2023

Cloud Engineer These developers design, build and maintain cloud-based systems and infrastructure. They typically have experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Programming Language 52

Programming Language Amazon Web Services Software Engineer Software Engineering 52

ProjectPro

JULY 27, 2021

E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. How does Network File System (NFS) differ from Hadoop Distributed File System (HDFS)? Network File System Hadoop Distributed File System NFS can store and process only small volumes of data. Explain how Big Data and Hadoop are related to each other.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

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. Conclusion.

Cloud 40

Cloud Engineering Cloud Computing Amazon Web Services 40

ProjectPro

JUNE 6, 2025

Amazon Web Services (AWS) held a 32% share of the cloud computing infrastructure services market in the fourth quarter of 2022, followed by Microsoft Azure (23%) and Google Cloud, which held a 10% share. The X-Ray SDK also offers add-ons for the PostgreSQL and MySQL interfaces.

AWS 40

AWS Amazon Web Services Cloud Computing Database 40

Knowledge Hut

MARCH 19, 2024

I am also experienced in big data technologies with Data Science courses in Hadoop, Spark, and NoSQL databases. Track record of reducing costs and improving operational efficiency through the use of innovative cloud technologies. My skills include machine learning, statistics, data visualization, and predictive modeling.

Finance 52

Finance Certification Utilities Business Intelligence 52

ProjectPro

JUNE 6, 2025

How to Check if MySQL Is Connected to Apache Airflow? The following code shows the creation of two tasks: one for running a bash command and another for executing a MySQL query. They simplify integration with external APIs and databases like Hive, MySQL, and GCS. Google Cloud Platform) that you are using.

MySQL 40

MySQL Data Pipeline Metadata Google Cloud 40

ProjectPro

JUNE 6, 2025

Numerous efficient ETL tools are available on Google Cloud, so you won't have to perform ETL manually and risk compromising the integrity of your data. Look deeper at some of the most popular cloud ETL tools on the Google Cloud Platform. BigQuery is serverless, so there is no infrastructure to set up or maintain.

ETL Tools 40

ETL Tools Big Data Google Cloud Project 40

AltexSoft

NOVEMBER 7, 2022

For production purposes, choose from PostgreSQL 10+, MySQL 8+, and MsSQL. So you can quickly link to many popular databases, cloud services, and other tools — such as MySQL, PostgreSQL, HDFS ( Hadoop distributed file system), Oracle, AWS, Google Cloud, Microsoft Azure, Snowflake, Slack, Tableau , and so on.

PostgreSQL 52

PostgreSQL Metadata MySQL Python 52

Rockset

APRIL 15, 2022

Traditional transactional databases, such as Oracle or MySQL, were designed with the assumption that data would need to be continuously updated to maintain accuracy. Most were cloud native ( Amazon Kinesis , Google Cloud Dataflow) or were commercially adapted for the cloud ( Kafka ⇒ Confluent, Spark ⇒ Databricks).

Analytics Application 52

Analytics Application Data Warehouse Kafka Raw Data 52