ProjectPro

NOVEMBER 5, 2014

Hadoop is the way to go for organizations that do not want to add load to their primary storage system and want to write distributed jobs that perform well. MongoDB NoSQL database is used in the big data stack for storing and retrieving one item at a time from large datasets whereas Hadoop is used for processing these large data sets.

MongoDB 40

MongoDB Hadoop NoSQL Big Data 40

ProjectPro

OCTOBER 28, 2015

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. then you are on the right page.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Knowledge Hut

MARCH 20, 2024

To ensure that the data is reliable, consistent, and easily accessible, data engineers work with various data storage platforms, such as relational databases, NoSQL databases, and data warehouses. Data engineers must know about big data technologies like Hive, Spark, and Hadoop.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 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. Database Management : knowing how to work with databases - both relational(like Postgres) and non-relational - is important for efficient storing and retrieval of data.

Big Data 52

Big Data Certification Hadoop Scala 52

ProjectPro

OCTOBER 15, 2014

Pig and Hive are the two key components of the Hadoop ecosystem. What does pig hadoop or hive hadoop solve? Pig hadoop and Hive hadoop have a similar goal- they are tools that ease the complexity of writing complex java MapReduce programs. Apache HIVE and Apache PIG components of the Hadoop ecosystem are briefed.

Hadoop 52

Hadoop Unstructured Data Java SQL 52

ProjectPro

AUGUST 24, 2016

In spite of a few rough edges, HBase has become a shining sensation within the white hot Hadoop market. The NOSQL column oriented database has experienced incredible popularity in the last few years. Also, with exponentially growing data, relational databases cannot handle the variety of data to render better performance.

Architecture 40

Architecture IT Hadoop NoSQL 40

ProjectPro

NOVEMBER 15, 2021

Furthermore, excellent open-source contributions can elevate your portfolio and resume to the next level, empowering you to pursue new and promising career avenues in the future. Apache Spark is also quite versatile, and it can run on a standalone cluster mode or Hadoop YARN , EC2, Mesos, Kubernetes, etc.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

JANUARY 19, 2022

Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Below, we mention a few popular databases and the different softwares used for them. Thus, having worked on projects that use tools like Apache Spark, Apache Hadoop, Apache Hive, etc., and their implementation on the cloud is a must for data engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

AUGUST 11, 2021

Is Hadoop a data lake or data warehouse? The data warehouse layer consists of the relational database management system (RDBMS) that contains the cleaned data and the metadata, which is data about the data. This layer should support both SQL and NoSQL queries. Is Hadoop a data lake or data warehouse?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

JULY 27, 2021

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). Briefly define COSHH.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 23, 2016

Hadoop job interview is a tough road to cross with many pitfalls, that can make good opportunities fall off the edge. One, often over-looked part of Hadoop job interview is - thorough preparation. Needless to say, you are confident that you are going to nail this Hadoop job interview. directly into HDFS or Hive or HBase.

Hadoop 40

Hadoop MySQL Relational Database Java 40

ProjectPro

JANUARY 19, 2022

Azure Data Engineer Job Description | Accenture Azure Certified Data Engineer Azure Data Engineer Certification Microsoft Azure Projects for Practice to Enhance Your Portfolio FAQs Who is an Azure Data Engineer? Relational and non-relational databases are among the most common data storage methods.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

AUGUST 26, 2015

1998 -An open source relational database was developed by Carlo Strozzi who named it as NoSQL. However, 10 years later, NoSQL databases gained momentum with the need to process large unstructured data sets. Hadoop is an open source solution for storing and processing large unstructured data sets.

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40

ProjectPro

AUGUST 31, 2018

Azure and AWS both provide database services, regardless of whether you need a relational database or a NoSQL offering. Amazon’s RDS (Relational Database Service ) and Microsoft’s equivalent SQL Server database both are highly available and durable and provide automatic replication.

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45

ProjectPro

JUNE 6, 2015

Solocal has taken big data to the next stage of BI by designing a novel vision of BI with the open source distributed computing framework Hadoop. It replaced its traditional BI structure by integrating big data and Hadoop."-April BI is not a tool, a report or a database. So what is BI? So what is BI? BI is a whole framework.

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 40

ProjectPro

MARCH 16, 2015

Need of Hadoop in Healthcare Data Solutions Charles Boicey an Information Solutions Architect at UCI says that “Hadoop is the only technology that allows healthcare to store data in its native form. Now we can bring everything into Hadoop , regardless of data format or speed of ingest. We leave no data behind.”

Healthcare 40

Healthcare Big Data Project Hospitality 40

ProjectPro

JULY 30, 2021

Map-reduce - Map-reduce enables users to use resizable Hadoop clusters within Amazon infrastructure. Amazon’s counterpart of this is called Amazon EMR ( Elastic Map-Reduce) Hadoop - Hadoop allows clustering of hardware to analyse large sets of data in parallel. What are the platforms that use Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40