Knowledge Hut

JANUARY 24, 2024

Supports numerous data sources It connects to and fetches data from a variety of data sources using Tableau and supports a wide range of data sources, including local files, spreadsheets, relational and non-relational databases, data warehouses, big data, and on-cloud data.

BI 98

BI Business Intelligence Non-relational Database Certification 98

Knowledge Hut

JUNE 23, 2023

You should be well-versed in Python and R, which are beneficial in various data-related operations. Apache Hadoop-based analytics to compute distributed processing and storage against datasets. Get certified in relational and non-relational database designs, which will help you with proficiency in SQL and NoSQL domains.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

ProjectPro

JANUARY 31, 2023

Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. How is Hadoop related to Big Data? Explain the difference between Hadoop and RDBMS. RDBMS is a part of system software used to create and manage databases based on the relational model.

Big Data 52

Big Data Hadoop Relational Database NoSQL 52

Silectis

JANUARY 3, 2021

Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Cassandra A database built by the Apache Foundation. Hadoop / HDFS Apache’s open-source software framework for processing big data.

Data Engineer 40

Data Engineer Data Engineering Engineering Non-relational Database 40

Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 52

Cloud Academy

JANUARY 27, 2022

For example, you can learn about how JSONs are integral to non-relational databases – especially data schemas, and how to write queries using JSON. Apache Hadoop Introduction to Google Cloud Dataproc Hadoop allows for distributed processing of large datasets.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

AltexSoft

OCTOBER 8, 2021

ODI has a wide array of connections to integrate with relational database management systems ( RDBMS) , cloud data warehouses, Hadoop, Spark , CRMs, B2B systems, while also supporting flat files, JSON, and XML formats. They include NoSQL databases (e.g., MongoDB), SQL databases (e.g., Pre-built connectors.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 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).

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

AltexSoft

NOVEMBER 23, 2021

It maps metadata and semantically similar data assets from different autonomous databases to a common virtual data model or schema of the abstraction layer. To join data together from non-relational databases and other unstructured sources, TIBCO has the built-in transformation engine doing all the jobs.

Process 69

Process Data Lake Metadata Data Warehouse 69

AltexSoft

JUNE 26, 2023

Relational vs non-relational databases As we mentioned above, relational or SQL databases are designed for structured or tabular data. Non-relational databases , on the other hand, work for data forms and structures other than tables. and its value (male, red, $100, etc.).

Data Collection 52

Data Collection Machine Learning Unstructured Data Electronics 52

ProjectPro

NOVEMBER 15, 2021

Apache Spark is also quite versatile, and it can run on a standalone cluster mode or Hadoop YARN , EC2, Mesos, Kubernetes, etc. You can also access data through non-relational databases such as Apache Cassandra, Apache HBase, Apache Hive, and others like the Hadoop Distributed File System.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

JUNE 6, 2025

Relational and non-relational databases are among the most common data storage methods. Learning SQL is essential to comprehend the database and its structures. ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse.

Data Engineer 49

Data Engineer Data Engineering Engineering Certification 49

ProjectPro

JANUARY 19, 2022

Relational and non-relational databases are among the most common data storage methods. Learning SQL is essential to comprehend the database and its structures. ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse.

Data Engineer 52

Data Engineer Data Engineering Engineering Certification 52

ProjectPro

JUNE 6, 2025

In the big data industry, Hadoop has emerged as a popular framework for processing and analyzing large datasets, with its ability to handle massive amounts of structured and unstructured data. In this blog, we will explore some exciting and real time Hadoop projects that can help you take your data analysis and processing to the next level.

Hadoop 40

Hadoop Project Big Data Media 40

Knowledge Hut

DECEMBER 26, 2023

Relational and non-relational databases, such as RDBMS, NoSQL, and NewSQL databases. Leveraging Apache technologies like Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive to encapsulate, split, and isolate Big Data and virtualize Big Data servers.

Big Data 75

Big Data Data Mining Business Intelligence Non-relational Database 75

U-Next

AUGUST 3, 2022

Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing. Database Management: A Data Scientist has to have a solid understanding of data processing and data managerial staff, in addition to being skilled with machine learning and statistical models.

Retail 52

Retail Data Science Computer Science Entertainment 52