AltexSoft

MAY 12, 2023

Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. Unlike structured data, which is organized into neat rows and columns within a database, unstructured data is an unsorted and vast information collection. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

DECEMBER 19, 2023

These languages aid users in accessing the site or app that has been developed. Since GitHub repositories are freely accessible to the public, developers globally can interact and work on each other’s codes and modify or use them for their purpose. This part is accessed by the users through the front-end application.

Java 98

Java Programming Language Architecture Database 98

AltexSoft

JULY 29, 2022

A master node called NameNode maintains metadata with critical information, controls user access to the data blocks, makes decisions on replications, and manages slaves. Yet, its pool of supporters definitely stands out if compared with other Big Data platforms. How HDFS master-slave structure works. Robust community.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Rockset

OCTOBER 30, 2018

Facebook may be the very definition of a web-scale company, but getting hardware still required huge lead times and extensive capacity planning. Likewise, many other pre-cloud systems, including MongoDB and Elasticsearch, were designed for a world in which the underlying hardware, on which they run, was fixed.

Cloud 40

Cloud IT MongoDB Hadoop 40

AltexSoft

NOVEMBER 23, 2021

To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization. In simple terms, data remains in original sources while users can access and analyze it virtually via special middleware. Real-time access. Single point of failure.

Process 69

Process Data Lake Metadata Data Warehouse 69

U-Next

AUGUST 3, 2022

This definition is rather wide because Data Science is, undoubtedly, a somewhat vast discipline! 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. Non-Technical Competencies.

Retail 52

Retail Data Science Computer Science Entertainment 52

AltexSoft

MARCH 14, 2023

While the open-source part is definitely a good thing, it requires a high level of expertise as there’s often no GUI. That’s why some MDS tools are commercial distributions designed to be low-code or even no-code, making them accessible to data practitioners with minimal technical expertise. Data democratization.

IT 59

IT Data Warehouse Data Governance Data Lake 59

ProjectPro

OCTOBER 28, 2015

The major difference between Sqoop and Flume is that Sqoop is used for loading data from relational databases into HDFS while Flume is used to capture a stream of moving data. The data sources can refer to databases, machine data, web APIs, relational databases, flat files, log files, and RSS (RDF Site Summary) feeds, to name a few.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

ProjectPro

JANUARY 19, 2022

We will cover it all, from its definition, skills, responsibilities to the significance of data engineer in an institution. Making raw data more readable and accessible falls under the umbrella of a data engineer’s responsibilities. Data Engineering is gradually becoming a popular career option for young enthusiasts.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Cloudera

DECEMBER 12, 2018

I would like to start off by asking you to tell us about your background and what kicked off your 20-year career in relational database technology? Greg Rahn: I first got introduced to SQL relational database systems while I was in undergrad. There’s MongoDB for document stores. you name it.

Data Warehouse 42

Data Warehouse Relational Database Hadoop BI 42

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 Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

SEPTEMBER 6, 2023

Certification Provider : IBM Duration : ~5 months at 10 hours a week Cost : $98 USD Importance : Learn to create, design, & manage relational databases & apply database administration (DBA) concepts to RDBMSs such as MySQL, PostgreSQL, & IBM Db2. Get access to real-world case studies and applications.

Big Data 52

Big Data Certification Hadoop Scala 52