Knowledge Hut

JUNE 23, 2023

You should have the expertise to collect data, conduct research, create models, and identify patterns. You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. You must develop predictive models to help industries and businesses make data-driven decisions.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

Edureka

OCTOBER 10, 2024

These include: Azure Services: This is because copying volumes of data from one service to another is very easy with full support for Microsoft Azure Blob Storage, Azure Data Lake Storage Gen 1 and Gen 2, Azure SQL Data Base, and Azure Synapse Analytics. can be ingested in Azure.

MongoDB 40

MongoDB NoSQL Metadata Datasets 40

ProjectPro

JANUARY 31, 2023

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 52

Big Data Hadoop Relational Database AWS 52

AltexSoft

JUNE 26, 2023

From the perspective of data science, all miscellaneous forms of data fall into three large groups: structured, semi-structured, and unstructured. Key differences between structured, semi-structured, and unstructured data. They can be accumulated in NoSQL databases like MongoDB or Cassandra.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

MARCH 19, 2024

Relational Database Service (RDS) Use Cases Since Amazon Relational Database Service (Amazon RDS) is a managed database service, it alleviates the stress associated with maintaining, administering, and other database-related responsibilities. and a MySQL instance in RDS to hold application data.

AWS 52

AWS Amazon Web Services Hospitality Cloud Computing 52

Silectis

JANUARY 3, 2021

BI (Business Intelligence) Strategies and systems used by enterprises to conduct data analysis and make pertinent business decisions. Big Data Large volumes of structured or unstructured data. Data pipelines can be automated and maintained so that consumers of the data always have reliable data to work with.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Workfall

MARCH 21, 2023

It is highly available, scalable, and distributed, and it supports: SQL querying from client devices GraphQL ACID transactions WebSocket connections Both structured and unstructured data Graph querying Full-text indexing Geospatial querying Row permission-based access SurrealQL is an out-of-the-box SQL-style query language included with SurrealDB.

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

ProjectPro

FEBRUARY 8, 2023

This serverless data integration service can automatically and quickly discover structured or unstructured enterprise data when stored in data lakes in Amazon S3, data warehouses in Amazon Redshift, and other databases that are a component of the Amazon Relational Database Service.

AWS 98

AWS Scala Metadata Data Lake 98

Knowledge Hut

SEPTEMBER 6, 2023

This is an entry-level database certification, and it is a stepping stone for other role-based data-focused certifications, like Azure Data Engineer Associate, Azure Database Administrator Associate, Azure Developer Associate, or Power BI Data Analyst Associate. Skills acquired : Core data concepts.

Database 52

Database Certification MongoDB MySQL 52

Knowledge Hut

JULY 24, 2023

According to recent studies, the global database market will grow from USD 63.4 SQL is a powerful tool for managing and manipulating relational databases, and it continues to be widely used in the industry today. One of its most significant benefits is its ability to quickly process a vast amount of data.

Database 52

Database SQL Process NoSQL 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

Knowledge Hut

SEPTEMBER 28, 2023

Amazon RDS (Relational Database Services): Automate time-consuming operations like hardware provisioning, database configuration, patching, and backups in a way that is cost-effective and appropriate for your requirements.

AWS 52

AWS Cloud Computing Architecture Cloud 52

AltexSoft

AUGUST 29, 2023

Data sources can be broadly classified into three categories. Structured data sources. These are the most organized forms of data, often originating from relational databases and tables where the structure is clearly defined. Semi-structured data sources. Unstructured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

OCTOBER 28, 2015

Sqoop in Hadoop is mostly used to extract structured data from databases like Teradata, Oracle, etc., and Flume in Hadoop is used to sources data which is stored in various sources like and deals mostly with unstructured data. The complexity of the big data system increases with each data source.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

ProjectPro

MARCH 19, 2015

RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data. As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT

NoSQL 49

NoSQL Big Data SQL Database-centric 49

Knowledge Hut

APRIL 3, 2023

This includes the server, database, and application logic, as well as the APIs and other interfaces that connect the backend with the front end of the application. Backend developers work with programming languages such as Java, Python, Ruby, and PHP, as well as databases such as MySQL, MongoDB, and PostgreSQL.

Programming Language 52

Programming Language Computer Science Portfolio Java 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

Knowledge Hut

APRIL 12, 2023

Databases: You get multiple database options on Azure such as SQL Database, Cosmos DB, and MySQL. With this service, communication only occurs between the enterprise network and the targeted service, ensuring secure and efficient data transfer.

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 52

AltexSoft

NOVEMBER 23, 2021

The responsibility of this layer is to access the information scattered across multiple source systems, containing both structured and unstructured data , with the help of connectors and communication protocols. Data virtualization platforms can link to different data sources including.

Process 69

Process Data Lake Metadata Data Warehouse 69

ProjectPro

DECEMBER 7, 2021

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. Step 2- Internal Data transformation at LakeHouse.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

SEPTEMBER 26, 2014

BI professionals use various tools to draw useful data that are used to generate customized reports and this is where the Hadoop File Distribution System (HDFS) proves itself. The present day RDBMS are perfect for querying structured data and people are well acquainted with their technicalities. These files can be saved on Hadoop HDFS.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

NOVEMBER 14, 2015

Data Migration RDBMSs were inefficient and failed to manage the growing demand for current data. This failure of relational database management systems triggered organizations to move their data from RDBMS to Hadoop.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

JULY 30, 2021

It backs up storage in a routine fashion without the hassle of Database administrators interfering. RDS (Amazon Relational Database System) is the traditional relational database that provides scalability and cost-effective solutions for storing data. Blob storage provides storing of unstructured data.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

JANUARY 11, 2024

Data Science can be described as a domain that applies advanced analytics, statistics and scientific principle for extracting valuable information and deriving valuable conclusions from structured or unstructured data. Terms like Machine Learning and Artificial Intelligence are often used in data science.

Finance 93

Finance Data Science Programming Language Machine Learning 93

U-Next

AUGUST 3, 2022

A high-ranking expert is known as a “Data Scientist” who works with big data and has the mathematics, economic, technical, analytic, and technological abilities necessary to cleanse, analyse and evaluate organised and unstructured data to help organisations make more informed decisions. Data Scientist Skills.

Data Science 52

Data Science Retail Computer Science Entertainment 52