Cloud Academy

JANUARY 27, 2022

Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. Data engineers are responsible for transforming data into an easily accessible format, identifying trends in data sets, and creating algorithms to make the raw data more useful for business units.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

U-Next

SEPTEMBER 9, 2022

A DBA typically works with database management systems (DBMS) to ensure that data is properly stored, organized, and secured. DBAs typically have a deep understanding of database design and architecture and how to optimize performance and troubleshoot issues. . This is where a database administrator comes in.

Database 40

Database Data Cleanse Non-relational Database Database Design 40

Silectis

JANUARY 3, 2021

Data engineers design, build, and maintain data pipelines that transform data from a raw state to a useful one, ready for analysis or data science modeling. MySQL An open-source relational databse management system with a client-server model. Data Engineering Data engineering is a process by which data engineers make data useful.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

APRIL 25, 2024

Back-end development refers to designing, altering, and fixing the software part of a website. Knowledge of Popular Frameworks Backend developers use certain tools to design the architecture of a website. Effectively communicate with developers, designers, and system administrators to identify new features. to manage DBMS.

Programming Language 98

Programming Language Java Algorithm MySQL 98

Rockset

DECEMBER 31, 2022

Because of this, standard transactional databases aren’t always the best fit. Instead, databases such as DynamoDB have been designed to manage the new influx of data. DynamoDB is an Amazon Web Services database system that supports data structures and key-valued cloud services. This is a great advantage for diagnostics.

Non-relational Database 52

Non-relational Database Healthcare NoSQL Amazon Web Services 52

Knowledge Hut

SEPTEMBER 22, 2023

The Azure Data Engineering Certificate is designed for data engineers and developers who wish to show that they are experts at creating and implementing data solutions using Microsoft Azure data services. Azure identity, access and security, as well as governance and compliance, are other abilities that are taught.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

NOVEMBER 23, 2021

What is Cloudera Operational Database (COD)? Operational Database is a relational and non-relational database built on Apache HBase and is designed to support OLTP applications, which use big data. The operational database in Cloudera Data Platform has the following components: .

Database 93

Database Non-relational Database NoSQL Government 93

Knowledge Hut

DECEMBER 28, 2023

The answer lies within databases. Imagine having all your business data - from customer information to product inventory - stored in one secure location, easily accessible, ready to be queried, updated, and analysed. That is precisely what a database offers— a secure location. "Once But where does it all reside?

Database 52

Database MySQL SQL Relational Database 52

Edureka

FEBRUARY 9, 2023

As an Azure Data Engineer, you will be in charge of designing, building, deploying, and maintaining data-driven solutions that meet your organization’s business needs. An Azure Data Engineer with these skills can effectively design, implement, and manage complex data-driven solutions that can drive business success.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Rockset

JUNE 7, 2022

Relational databases scale up well, but can be painful to scale out when a company has more data than a single database server can manage. On the other hand, non-relational databases (commonly referred to as NoSQL databases) are flexible databases for big data and real-time web applications.

MongoDB 52

MongoDB NoSQL Relational Database Non-relational Database 52

AltexSoft

JUNE 26, 2023

The ultimate goal of data integration is to gather all valuable information in one place, ensuring its integrity , quality, accessibility throughout the company, and readiness for BI, statistical data analysis, or machine learning. Most modern platforms expose public or private APIs as a way to access their data directly.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

JANUARY 19, 2022

Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. According to Dice Insights, data engineering was the top trending career in the technology industry in 2019, beating out computer scientists, web designers, and database architects.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

APRIL 12, 2023

MongoDB is a NoSQL database that stores data in JSON-like documents. The data stored in MongoDB can be accessed and manipulated using CRUD (Create, Read, Update, Delete) operations. Large Community: MERN stack has a large and active community of developers, providing access to a wealth of resources, tutorials, and support.

MongoDB 59

MongoDB NoSQL Architecture Non-relational Database 59

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

AltexSoft

OCTOBER 8, 2021

At the same time, you get rid of the “data silos” problem: When no team or department has a unified view of all data due to fragments being locked in separate databases with limited access. Sensitive data can be protected using a combination of access controls and encryption. IBM DataStage Designer interface. Source: G2.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

JANUARY 31, 2023

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. HBase storage is ideal for random read/write operations, whereas HDFS is designed for sequential processes. Scripting: Designing test cases necessitates a high level of scripting expertise.

Big Data 52

Big Data Hadoop Relational Database AWS 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 Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

NOVEMBER 15, 2021

When any particular project is open-sourced, it makes the source code accessible to anyone. It incorporates caching, stream computing, message queuing, and other functionalities to decrease the complexity and expenses of development and operations, in addition to the 10x quicker time-series database.

Big Data 52

Big Data Project Metadata Programming Language 52

U-Next

AUGUST 3, 2022

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. They must organise, integrate, clean, and arrange a sizable amount of data to make it ready for future usage.

Data Science 52

Data Science Retail Computer Science Entertainment 52

Knowledge Hut

DECEMBER 26, 2023

Relational and non-relational databases, such as RDBMS, NoSQL, and NewSQL databases. Author Name: This Book is written by Martin Kleppman Publisher's Info: O'Reilly Overview It isn't easy to manage data in its entirety, especially when it comes to system design.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

Knowledge Hut

JANUARY 2, 2024

SQL Born in the early 1970s at IBM, SQL, or Structured Query Language, was designed to manage and retrieve data stored in relational databases. While numerous database systems exist, the core essence of SQL querying remains consistent across them, making it a timeless skill in the tech world. Salary: Approx.

Programming Language 52

Programming Language Programming Java NoSQL 52