Knowledge Hut

DECEMBER 26, 2023

Big Data: Concepts, Technology and Architecture For data scientists, engineers, and database managers, Big Data is the best book to learn big data. Relational and non-relational databases, such as RDBMS, NoSQL, and NewSQL databases. Top Big Data Books for Beginners 1.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

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 Non-relational Database Relational Database 52

Knowledge Hut

SEPTEMBER 29, 2023

By earning Azure certifications, you'll gain skills in a variety of tools and technologies, and because Microsoft's products are widely used in businesses, Azure integrates well with them. By diving into Azure, you're positioning yourself at the forefront of technological innovation.

Certification 52

Certification Cloud Computing Non-relational Database Cloud 52

Knowledge Hut

APRIL 12, 2023

In the world of web development, numerous technology stacks are available for developers to choose from. Developers can pick from a wide variety of technological stacks in the field of web development. MEAN stack is a popular web development technology stack that is used to build dynamic and scalable web applications.

MongoDB 59

MongoDB NoSQL Architecture Non-relational Database 59

AltexSoft

JUNE 26, 2023

Set up data storage technology. Here, we’ll review the most common technologies streamlining data gathering. Optical character recognition Optical character recognition, or OCR is a technology that detects printed or written text in scanned papers, images, PDFs, and other files and converts it into machine-readable electronic form.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

JANUARY 2, 2024

The world of technology thrives on the foundation of programming languages. Continuous Learning: The ever-evolving nature of technology ensures that coders are always learning, keeping the mind agile and informed. In today's rapidly advancing world of technology, the landscape of programming languages is continuously evolving.

Programming Language 52

Programming Language Programming Java NoSQL 52

ProjectPro

JANUARY 19, 2022

As a result, the role of data engineer has become increasingly important in the technology industry. 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. According to the 2020 U.S.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

JULY 26, 2023

In this blog, we will deep dive into database system applications in DBMS, and their components and look at a list of database applications. What are Database Applications? Database applications are software programs or systems that are designed to organize and efficiently store, handle, and retrieve vast amounts of data.

Database 52

Database NoSQL Telecommunication MongoDB 52

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

Cloud Academy

JANUARY 27, 2022

Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. For example, you can learn about how JSONs are integral to non-relational databases – especially data schemas, and how to write queries using JSON. Data engineers design, test and maintain data.

Data Engineering 52

Data Engineering Data Engineer Certification 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

ProjectPro

JANUARY 31, 2023

Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Thus, to help you with a one-stop solution, this blog on 100+ big data interview questions and answers covers the most likely asked interview questions on big data based on experience level, job role, tools, and technologies.

Big Data 52

Big Data Hadoop AWS Relational Database 52

AltexSoft

OCTOBER 8, 2021

With Big Data becoming a big deal in any industry, all tools provide a scalable data integration architecture and utilize powerful parallel processing technology for better scalability and performance. IBM DataStage Designer interface. Sensitive data can be protected using a combination of access controls and encryption. Source: G2.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

AltexSoft

NOVEMBER 23, 2021

They can design and perform whatever reports and analysis they need without worrying about a data format or where it resides. Let’s take a look at real-world use cases to see how companies operating in different industries leverage data virtualization technology. Self-service capabilities for all business users.

Process 69

Process Data Lake Metadata Data Warehouse 69

ProjectPro

JULY 27, 2021

In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry. Differentiate between relational and non-relational database management systems. that leverage big data analytics and tools.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

NOVEMBER 15, 2021

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. You're probably utilizing technologies that interact with Hadoop and HDFS if you work with terabytes or petabytes of data.

Big Data 52

Big Data Project Metadata Programming Language 52