Rockset

OCTOBER 20, 2021

Comprehensive analytics require extremely robust data transformations, which is challenging and expensive to make real-time when your data is residing in technologies not optimized for real-time analytics. S3 or GCS), NoSQL databases (e.g. PostgreSQL or MySQL). Hope you can join us for the event!

SQL 52

SQL PostgreSQL MongoDB NoSQL 52

Knowledge Hut

DECEMBER 22, 2023

Technical business analysts are business analysts who bridge the gap between business management and information technology. A technical business analyst has a strong understanding of technology. Database Knowledge: They must have an understanding of database management systems (DBMS) like SQL Server, Oracle, MySQL, or NoSQL databases.

Business Analyst 52

Business Analyst Portfolio Certification Education 52

ProjectPro

JANUARY 19, 2022

Yet to become a popular choice for big data technology. Supports big data technology well. However, make a note of other features as well when implementing cloud computing technology from a business perspective; a lot of different things have to be taken into consideration. Subscription plans are not so flexible.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

NOVEMBER 14, 2015

As we step into the latter half of the present decade, we can’t help but notice the way Big Data has entered all crucial technology-powered domains such as banking and financial services, telecom, manufacturing, information technology, operations, and logistics. That is where Apache Hadoop and Apache Spark come in.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

DECEMBER 21, 2023

For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. As data engineering is the most in-demand job in technology right now, it is a highly competitive field to break into. Understanding of Big Data technologies such as Hadoop, Spark, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

JANUARY 23, 2024

The ever-changing landscape of technology demands versatility, making the hiring of a Full Stack Developer a strategic move for several reasons. Proficiency with Linux, PHP, Apache, MySQL, Express.js, Node.js, AngularJS, and other technologies is crucial for backend development.

MongoDB 98

MongoDB Programming Language Java MySQL 98

Rockset

APRIL 15, 2021

This has been by far one of the most well-known weaknesses of relational databases for much of the past decade, and has led to surges in popularity of several new classes of databases such as NoSQL and NewSQL – each with their own sets of tradeoffs and drawbacks.

PostgreSQL 40

PostgreSQL MySQL Relational Database NoSQL 40

Knowledge Hut

JULY 24, 2023

Recently, the advent of stream processing has unlocked the door for a new era in database technology. Most database management systems, such as Microsoft SQL Server, MySQL, and SAP Adaptive Server, are compatible with SQL. The role of the SQL developer is also evolving as new technologies and approaches emerge.

SQL 52

SQL Database Process NoSQL 52

Knowledge Hut

MARCH 27, 2024

Data tracking is becoming more and more important as technology evolves. You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. Some open-source technology for big data analytics are : Hadoop. Apache Spark. Apache Storm. Apache SAMOA.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Edureka

JANUARY 12, 2024

The role of Full Stack Web Developer is one of the most dynamic and sought-after positions in the technology industry. Their role involves integrating various technologies to create and maintain fully functional web applications, making them versatile professionals in the tech industry.

NoSQL 52

NoSQL Java MongoDB Programming 52

U-Next

AUGUST 25, 2022

An open-spurce NoSQL database management program, MongoDB architecture, is used as an alternative to traditional RDMS. Since MongoDB does not store or retrieve data in the form of columns, it is referred to as a NoSQL (Not Just SQL) database. Due to its NoSQL database, the data is kept as a collection and documents.

MongoDB 40

MongoDB Architecture NoSQL MySQL 40

Workfall

MARCH 21, 2023

SurrealDB is the solution for database administration, which includes general admin and user management, enforcing data security and control, performance monitoring, maintaining data integrity, dealing with concurrency transactions, and recovering information in the event of an unexpected system failure. What is Jamstack? src/main.rs(1):

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

Knowledge Hut

DECEMBER 26, 2023

Even in full stack there are different domains, different technology, tech companies, and so many different tools have been created by these companies. It is also to be noted that these tools can differ based on different technologies. Its fundamental usage is in event-driven, non-blocking servers. the files on the server.

MongoDB 98

MongoDB Programming Language Java Python 98

Rockset

MARCH 26, 2023

Folks have definitely tried, and while Apache Kafka® has become the standard for event-driven architectures, it still struggles to replace your everyday PostgreSQL database instance in the modern application stack. However, even within the database itself, everything starts as an event in a log.

Cloud 52

Cloud PostgreSQL Kafka Database 52

AltexSoft

JUNE 26, 2023

Set up data storage technology. They can be accumulated in NoSQL databases like MongoDB or Cassandra. Even now, in the era of ChatGPT , we still fill out paper-based documents and type numbers and words into an Excel file to capture events and record observations. Define what information you need to collect.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

OCTOBER 21, 2022

Kafka can continue the list of brand names that became generic terms for the entire type of technology. The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. This scenario involves three main characters — publishers, subscribers, and a message or event broker.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

OCTOBER 28, 2015

The Hadoop ecosystem provides a variety of open-source technologies tailored for the purpose of ETL. Apache Sqoop is an effective hadoop tool used for importing data from RDBMS’s like MySQL, Oracle, etc. Flume has a simple event driven pipeline architecture with 3 important roles-Source, Channel and Sink.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 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. The platform provides features for event-based , data-based, and service-based integration styles. They include NoSQL databases (e.g.,

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

AUGUST 31, 2018

However, the reality is that this is not a technological decision. Azure and AWS both provide database services, regardless of whether you need a relational database or a NoSQL offering. AWS works perfectly with NoSQL and relational databases providing a mature cloud environment for big data.

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45

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. E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. that leverage big data analytics and tools. Hadoop is a user-friendly open source framework.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

AUGUST 21, 2015

Hadoop applications have a wide range of technologies that provide a great advantage in solving complex business problems. ii) Data Storage – The subsequent step after ingesting data is to store it either in HDFS or NoSQL database like HBase. Client- The component that transmits event to the source that operates with the agent.

Hadoop 40

Hadoop Big Data Metadata Unstructured Data 40

AltexSoft

MAY 12, 2023

It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

AUGUST 9, 2018

No impact Database Engine MySQL, Oracle DB, SQL Server, Amazon Aurora, Postgre SQL Redshift NoSQL Primary Usage Feature Conventional Databases Data warehouse Database for dynamically modified data Multi A-Z Replication Additional Service Manual In-built 7. Maintenance Window 30 minutes every week. 30 minutes every week.

AWS 40

AWS Amazon Web Services Cloud Computing Database 40

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