Edureka

JULY 16, 2024

Back-end developers offer mechanisms of server logic APIs and manage databases with SQL or NoSQL technological stacks in PHP, Python, Ruby, or Node. js, React and Angular as the front-end technology stack, Python and Ruby on Rails as the backend technology stack, and SQL or NoSQL as a database architecture.

NoSQL 40

NoSQL PostgreSQL MongoDB Programming Language 40

DareData

JANUARY 30, 2023

In this post, we'll discuss some key data engineering concepts that data scientists should be familiar with, in order to be more effective in their roles. These concepts include concepts like data pipelines, data storage and retrieval, data orchestrators or infrastructure-as-code.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Monte Carlo

OCTOBER 31, 2024

Both traditional and AI data engineers should be fluent in SQL for managing structured data, but AI data engineers should be proficient in NoSQL databases as well for unstructured data management. Data Storage Solutions As we all know, data can be stored in a variety of ways.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Confluent

MARCH 4, 2019

Cloud is one of the key drivers for innovation. Innovative companies experiment with data to come up with something useful. But cloud alone doesn’t solve all the problems. A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery.

Cloud 89

Cloud Banking Kafka NoSQL 89

Grouparoo

DECEMBER 26, 2021

For data storage, the database is one of the fundamental building blocks. Cloud Databases The characterization of cloud-deployed databases revolves around their network accessibility, allowing users located anywhere with access to the required network access. What are the Different Types of Database Deployments?

Database 52

Database NoSQL Relational Database Data Storage 52

Edureka

OCTOBER 15, 2024

AWS has come up with a cloud-native database service known as Amazon Aurora. Data Plane Aurora uses these operations in its data storage and retrieval. To improve data high availability and durability, it is logged and stored continuously in Amazon S3. It has cloud-friendly features.

PostgreSQL 52

PostgreSQL MySQL AWS Relational Database 52

Striim

SEPTEMBER 11, 2024

Dmitriy Rudakov , Director of Solutions Architecture at Striim, describes it as “a program that moves data from source to destination and provides transformations when data is inflight.” Benjamin Kennedy, Cloud Solutions Architect at Striim, emphasizes the outcome-driven nature of data pipelines. “A

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. This can be easier when you are using existing cloud services.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

JULY 31, 2023

Cloud computing has made significant progress since its inception and continues to be a major focus in the industry. Among the leading platforms for cloud computing is Amazon Web Services (AWS), which has transformed organizations and IT professionals worldwide. It offers users a tool to access servers, storage, and networking.

AWS 52

AWS Amazon Web Services Cloud Computing Consulting 52

Data Engineering Podcast

JUNE 10, 2018

Summary With the increased ease of gaining access to servers in data centers across the world has come the need for supporting globally distributed data storage. With the first wave of cloud era databases the ability to replicate information geographically came at the expense of transactions and familiar query languages.

PostgreSQL 100

PostgreSQL NoSQL Relational Database SQL 100

Knowledge Hut

MARCH 20, 2024

They are responsible for establishing and managing data pipelines that make it easier to gather, process, and store large volumes of structured and unstructured data. Helps to ensure data availability, consistency, and integrity by collaborating with different data storage systems.

Software Engineering 52

Software Engineering Software Engineer Engineering Java 52

Databand.ai

AUGUST 30, 2023

DataOps Architecture Legacy data architectures, which have been widely used for decades, are often characterized by their rigidity and complexity. These systems typically consist of siloed data storage and processing environments, with manual processes and limited collaboration between teams.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Knowledge Hut

NOVEMBER 3, 2023

The need for efficient and agile data management products is higher than ever before, given the ongoing landscape of data science changes. MongoDB is a NoSQL database that’s been making rounds in the data science community. What is MongoDB for Data Science? Why Use MongoDB for Data Science?

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Knowledge Hut

JUNE 23, 2023

Let us look at the steps to becoming a data engineer: Step 1 - Skills for Data Engineer to be Mastered for Project Management Learn the fundamentals of coding skills, database design, and cloud computing to start your career in data engineering. Pathway 2: How to Become a Certified Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

SEPTEMBER 25, 2023

Microsoft Azure is a cloud computing platform that gives businesses fantastic services. This demonstrates how in-demand Microsoft Certified Data Engineers are becoming. They are moving their servers and on-premises data to Azure Cloud. What does all of this mean for Data Engineering professionals?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

JULY 26, 2023

It also has strong querying capabilities, including a large number of operators and indexes that allow for quick data retrieval and analysis. Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. Spatial Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

MARCH 22, 2024

Interested in NoSQL databases? MongoDB Careers: Overview MongoDB is one of the leading NoSQL database solutions and generates a lot of demand for experts in different fields. During the era of big data and real-time analytics, businesses face challenges, and the need for skilled MongoDB professionals has grown to an order of magnitude.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

ProjectPro

JULY 30, 2021

Why Learn Cloud Computing Skills? The job market in cloud computing is growing every day at a rapid pace. A quick search on Linkedin shows there are over 30000 freshers jobs in Cloud Computing and over 60000 senior-level cloud computing job roles. What is Cloud Computing? Thus came in the picture, Cloud Computing.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

APRIL 25, 2023

Here, we'll take a look at the top data engineer tools in 2023 that are essential for data professionals to succeed in their roles. These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. What are Data Engineering Tools?

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Monte Carlo

JUNE 2, 2024

Databases and Data Warehousing: Engineers need in-depth knowledge of SQL (88%) and NoSQL databases (71%), as well as data warehousing solutions like Hadoop (61%). Cloud Platforms: Understanding cloud services from providers like AWS (mentioned in 80% of job postings), Azure (66%), and Google Cloud (56%) is crucial.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Monte Carlo

JUNE 2, 2024

Databases and Data Warehousing: Engineers need in-depth knowledge of SQL (88%) and NoSQL databases (71%), as well as data warehousing solutions like Hadoop (61%). Cloud Platforms: Understanding cloud services from providers like AWS (mentioned in 80% of job postings), Azure (66%), and Google Cloud (56%) is crucial.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. Data lakehouse architecture is an increasingly popular choice for many businesses because it supports interoperability between data lake formats.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. Data lakehouse architecture is an increasingly popular choice for many businesses because it supports interoperability between data lake formats.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Cloudera

NOVEMBER 23, 2021

It allows an authenticated and authorized user to exchange a set of credentials or a token for cloud vendor access tokens. CDP Operational Database Data Service. HBase is a column-oriented data storage architecture that is formed on top of HDFS to overcome its limitations. Apache HBase. References.

Database 89

Database Non-relational Database NoSQL Government 89

U-Next

AUGUST 17, 2022

Data is utilized in all facets of sales and results in life cycle analysis. Recent technological developments have had a significant influence on the vitality of data. Such innovations include open-source initiatives, Cloud Computing, and huge data expansion.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

Knowledge Hut

NOVEMBER 19, 2023

One of the most important responsibilities for experts in big data is configuring the cloud to store data and provide high availability. As a result, data engineers working with big data today require a basic grasp of cloud computing platforms and tools.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

AltexSoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Key Big Data characteristics. Data storage and processing. NoSQL databases.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Rockset

MAY 10, 2022

DynamoDB is a popular NoSQL database available in AWS. However, DynamoDB, like many other NoSQL databases, is great for scalable data storage and single row retrieval but leaves a lot to be desired when it comes to analytics. With SQL databases, analysts can quickly join, group and search across historical data sets.

NoSQL 52

NoSQL AWS MongoDB Datasets 52

Knowledge Hut

OCTOBER 3, 2023

Additionally, for a job in data engineering, candidates should have actual experience with distributed systems, data pipelines, and related database concepts. Recommended Training and Certification When you are searching for the training institute for DP-203 Data Engineering on Microsoft Azure keep a few things in mind.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

ProjectPro

JANUARY 24, 2023

With the global cloud data warehousing market likely to be worth $10.42 billion by 2026, cloud data warehousing is now more critical than ever. Cloud data warehouses offer significant benefits to organizations, including faster real-time insights, higher scalability, and lower overhead expenses.

Bytes 52

Bytes Google Cloud Data Warehouse Cloud Storage 52

Knowledge Hut

APRIL 24, 2024

Azure, Google Cloud, and Amazon AWS are the most preferred cloud service providers. With the help of.NET, you ensure a fast, functional, and scalable cloud application at hand. Not only that, mishandling data could affect your image as a developer. SQL, Oracle, and NoSQL are some tools that assist in that.

NoSQL 59

NoSQL Cloud AWS Google Cloud 59

AltexSoft

SEPTEMBER 21, 2023

In this edition of “The Good and The Bad” series, we’ll dig deep into Elasticsearch — breaking down its functionalities, advantages, and limitations to help you decide if it’s the right tool for your data-driven aspirations. What is Elasticsearch? It is developed in Java and built upon the highly reputable Apache Lucene library.

Engineering 52

Engineering NoSQL Programming Language Java 52

Edureka

JULY 4, 2024

It is a cloud-based service by Amazon Web Services (AWS) that simplifies processing large, distributed datasets using popular open-source frameworks, including Apache Hadoop and Spark. Let’s see what is AWS EMR, its features, benefits, and especially how it helps you unlock the power of your big data. What is EMR in AWS?

AWS 52

AWS Amazon Web Services Hadoop Big Data 52

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. Extract The initial stage of the ELT process is the extraction of data from various source systems. So, what exactly is ELT?

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

Cloudera

AUGUST 31, 2021

While this “data tsunami” may pose a new set of challenges, it also opens up opportunities for a wide variety of high value business intelligence (BI) and other analytics use cases that most companies are eager to deploy. . Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis.

Data Warehouse 80

Data Warehouse Database-centric Metadata Cloud 80

ProjectPro

AUGUST 11, 2021

It has to be built to support queries that can work with real-time, interactive and batch-formatted data. Insights from the system may be used to process the data in different ways. This layer should support both SQL and NoSQL queries. Even Excel sheets may be used for data analysis.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52