Knowledge Hut

APRIL 25, 2023

These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Rockset

MARCH 21, 2019

When we started Rockset, we envisioned building a powerful cloud data management system that was really easy to use. If you evaluate all cloud data services with this perspective, it is rare that any passes this litmus test, irrespective of what their marketing materials claim.

SQL 52

SQL Data Management Management Engineering 52

Rockset

MAY 24, 2021

Serverless computing (often just called "serverless") is a model where a cloud provider, like AWS, abstracts away the concept of servers from the user. In fact, the popularization of separating storage and compute for databases has allowed service providers the ability to offer serverless databases. What Is Serverless?

Database 40

Database Google Cloud AWS Cloud Storage 40

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

FEBRUARY 16, 2023

Despite the buzz surrounding NoSQL , Hadoop , and other big data technologies, SQL remains the most dominant language for data operations among all tech companies. If your database is cloud-based, using SQL to clean data is far more effective than scripting languages. data engineer, data scientist , data analyst, etc.)

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 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

Christophe Blefari

AUGUST 4, 2023

I want something cloud agnostic—when possible. FAQ and remarks Why do you use Google Cloud? My opinion on the matter is this: all clouds are born equal, you just have to find the one you're most comfortable with, or suffer your company's choices. I want to use open-source tooling.

Google Cloud 225

Google Cloud MongoDB NoSQL Data 225

DareData

JANUARY 30, 2023

Learning SQL / NoSQL and how major orchestrators work will definitely narrow the gap between the quality model training and model deployment. Azure Data Factory: A cloud-based data integration service offered by Microsoft. Examples of NoSQL databases include MongoDB or Cassandra.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Knowledge Hut

JULY 24, 2023

Get ready to discover fascinating insights, uncover mind-boggling facts, and explore the transformative potential of cutting-edge technologies like blockchain, cloud computing, and artificial intelligence. This makes it possible for businesses to profit from the cloud's scalability, flexibility, and cost-effectiveness.

Database 52

Database NoSQL Management Relational Database 52

Rockset

JUNE 7, 2021

Translating the commands from source to target can be tricky especially if you’re capturing changes to a SQL database and reflecting them in a NoSQL database, as the way commands are written are different. The system needs to deal with transactional systems where changes are only applied on commit.

IT 40

IT Kafka Database MongoDB 40

ProjectPro

AUGUST 11, 2021

This layer should support both SQL and NoSQL queries. Snowflake is your data lake and a data warehouse because it offers unlimited storage capaicty at economical pricing, convenience, and cloud scaling needed for a data lake and also provides security, governance, control, and performance like a data warehouse.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 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. What is Google BigQuery Used for?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Knowledge Hut

NOVEMBER 2, 2023

AWS or the Amazon Web Services is Amazon’s cloud computing platform that offers a mix of packaged software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). To advance your career in Cloud Computing, enroll in online Cloud training software course.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

Knowledge Hut

DECEMBER 27, 2023

Often stored in computer databases or the cloud and is analyzed using software specifically designed to handle large, complex data sets. This NoSQL, document-oriented database is written in C, C++, and JavaScript. Supports a cloud-based environment (works well with AWS). Integrates well with APIs and the cloud.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

AltexSoft

JULY 29, 2022

On top of HDFS, the Hadoop ecosystem provides HBase , a NoSQL database designed to host large tables, with billions of rows and millions of columns. They enable you to access the framework functionality in the cloud, typically charging fees per cluster/ per hour. MongoDB: an NoSQL database with additional features.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

JANUARY 19, 2022

Microsoft Azure is a modern cloud platform that offers businesses a wide range of services. These companies are migrating their data and servers from on-premises to Azure Cloud. The fundamental skills apply to any data engineer, regardless of the cloud platform. What does an Azure Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

AltexSoft

OCTOBER 21, 2022

A single cluster can span across multiple data centers and cloud facilities. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift. Depending on the type of deployment (cloud or on-premise), cluster size, and the number of integrations, the deployment may take days to weeks to even months.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

SEPTEMBER 6, 2021

Are you confused about choosing the best cloud platform for your next data engineering project ? AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Rockset

NOVEMBER 12, 2020

Elasticsearch is one tool to which reads can be offloaded, and, because both MongoDB and Elasticsearch are NoSQL in nature and offer similar document structure and data types, Elasticsearch can be a popular choice for this purpose. These backups can be performed on the file system or on cloud storage directly from the cluster.

MongoDB 40

MongoDB NoSQL Data Pipeline Data Storage 40

Confluent

SEPTEMBER 20, 2019

Cloud Memorystore, Amazon ElastiCache, and Azure Cache), applying this concept to a distributed streaming platform is fairly new. Before Confluent Cloud was announced , a managed service for Apache Kafka did not exist. Confluent Cloud for instance, allows the user to effectively start working with Apache Kafka in 90 seconds.

Kafka 21

Kafka Management Cloud AWS 21

Netflix Tech

DECEMBER 14, 2018

System Requirements Support for Structured Data The growth of NoSQL databases has broadly been accompanied with the trend of data “schemalessness” (e.g., NMDB leverages a cloud storage service (e.g., data access semantics that guarantee repeatable data read behavior for client applications.

Media 94

Media Database Metadata Data Schemas 94

AltexSoft

MAY 12, 2023

Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models. There are several widely used unstructured data storage solutions such as data lakes (e.g., Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage), NoSQL databases (e.g.,

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59