DareData

JANUARY 30, 2023

For data scientists, these skills are extremely helpful when it comes to manage and build more optimized data transformation processes, helping models achieve better speed and relability when set in production. AWS Glue: A fully managed data orchestrator service offered by Amazon Web Services (AWS).

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 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.

Database 52

Database NoSQL MongoDB Telecommunication 52

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?

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

Rockset

JANUARY 5, 2022

While it ensured data integrity, the distributed two-phase lock added a massive delay to SQL database writes — so massive that it inspired the rise of NoSQL databases optimized for fast data writes, such as HBase, Couchbase, and Cassandra. Cutting-edge SQL databases can deliver real-time analytics using the freshest data.

Database 52

Database SQL NoSQL Raw Data 52

U-Next

AUGUST 17, 2022

Data Engineer roles and responsibilities have certain important components, such as: Refining the software development process using industry standards. Identifying and fixing data security flaws to shield the company from intrusions. Employing data integration technologies to get data from a single domain.

Data Engineer 52

Data Engineer Data Engineering Database-centric Pipeline-centric 52

Hevo

APRIL 30, 2024

MongoDB is a popular NoSQL database that requires data to be modeled in JSON format. If your application’s data model has a natural fit to MongoDB’s recommended data model, it can provide good performance, flexibility, and scalability for transaction types of workloads.

MongoDB 52

MongoDB NoSQL Database Data 52

Rockset

APRIL 29, 2019

DynamoDB has been one of the most popular NoSQL databases in the cloud since its introduction in 2012. While NoSQL databases like DynamoDB generally have excellent scaling characteristics, they support only a limited set of operations that are focused on online transaction processing.

NoSQL 52

NoSQL PostgreSQL AWS SQL 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?

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Rockset

DECEMBER 17, 2021

As a key-value NoSQL database, storing and retrieving individual records are its bread and butter. James is the CEO and Founder of Omnata , a tech startup building data integration for the modern data stack. For those unfamiliar, DynamoDB makes database scalability a breeze, but with some major caveats.

SQL 52

SQL NoSQL Database Design Metadata 52

Knowledge Hut

APRIL 23, 2024

Unlike big data warehouse, big data focuses on processing and analyzing data in its raw and unstructured form. It employs technologies such as Apache Hadoop, Apache Spark, and NoSQL databases to handle the immense scale and complexity of big data. Big Data platforms also store data in a non-volatile manner.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

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

Knowledge Hut

APRIL 25, 2023

Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases. Data modeling: Data engineers should be able to design and develop data models that help represent complex data structures effectively.

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

AltexSoft

MAY 12, 2023

A loose schema allows for some data structure flexibility while maintaining a general organization. Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models. MongoDB, Cassandra), and big data processing frameworks (e.g.,

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Striim

SEPTEMBER 11, 2024

Are we going to be using intermediate data stores to store data as it flows to the destination? Are we collecting data from the origin in predefined batches or in real time? Step 4: Design the data processing plan Once data is ingested, it must be processed and transformed for it to be valuable to downstream systems.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Cloudera

AUGUST 31, 2021

The client decided to migrate away from their relational database-centric Enterprise Data Warehouse as an ingestion and data processing platform after the maintenance costs, limited flexibility, and growth of the RDBMS platform became unsustainable with the increased complexity of the client’s data footprint. Value Achieved.

Data Warehouse 82

Data Warehouse Database-centric Metadata Cloud 82

Monte Carlo

JANUARY 5, 2024

Ingestion layer The ingestion layer in data lakehouse architecture extracts data from various sources, including transactional and relational databases, APIs, real-time data streams, CRM applications, NoSQL databases, and more, and brings them into the data lake.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Ingestion layer The ingestion layer in data lakehouse architecture extracts data from various sources, including transactional and relational databases, APIs, real-time data streams, CRM applications, NoSQL databases, and more, and brings them into the data lake.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

AltexSoft

OCTOBER 30, 2021

Building and maintaining the Extract, Transform, and Load (ETL) process as well as integrating it with the BI platform is a data engineer’s direct responsibility, so they must know data integration technologies such as Talend, Hadoop, Oracle, Informatica, and others. Data warehousing.

Data Engineer 98

Data Engineer Data Engineering Engineering Machine Learning 98

AltexSoft

JUNE 26, 2023

Read our article on Hotel Data Management to have a full picture of what information can be collected to boost revenue and customer satisfaction in hospitality. While all three are about data acquisition, they have distinct differences. Data integration , on the other hand, happens later in the data management flow.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

NOVEMBER 23, 2021

Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. 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.

Process 69

Process Data Lake Metadata Data Warehouse 69

Netflix Tech

SEPTEMBER 18, 2024

Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability. These complex APIs require careful consideration to ensure predictable linear low-latency and we will share details on their implementation in a future post.

Bytes 107

Bytes Metadata Database Data 107

Edureka

OCTOBER 10, 2024

Azure Data Factory (ADF) and Azure Synapse Analytics are some of the instrumental tools used when it comes to data integration and data transformation. Another element that can be identified in both services is the copy operation, with the help of which data can be transferred between different systems and formats.

MongoDB 40

MongoDB NoSQL Metadata Datasets 40

Ascend.io

NOVEMBER 21, 2023

More importantly, we will contextualize ELT in the current scenario, where data is perpetually in motion, and the boundaries of innovation are constantly being redrawn. Extract The initial stage of the ELT process is the extraction of data from various source systems. What Is ELT? So, what exactly is ELT?

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Databand.ai

AUGUST 30, 2023

In a DataOps architecture, it’s crucial to have an efficient and scalable data ingestion process that can handle data from diverse sources and formats. This requires implementing robust data integration tools and practices, such as data validation, data cleansing, and metadata management.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Knowledge Hut

SEPTEMBER 25, 2023

As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. You will be in charge of creating and maintaining data pipelines, data storage solutions, data processing, and data integration to enable data-driven decision-making inside a company.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Lake 52

Hevo

MAY 10, 2024

Being a cross-platform document-first NoSQL database program, MongoDB operates on JSON-like documents. Using JDBC, you can seamlessly access any data source from any relational database in spreadsheet format or a flat file.

MongoDB 40

MongoDB NoSQL Relational Database Java 40

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

APRIL 1, 2016

eWeek.com Syncsort has made it easy for mainframe data to work in Hadoop and Spark by upgrading its DMX-h data integration software. Syncsort has delivered this because some of the companies in industries like financial services, banking, and insurance needed to maintain their mainframe data in native format.

Hadoop 52

Hadoop BI Big Data Big Data Tools 52

Rockset

OCTOBER 4, 2023

Elasticsearch is a popular technology for efficient and scalable data storage and retrieval. However, maintaining its performance and data integrity requires a crucial practice called reindexing. Understanding Elasticsearch reindexing In Elasticsearch, reindexing helps maintain data integrity and increase performance.

NoSQL 59

NoSQL Datasets Data Integration Data Storage 59

Monte Carlo

NOVEMBER 20, 2023

But as businesses pivot and technologies advance, data migrations are—regrettably—unavoidable. Much like a chess grandmaster contemplating his next play, data migrations are a strategic move. A good data storage migration ensures data integrity, platform compatibility, and future relevance.

MongoDB 52

MongoDB ETL Tools Database Data 52

AltexSoft

FEBRUARY 11, 2023

Sample of a high-level data architecture blueprint for Azure BI programs. Source: Pragmatic Works This specialist also oversees the deployment of the proposed framework as well as data migration and data integration processes.

Data Architect 87

Data Architect Certification Generalist Big Data 87

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. You maintain the data integrity, security, and performance by monitoring, optimizing, and troubleshooting database operations. Let’s get started.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

Monte Carlo

JUNE 2, 2024

For a deep dive into these practices, see our guide on Data Observability For Dummies®. Data Infrastructure Engineers also implement governance and quality frameworks to maintain data integrity and consistency. They design scalable database schemas and optimize database performance, testing them often.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Monte Carlo

JUNE 2, 2024

For a deep dive into these practices, see our guide on Data Observability For Dummies®. Data Infrastructure Engineers also implement governance and quality frameworks to maintain data integrity and consistency. They design scalable database schemas and optimize database performance, testing them often.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Knowledge Hut

MARCH 27, 2024

Primarily used for organizing and optimizing data to perform specific operations within a program efficiently. Relationships Allows the establishment of relationships between different tables, supporting data integrity and normalization. Supports complex query relationships and ensures data integrity.

Database 52

Database Relational Database Algorithm Data Storage 52

Knowledge Hut

NOVEMBER 19, 2023

Top 10 Azure Data Engineer Tools I have compiled a list of the most useful Azure Data Engineer Tools here, please find them below. Azure Data Factory Azure Data Factory is a cloud ETL tool for scale-out serverless data integration and data transformation.

Data Engineer 52

Data Engineer Data Engineering Engineering PostgreSQL 52

Silectis

JANUARY 3, 2021

Data Ingestion The process by which data is moved from one or more sources into a storage destination where it can be put into a data pipeline and transformed for later analysis or modeling. Data Integration Combining data from various, disparate sources into one unified view.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40