UruIT

MARCH 25, 2020

Usually, big data applications are one of two types: data at rest and data in motion. For this reason, data at rest applications are often referred to as a data lake while data in motion applications are called data streams or data rivers. . Fun Fact . Hadoop and big data platforms.

Big Data 120

Big Data Applications Data Technical Review 120

UruIT

MARCH 25, 2020

Usually, big data applications are one of two types: data at rest and data in motion. For this reason, data at rest applications are often referred to as a data lake while data in motion applications are called data streams or data rivers. . Fun Fact . Hadoop and big data platforms.

Big Data 94

Big Data Applications Data Technical Review 94

Cloudera

NOVEMBER 23, 2021

What is Cloudera Operational Database (COD)? Operational Database is a relational and non-relational database built on Apache HBase and is designed to support OLTP applications, which use big data. The operational database in Cloudera Data Platform has the following components: .

Data 89

Data Scalability Government Authentication 89

UruIT

MARCH 25, 2020

Usually, big data applications are one of two types: data at rest and data in motion. For this reason, data at rest applications are often referred to as a data lake while data in motion applications are called data streams or data rivers. . Fun Fact . Hadoop and big data platforms.

Big Data 52

Big Data Applications Data Technical Review 52

Cloudera

JANUARY 19, 2021

Cloudera Flow Management , based on Apache NiFi and part of the Cloudera DataFlow platform , is used by some of the largest organizations in the world to facilitate an easy-to-use, powerful, and reliable way to distribute and process data at high velocity in the modern big data ecosystem. Flow Development . DataFlow Processor.

Continuous Delivery 65

Continuous Delivery Systems Review Software Review Groups 65

Cloudera

DECEMBER 15, 2020

We’re excited to share that after adding ANSI SQL, secondary indices, star schema, and view capabilities to Cloudera’s Operational Database , we will be introducing distributed transaction support in the coming months. . The ACID model of database design is one of the most important concepts in databases.

Weak Development Team 66

Weak Development Team Scalability Applications Testing 66

Cloudera

SEPTEMBER 15, 2022

Apache Ozone is a distributed, scalable, and high-performance object store , available with Cloudera Data Platform (CDP), that can scale to billions of objects of varying sizes. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. Bucket types.

Storage 87

Storage System Artificial Inteligence Big Data 87

Altexsoft

JULY 29, 2022

Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. According to the study by the Business Application Research Center (BARC), Hadoop found intensive use as. Hadoop Yarn: a bridge between HDFS and Big Data applications.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

OCTOBER 21, 2022

The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies. But to understand why Kafka is omnipresent we have to look at how it works — in other words, to get familiar with its concepts and architecture.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

SEPTEMBER 23, 2021

This article explains the main concepts of a data hub, its architecture, and how it differs from data warehouses and data lakes. A data hub serves as a single point of access for all data consumers, whether it be an application, a data scientist, or a business user. Data warehouse vs data lake vs data hub comparison table.

Architecture 52

Architecture Data Storage IoT 52

Altexsoft

OCTOBER 2, 2020

Data modelers work closely with stakeholders to find out what data is useful for the company and build basic data entities (models) representing the core business concepts (for example, products and customers), their key attributes, and relationships between them. Database administration: maintaining data availability.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Cloudera

JUNE 16, 2022

Organizations are increasingly building low-latency, data-driven applications, automations, and intelligence from real-time data streams. Cloudera Stream Processing (CSP) enables customers to turn streams into data products by providing capabilities to analyze streaming data for complex patterns and gain actionable intel.

Data 85

Data Disaster Recovery Analytics Microservices 85

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Data and Metadata: Data inputs and data outputs produced based on the application logic. Introduction.

Architecture 123

Architecture Data Security Technical Review 123