Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads.

Strategy 95

Strategy Data Technical Review Weak Development Team 95

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. How data engineering works in a nutshell.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Agile Engine

APRIL 2, 2024

Typical roles you’ll find on dedicated teams include: Application developers Quality assurance experts and software testers UI/UX designers AI and data engineers Project managers Other specialized experts tailored to your project’s specific needs When are dedicated teams a good idea for your company?

UI/UX 52

UI/UX Development Software Development Quality Assurance 52

Altexsoft

APRIL 26, 2022

With the consistent rise in data volume, variety, and velocity, organizations started seeking special solutions to store and process the information tsunami. This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance. Data warehousing in a nutshell.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

MARCH 18, 2021

This includes Apache Hadoop , an open-source software that was initially created to continuously ingest data from different sources, no matter its type. Cloud data warehouses such as Snowflake, Redshift, and BigQuery also support ELT, as they separate storage and compute resources and are highly scalable.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Altexsoft

FEBRUARY 8, 2021

Machine learning techniques analyze big data from various sources, identify hidden patterns and unobvious relationships between variables, and create complex models that can be retrained to automatically adapt to changing conditions. Comparison between traditional and machine learning approaches to demand forecasting.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

OCTOBER 8, 2021

Not to mention that they require a decent level of expertise to develop, deploy, and maintain data integration flows. Now that you have a general picture of what data integration tools are, let’s move to the comparison of popular vendors. How to choose data integration software: key comparison criteria.

Tools 52

Tools Data Software Review Open Source 52

Altexsoft

DECEMBER 14, 2022

While you definitely saw the Docker vs Kubernetes comparison, these two systems cannot be compared directly. Docker architecture core components. Docker Architecture. Docker uses a client-server architecture where the Docker client communicates with the Docker daemon via a RESTful API, UNIX sockets, or a network interface.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Altexsoft

OCTOBER 2, 2020

Key disciplines and roles in data management. Data architecture: aligning technologies with business goals. Specialist responsible for the area: data architect. Data architecture is a starting point for any data management model. It’s very important to create a comprehensive data governance policy.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

MAY 14, 2021

On top of that, new technologies are constantly being developed to store and process Big Data allowing data engineers to discover more efficient ways to integrate and use that data. You may also want to watch our video about data engineering: A short video explaining how data engineering works.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

SEPTEMBER 20, 2019

Depending on the type of logical connection and data itself, visualization can be done in a suitable format. So it’s dead simple, any analytical report contains examples of data interpretations like pie charts, comparison bars, demographic maps, and many more. Data visualization tools and libraries.

Business Intelligence 18

Business Intelligence Tools Data Analytics 18

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. CRM platforms).

Scalability 89

Scalability Technical Review Data Analytics 89

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Cloudera

MAY 18, 2021

The framework that I built for that comparison includes three dimensions: Technology cost rationalization by converting a fixed, cost structure associated with Cloudera subscription costs per node into a variable cost model based on actual consumption. data streaming, data engineering, data warehousing etc.),

Cloud 83

Cloud Technical Review Storage Backup 83