Altexsoft

JANUARY 22, 2020

Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. A complete guide to business intelligence and analytics. The role of business intelligence developer.

Analytics 20

Analytics Data IoT Analysis 20

Altexsoft

MAY 20, 2020

These hardware components cache and preprocess real-time data, reducing the burden on central storages and main processors. The transport layer is responsible for smooth and secure data transmission from a perception to processing layer. Backed by the public cloud leader, this IoT platform has users across 190 countries.

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

APRIL 16, 2021

Namely, we’ll explain what functions it can perform, and how to use it for data analysis. As the topic is closely related to business intelligence (BI) and data warehousing (DW), we suggest you to get familiar with general terms first: A guide to business intelligence. An overview of data warehouse types.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. The data journey from different source systems to a warehouse commonly happens in two ways — ETL and ELT.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

JANUARY 14, 2021

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. Is it still so?

Backup 115

Backup Azure Software Review Systems Review 115

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. Cloudera , focusing on Big Data analytics. Kafka topic and partition.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

FEBRUARY 24, 2023

For testing purposes, a cluster may have a single node but on average it uses five nodes with 16 to 32 GB of memory each in the public clouds and nine nodes with 32 to 64 GB when deployed on-premises Components of a Kubernetes cluster. Getting Started With Google Kubernetes Engine (GKE) on Coursera.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Existek

JANUARY 27, 2023

Digital wallets are electronic versions of physical wallets to store credit card information, debit card information, and other sensitive data. Digital wallets also have additional features such as loyalty card storage, gift card management, and cashless payments.

Software Development 52

Software Development Trends Technology Software 52

Altexsoft

SEPTEMBER 21, 2023

Elasticsearch supports machine learning algorithms that can automatically model and analyze the behavior of your data in real time, providing valuable insights and predictions. Business workflow automation. Each document has unique metadata fields like index , type , and id that help identify its storage location and nature.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Datavail

JULY 31, 2019

Big data software companies that used to run their applications on Hadoop are now switching to Kubernetes. What’s behind the recent move from Hadoop to Kubernetes, and where is the big data landscape going in the future? Platforms like Hadoop were created during and for a different era in big data.

Development 8

Development Big Data Open Source Google Cloud 8

Altexsoft

MARCH 30, 2023

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. The relatively new storage architecture powering Databricks is called a data lakehouse. Databricks lakehouse platform architecture.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64