CTOvision

JULY 9, 2014

In the text below, I examine an on-premise Hadoop ecosystem as a general purpose Big Data solution in relation to alternative commercial purpose-built storage technologies (-e.g. The data is too big, moves too fast, or does not fit the structures of your database architectures. Oracle, Teradata, IBM, SAP, Microsoft, EMC, etc).

Big Data 114

Big Data Data CTO Fractional CTO 114

Altexsoft

JANUARY 14, 2021

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. For over 30 years, data warehouses have been a rich business-insights source. Data warehouse architecture. Is it still so?

Backup 115

Backup Azure Software Review Architecture 115

Datavail

JULY 27, 2021

Azure Cloud is the perfect site for many organizations to run their business intelligence and analytics workloads. Data backup and business continuity: Tools like Azure Backup are essential to protect the integrity and continuity of your business after data loss or disaster. Look for “quick wins”.

Azure 98

Azure Analytics Cloud Company 98

Mobilunity

NOVEMBER 24, 2021

In this article, we’ll discuss the role of an ETL engineer in data processing and why businesses need such experts nowadays. The growing number of data sources and the need for data storage and analysis require companies to conduct a meticulous collection, storage, and processing of information. Who Is an ETL Engineer?

Development 52

Development Storage Recruiting Architecture 52

Altexsoft

MARCH 31, 2020

And, as is common, to transform it before loading to another storage system. A data pipeline is a set of tools and activities for moving data from one system, with its method of data storage and processing, to another system in which it can be stored and managed differently. We’ll get back to the types of storages a bit later.

Data 76

Data Storage Analytics Data Center 76

Altexsoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Set up data storage technology. From here, you’ll have to take the next steps. No wonder only 0.5

Artificial Inteligence 52

Artificial Inteligence Machine Learning Data Systems Review 52

Cloudera

OCTOBER 25, 2022

The cloud data lakehouse brings multiple processing engines (SQL, Spark, and others) and modern analytical tools (ML, data engineering, and business intelligence) together in a unified analytical environment. It allows users to rapidly ingest data and run self-service analytics and machine learning. Data loss prevention.

Cloud 52

Cloud Data Firewall AWS 52

Altexsoft

OCTOBER 2, 2020

If your business generates tons of data and you’re looking for ways to organize it for storage and further use, you’re at the right place. Read the article to learn what components data management consists of and how to implement a data management strategy in your business. backups to prevent data loss.

Strategy 64

Strategy Database Administration Data Technical Review 64

Altexsoft

JUNE 20, 2019

Due to the integrated structure and data storage system, SQL databases don’t require much engineering effort to make them well-protected. Also, consider applying MySQL for the same reason if you’re building a business intelligence tool. For instance, GIS support suggests smooth coordinates storage and location data query.

Systems Review 85

Systems Review System Software Review Open Source 85

taos

OCTOBER 14, 2019

Data warehouses require many servers working together, high capacity and high-performance storage, adequately provisioned network connectivity, and often very specialized software. On the query side, Redshift supports JDBC/ODBC and will work well with existing business intelligence and reporting tools.

AWS 8

AWS Conference Hardware Storage 8

Altexsoft

SEPTEMBER 19, 2019

Then to move data to single storage, explore and visualize it, defining interconnections between events and data points. That’s what business intelligence (BI) is about. What is business intelligence and what tools does it need? What is business intelligence and what tools does it need?

Business Intelligence 13

Business Intelligence Tools Data Azure 13