Cloudera

DECEMBER 10, 2020

Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. Appealing directly to end-users in the Lines of Business (LOBs), these solutions can dramatically shorten time to value, lower administrative burdens, and promise continuous agility in response to changing business demands.

Data 98

Data Technical Review Storage Systems Review 98

CTOvision

JULY 9, 2014

The data is too big, moves too fast, or does not fit the structures of your database architectures. However, massively parallel processing (MPP) database architectures are one example of purpose-built technologies that have been developed to support both OLTP and OLAP data structures at enormous scales up into the petabytes (PB).

Big Data 114

Big Data Data CTO Fractional CTO 114

Altexsoft

JANUARY 14, 2021

We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies.

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.

Azure 98

Azure Analytics Cloud Company 98

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. Security function isolation. Cloud security functions should be assigned to experienced security administrators.

Cloud 52

Cloud Data Firewall AWS 52

Mobilunity

NOVEMBER 24, 2021

An ELT developer can also work on the backup and recovery procedures in case of loading failure. Extracting, collecting, and analyzing big data is vital for making major business decisions. Extracting, collecting, and analyzing big data is vital for making major business decisions. Develop a DWH architecture and administration.

Development 52

Development Storage Recruiting Architecture 52

Altexsoft

MARCH 31, 2020

Tooling and infrastructure options depend on many factors, such as organization size and industry, data volumes, use cases for data, budget, security requirements, etc. Since the main users are business professionals, a common use case for data warehouses is business intelligence. Traditional analytics.

Data 76

Data Storage Analytics Data Center 76

Flexagon

FEBRUARY 7, 2023

And while EBS can handle a large global business’s diverse needs, that very complexity makes maintenance and development a challenge. Newer features for analytics and business intelligence add to the mix. All these customizations can result in an inflexible architecture —the problem that FlexDeploy is designed to solve.

DevOps 78

DevOps Software Review Testing Continuous Integration 78

Datavail

NOVEMBER 10, 2020

Today, most business leaders know that leveraging data drives business results. Maintaining, organizing, and securing data is becoming more difficult, but it is also more important than ever before. The best firms provide a wide range of database consulting services, depending on your needs.

Database Administration 52

Database Administration Company Backup System 52

Altexsoft

OCTOBER 2, 2020

Data architecture: aligning technologies with business goals. Data architecture is a starting point for any data management model. Fitting into wider enterprise architecture, it outlines how data is collected, integrated, transformed, stored, and used. Data analytics and business intelligence: drawing insights from data.

Strategy 64

Strategy Database Administration Data Technical Review 64

Altexsoft

JUNE 20, 2019

Also, consider applying MySQL for the same reason if you’re building a business intelligence tool. In addition to internal security and password check, MariaDB provides such features as PAM and LDAP authentication, Kerberos, and user roles. At the same time, it keeps focusing on information security. Encryption.

Systems Review 85

Systems Review System Software Review Open Source 85

taos

OCTOBER 14, 2019

On the query side, Redshift supports JDBC/ODBC and will work well with existing business intelligence and reporting tools. As in RDS, Amazon takes care of all maintenance and monitoring activities including backup. It was beta-tested with large customers for quite some time before being released to the public.

AWS 8

AWS Conference Hardware Storage 8

Altexsoft

SEPTEMBER 19, 2019

That’s what business intelligence (BI) is about. What is business intelligence and what tools does it need? Business intelligence is a process of accessing, collecting, transforming, and analyzing data to reveal knowledge about company performance. Snowflake architecture and capabilities.

Business Intelligence 13

Business Intelligence Tools Data Azure 13