Kaseya

NOVEMBER 9, 2023

With the cloud, users and organizations can access the same files and applications from almost any device since the computing and storage take place on servers in a data center instead of locally on the user device or in-house servers. It enables organizations to operate efficiently without needing any extensive internal infrastructure.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

The Crazy Programmer

MAY 12, 2021

Choosing the right data storage solution will depend greatly on how the data is going to be used. Data lakes work great to store historical data and support compliance. Here are some examples: Healthcare: Data lakes help healthcare organizations to comply with regulations on data storage and privacy.

Data 162

Data Healthcare IoT Pharmaceuticals 162

Hu's Place - HitachiVantara

APRIL 12, 2018

The key requirements for Data Center Modernization are an agile data infrastructure that is cloud aware and container integrated, data governance which ensures that data is continuously available and adheres to compliance objectives, operation intelligence to provide deeper insights, and automation to optimize and accelerate innovation.

Data Center 40

Data Center Storage Data Compliance 40

Sunflower Lab

MARCH 18, 2024

Enabling Financial Leaders to Propel Success with Power BI Service Why do people and leading companies across the industries continue to choose and utilize Power BI service for thier business intelligence? Need to discover a one-shot to data success? Choose Power BI dashboard development with our experts.

Banking 52

Banking Compliance Technical Review Business Intelligence 52

Datavail

SEPTEMBER 15, 2022

Business intelligence (BI) refers to collecting and analyzing data produced by your operations. Analyzing business data allows you to identify insights that will support business decisions that produce growth. Today, business decisions aren’t made based on theories or the instincts of highly experienced employees.

Government 40

Government Data Business Intelligence Compliance 40

CIO

SEPTEMBER 22, 2023

The platform’s data collection, storage, scalability, and processing capabilities will also weigh heavily in making your choice. First would be the DMP’s ability to integrate with other systems in your data stack, including CMSes, CRMs, analytics tools, and advertising platforms.

Data 260

Data Advertising Report Performance 260

Perficient

FEBRUARY 16, 2023

The Data Catalog serves as an inventory of available data and provides information to evaluate the usefulness and quality of data to answer business questions and make better business decisions. Data Catalogs have become the standard for metadata management in the age of big data and self-service business intelligence.

Data 110

Data Google Cloud Analytics Cloud 110

Altexsoft

MARCH 18, 2021

From the late 1980s, when data warehouses came into view, and up to the mid-2000s, ETL was the main method used in creating data warehouses to support business intelligence (BI). 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

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Architecture 52

Architecture Data Storage Machine Learning 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.

Cloud 52

Cloud Data Firewall AWS 52

Altexsoft

NOVEMBER 10, 2021

In a nutshell, the lakehouse system leverages low-cost storage to keep large volumes of data in its raw formats just like data lakes. This enables different teams to use a single system to access all of the enterprise data for a range of projects, including data science, machine learning, and business intelligence. Data lake.

Architecture 52

Architecture Data Storage Machine Learning 52

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Cloud storage functions by allowing users to access and download data on any selected device, such as a laptop, tablet, or smartphone, via an Internet service connection. Public cloud.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Openxcell

NOVEMBER 1, 2023

e) Assists in ensuring compliance with regulations. This justifies that EAM is a comprehensive CMMS that integrates inventory, purchasing, document, accounting, and business intelligence, offering a significant ROI that outweighs the initial cost for business growth. What’s the difference between CMMS vs EAM ?

Enterprise 52

Enterprise Software Retail Software Development 52

Sunflower Lab

MARCH 13, 2024

Warehouse Capacity Dashboard : The Warehouse Capacity Dashboard tracks warehouse capacity utilization, storage space availability, and warehouse throughput. SMBs can monitor warehouse occupancy rates, assess storage space utilization, and identify areas for optimization to maximize warehouse efficiency.

Transportation 52

Transportation Weak Development Team Metrics Healthcare 52

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

Xebia

JANUARY 19, 2023

– Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. This means knowing the trade-offs with design patterns, technologies, and tools in source systems, ingestion, storage, transformation, and serving data.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Cloudera

AUGUST 30, 2022

Agencies are plagued by a wide range of data formats and storage environments—legacy systems, databases, on-premises applications, citizen access portals, innumerable sensors and devices, and more—that all contribute to a siloed ecosystem and the data management challenge. . Disparate systems create issues with transparency and compliance.

Architecture 78

Architecture Data Artificial Inteligence Artificial Intelligence 78

Tandem

AUGUST 9, 2023

When investing in tools and technologies for data management and analytics, you should consider a range of solutions that cover data integration, data storage, data analysis, and data visualization. Data Storage and Management Systems: These systems are used for storing, retrieving, and managing data.

Data 52

Data Culture Analysis Machine Learning 52

Openxcell

OCTOBER 26, 2023

An enterprise data warehouse often accommodates many APIs such as Business Intelligence tools, ETL tools, data ingestion, and analytics tools. Another use for an EDW is predictive analytics, where teams may utilize scenario modeling and data-driven forecasting to assist marketing and business decisions.

Enterprise 52

Enterprise Data Technical Review Analytics 52

Altexsoft

DECEMBER 17, 2019

In the business sphere, a certain area of technology aims at helping people make the right decisions, by supporting them with the right data. This field is called business intelligence or BI. Business intelligence includes multiple hardware and software units that serve the same idea: take data and show it to the right people.

Business Intelligence 19

Business Intelligence Weak Development Team Systems Review Software Review 19

Cloudera

JUNE 30, 2022

Time travel with point-in-time queries for forensic visibility and regulatory compliance capabilities . With frequent updates to our data lake, we aim to accelerate reporting and business intelligence, giving our business teams access to current insights. We selected change data capture as our first use case on Iceberg.

Data 86

Data Analytics Machine Learning Artificial Inteligence 86

Cloudera

JANUARY 21, 2021

Waiting in line in the Central IT queue and risk getting behind in your business and losing out to competition as a result? . Separate storage. Cloudera’s Data Warehouse service allows raw data to be stored in the cloud storage of your choice (S3, ADLSg2). Yes there is a better choice!

Analytics 93

Analytics Storage Technical Review Virtualization 93

Apps Associates

JULY 14, 2023

The scope includes global instances of E-Business Suite, Hyperion, Oracle BI, Advanced Supply Chain, Governance Risk Compliance, SSO and many custom applications and third-party integrated systems. This ERP environment was not only complex but supported the majority of global revenue for Pearson.

Disaster Recovery 52

Disaster Recovery Cloud AWS Backup 52

Sunflower Lab

OCTOBER 2, 2023

The Azure Synapse connector allows you to connect Databricks to Azure Synapse, that utilizes the “COPY” statement to transfer huge quantities of data quickly between a Databricks cluster and an Azure Synapse instance while briefly staging it in an Azure Synapse Data Lake Storage Gen2 storage account.

Azure 40

Azure Analytics UI/UX Software Review 40

Perficient

FEBRUARY 28, 2023

As an additional benefit, combining the data from multiple operating companies has allowed the organization to enhance its data governance capabilities and program, and help ensure data is being managed and protected from a HIPAA and HiTrust compliance perspective.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

O'Reilly Media - Data

JULY 23, 2018

Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics. The good news is that there are new privacy-preserving tools and techniques —including differential privacy—that are becoming available for both business intelligence and ML applications.

Machine Learning 118

Machine Learning Artificial Inteligence How To Case Study 118

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. Is it still so?

Backup 115

Backup Azure Software Review Systems Review 115

Altexsoft

MARCH 14, 2023

Data storage The tools mentioned in the previous section are instrumental in moving data to a centralized location for storage, usually, a cloud data warehouse, although data lakes are also a popular option. Data storage component in a modern data stack. Data use component in a modern data stack.

Data 59

Data Technical Review Software Review Artificial Inteligence 59

Altexsoft

OCTOBER 27, 2022

inland transportation from origin and/or to destination, goods storage, preparation of customs and other documentation, freight consolidation and deconsolidation, container tracking, insurance services, import customs clearance, and so on. storage, documentation, packing, inland haulage), and typically act on behalf of shippers.

Technical Review 52

Technical Review Technology Transportation Software Review 52

Sunflower Lab

MARCH 21, 2024

Contract Compliance: Monitors compliance with contract terms and agreements to ensure that purchasing activities align with negotiated terms and pricing. Trend Analysis: Identifies spending trends over time, allowing businesses to forecast future expenditures and make informed budgeting decisions.

Budget 52

Budget Comparison Metrics Analysis 52

Altexsoft

MARCH 30, 2023

The relatively new storage architecture powering Databricks is called a data lakehouse. This way, Delta Lake brings warehouse features to cloud object storage — an architecture for handling large amounts of unstructured data in the cloud. Databricks lakehouse platform architecture. Delta Lake integrations.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

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

Datavail

SEPTEMBER 28, 2022

Simplifying regulatory compliance: 40%. Looking at that list of benefits, you can see why so many businesses are focusing on accelerating data-driven decision making. Data mesh uses a concept that gives responsibility for data management to the business domains in your organization. Improving sales: 44%. Reducing risks: 39%.

Data 40

Data Business Intelligence Government Analytics 40

Altexsoft

MAY 6, 2022

When ice cream melts in your hands on a hot day, it can be a bit frustrating; but if a load of vaccines can’t be used because it went bad due to wrong storage or transportation conditions, the results are a lot more serious, if not fatal. So, it’s important that all the parties of supply chains (3PLs, carriers, storage facilities, etc.)

Transportation 52

Transportation How To Pharmaceuticals Storage 52

Apps Associates

APRIL 20, 2022

The scope includes global instances of E-Business Suite, Hyperion, Oracle BI, Advanced Supply Chain, Governance Risk Compliance, SSO and many custom applications and third-party integrated systems. This ERP environment was not only complex but supported the majority of global revenue for Pearson.

Disaster Recovery 52

Disaster Recovery Cloud AWS Organization 52

Datavail

MARCH 10, 2022

Data governance steering committee – business executives and representatives of data owners/operators who approve/govern DG policies and internal DG regulations and strategies. Incorrect data affects the quality of any analytics or business intelligence (BI) insights and reports gleaned from the data.

Government 40

Government Strategy Weak Development Team Company 40

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87