CIO

MARCH 21, 2022

Finance: Data on accounts, credit and debit transactions, and similar financial data are vital to a functioning business. But for data scientists in the finance industry, security and compliance, including fraud detection, are also major concerns. Data scientist skills. What does a data scientist do?

Analytics 205

Analytics Data Technical Review Analysis 205

CIO

AUGUST 18, 2022

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We With the advent of big data, a second system of insight, the data lake, appeared to serve up artificial intelligence and machine learning (AI/ML) insights. The lakehouse as best practice.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

CTOvision

FEBRUARY 20, 2015

For more information on the Informatica''s Intelligent Data Platform, read about what it is like in action on this page ! Informatica provides many other capabilities worth note, including cloud integration and data management capabilities that work with providers like Microsoft Azure and Amazon Web Services (including Redshift).

Data 105

Data Company Innovation Big Data 105

Coforge

JULY 28, 2021

The Benefits of Integrating SAP Data With Azure Synapse Analytics. The Complications Of Analyzing SAP Data. For modern enterprises in 2021, it’s a challenge to find a cost-efficient, feasible out of box integration with non-SAP data for analytics. Breaking Down Data Silos With Azure Synapse.

Azure 52

Azure Analytics Data Artificial Inteligence 52

Sunflower Lab

OCTOBER 2, 2023

With that confidence and capability, we continue to profess only the best practices in the business arena so that it would not only give an edge over your competitor but also puts you well ahead of everyone in the industry. Data Integration in Azure Synapse Various tools can be used to input data into Synapse.

Azure 40

Azure Analytics UI/UX Software Review 40

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

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

Apps Associates

MAY 18, 2021

Performing analytics on the data was possible but took a long time and was mostly done in batch (using map reduce routines written in Java). Although on-premises Hadoop clusters ushered in the era of Big Data and supported data use cases that previously were not possible, many of these systems proved to be costly and cumbersome to maintain.

Cloud 98

Cloud Data Azure Analytics 98

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

Altexsoft

JANUARY 14, 2021

It is usually created and used primarily for data reporting and analysis purposes. 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. Data loading.

Backup 115

Backup Azure Software Review Architecture 115

CTOvision

JULY 28, 2016

At Hadoop Summit in San Jose on Tuesday, June 28, 2016, Hortonworks announced a new release of its Hortonworks Data Platform (HDP) Hadoop distribution, version 2.5, as well as an expansion of its Partnerworks program and a new partnership with AtScale , provider of a self-service Business Intelligence (BI) platform for Hadoop.

Government 61

Government Data Big Data Azure 61

ParkMyCloud

MAY 29, 2019

In addition, they also have a strong knowledge of cloud services such as AWS, Google or Azure, with experience on ITSM, I&O, governance, automation, and vendor management. Business Intelligence Analyst. BI Analyst can also be described as BI Developers, BI Managers, and Big Data Engineer or Data Scientist.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Altexsoft

MARCH 30, 2023

To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. The lakehouse platform was founded by the creators of Apache Spark , a processing engine for big data workloads. The platform can become a pillar of a modern data stack , especially for large-scale companies.

Weak Development Team 64

Weak Development Team Artificial Inteligence Machine Learning Software Review 64

Datavail

MARCH 4, 2021

Microsoft’s Power BI software for business intelligence and analytics is used by thousands of organizations around the world to uncover hidden insights and make smarter, data-driven decisions. A unified BI platform that acts as the organization’s one-stop shop for both self-service and centralized analytics.

Performance 52

Performance Azure Analytics Artificial Inteligence 52

Gorilla Logic

MAY 19, 2021

Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Skill shortages can delay project kickoffs and delivery.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective. Check out this list below to see some of them in action: Comcast.

Enterprise 50

Enterprise Cloud Data Healthcare 50

Datavail

JULY 7, 2022

Meanwhile, in an informal survey of attendees at a recent Datavail webinar, the majority (75 percent) of attendees said that their organization was pursuing a “hybrid” (partly on-premises and partly in the cloud) strategy for business intelligence and analytics. High data volumes.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 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

FEBRUARY 26, 2020

Choosing analytical software is no less challenging than data analysis itself. The market of business intelligence (BI) does give you a choice. It’s more about the platform and the ecosystem your data will be in. Data sharing. But the right choice is never in just one instrument. Source integration.

Tools 116

Tools Analytics Mobile Enterprise 116

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.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Altexsoft

DECEMBER 14, 2020

Developed by Microsoft, SQL Server is a reliable and functional relational database management system that makes it possible to store and retrieve data as per requests of other software applications. It helps with structuring unstructured data and then exporting this data to relational databases. Microsoft Azure.

Data 93

Data Artificial Inteligence Storage Analytics 93

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Microsoft Azure.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Altexsoft

OCTOBER 2, 2020

Data analytics and business intelligence: drawing insights from data. Specialist responsible for the area: data analyst, business intelligence analyst, data scientist, marketing analyst. Business intelligence uses data for better decision-making regarding organizational operations.

Strategy 64

Strategy Database Administration Data Technical Review 64

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

In the case of Hybrid and multi-cloud, we are mixing up multiple clouds which increases operational and data management complexity. Operational policies and methods are different and aggregation of data across multiple clouds boundaries makes it difficult for governance, analytics, and business intelligence.

Cloud 49

Cloud AWS Open Source Data Center 49

Altexsoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. Traditional data warehouse platform architecture. Data lake architecture example. Poor data quality, reliability, and integrity.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

Mobilunity

JUNE 14, 2021

Business Intelligence (BI) in a Nutshell. Nowadays, every company has to process huge amounts of information that need to be structured and stored somewhere to bring value and drive data-based decision-making. What skills and experience should a Power BI® consultant have, and where to find Power BI® developers? Contact us.

Weak Development Team 52

Weak Development Team Development Recruiting Business Intelligence 52

Cloudera

FEBRUARY 8, 2024

It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time. Apache Iceberg forms the core foundation for Cloudera’s Open Data Lakehouse with the Cloudera Data Platform (CDP).

Groups 91

Groups Technical Review Performance AWS 91

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. Who needs a data lake?

Architecture 52

Architecture Data Storage Artificial Inteligence 52

Mobilunity

DECEMBER 9, 2024

Data Science (Bachelors) amplifies a fundamental AI aspect – management, analysis, and interpretation of large data sets, giving strong knowledge of machine learning, data visualization, big data processing, and statistics for designing AI models and deriving insights from data. Big Data technologies.

Engineering 52

Engineering Artificial Inteligence Machine Learning Artificial Intelligence 52

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 platform provides fast, flexible, and easy-to-use options for data storage, processing, and analysis.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Datavail

AUGUST 6, 2020

The use of business analytics is a critical component of organizations’ digital transformation initiatives. As big data continues to grow in size and complexity year after year, organizations need to efficiently cut through the massive data volumes they have on hand to find the hidden insights within.

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Users can easily create a wide range of data-intensive, yet intelligible reports and dashboards and share obtained insights. Power BI data sources.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Cloudera

SEPTEMBER 12, 2018

AbbVie, one of the world’s largest global research and development pharmaceutical companies, established a big data platform to provide end-to-end operations visibility, agility, and responsiveness. The lab uses Cloudera running on Cazena’s Fully-Managed Big Data as a Service on Amazon Web Services (AWS). Special Impact.

Artificial Inteligence 45

Artificial Inteligence Data Machine Learning Pharmaceuticals 45

Altexsoft

FEBRUARY 24, 2023

The shift to non-application jobs driven by the ability to support various types of workloads turns Kubernetes into a universal platform for almost everything and a de-facto operating system for cloud-native software. Look through the full list of certified Kubernetes-based products here. Framework Programming The Good and the Bad of Node.js

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Altexsoft

AUGUST 31, 2020

Collecting data and making sense of it to predict health conditions of individuals is a primary task of healthcare analytics. To learn general terms of data processing, take a look at our business intelligence article. A cloud-based system utilized Azure SQL Database and Power BI interface for reporting features.

Healthcare 72

Healthcare Analytics Examples Data 72