CIO

JANUARY 5, 2023

Low-code/no-code visual programming tools promise to radically simplify and speed up application development by allowing business users to create new applications using drag and drop interfaces, reducing the workload on hard-to-find professional developers. Vikram Ramani, Fidelity National Information Services CTO.

Software Review 305

Software Review Tools Off-The-Shelf Technical Review 305

CIO

MARCH 4, 2024

Ever-shifting domain-level business logic and architectures add to the workload of overwhelmed central data teams, which results in difficult, misaligned metric reporting and declining data reliability. Enter data mesh. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies.

Insurance 206

Insurance Strategy Agile Data 206

TechCrunch

AUGUST 19, 2021

George Mathew, managing director of Insight Partners, believes we are seeing the third generation of business intelligence tools emerging following centralized enterprise architectures like SAP, then self-service tools like Tableau and Looker and now companies like Metabase that can get users to discovery and insights quickly.

Business Intelligence 248

Business Intelligence Enterprise Tools Open Source 248

CIO

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data 317

Data Database Administration Data Engineering Artificial Inteligence 317

TechCrunch

JUNE 1, 2022

That’s leading to the rise of a wave of startups building tools to improve how to manage this. As with the other tools, part of the aim is speed but the other (related to it) is cost savings, some 40-70% less compared to other tools used to query data in storage, it said.

Analytics 246

Analytics DevOps Storage Business Intelligence 246

CIO

MAY 1, 2024

In particular, the company had to integrate billing data from SAP S/4HANA, an enterprise resource planning software designed specifically for large enterprises, with SAP Billing and Revenue Innovation Management (BRIM) and replicate the information to Google BigQuery, a fully managed, AI-ready data analytics platform.

Internet 207

Internet Artificial Intelligence Artificial Inteligence Software Review 207

TechCrunch

JANUARY 26, 2022

Israeli startup Firebolt has been taking on Google’s BigQuery, Snowflake and others with a cloud data warehouse solution that it claims can run analytics on large datasets cheaper and faster than its competitors. Firebolt cites analysts that estimate the global cloud analytics market will be worth some $65 billion by 2025.

Analytics 218

Analytics Data Big Data Business Intelligence 218

Perficient

MARCH 29, 2023

Set up the SAP Data Hub environment, connect to the SAP data, set up a pipeline with Pipeline Modeler, configure the Streaming Analytics Service, setup Kafka or MQTT and receive the streaming data in Databricks with Spark Streaming. Data scientists are typically interested in the solver layer while BI tools typically access the gold layer.

Analytics 81

Analytics Machine Learning Artificial Inteligence Architecture 81

CIO

MAY 8, 2024

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

Innovation 147

Innovation Artificial Inteligence Data Serverless 147

Cloudera

APRIL 20, 2021

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. Streaming Analytics can be used in many industries: Healthcare: Monitoring hospital patients to get the latest and most actionable data to inform patient interactions better.

Analytics 92

Analytics Retail Architecture Government 92

CIO

JUNE 23, 2023

By placing these platforms at the core of your data architecture, your organization can get a springboard into automation, analytics and AI/ML projects while rounding it out with additional partners and investments to complete your ecosystem.

Strategy 261

Strategy Technical Review Data Software Review 261

Altexsoft

APRIL 23, 2019

And these data channels serve as a pair of eyes for executives, supplying them with the analytical information of what is going on with a business and the market. You will learn how to set up a business intelligence strategy and integrate tools into your company workflow. ETL (Extract, Transform, Load) or data integration tools.

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

Apiumhub

MARCH 16, 2021

In this article we will talk about Business Intelligence tools, benefits & use cases. . It has become a necessary tool in the era of big data. It has become a necessary tool in the era of big data. Online analytical processing. Predictive analytics. Prescriptive analytics. Business Intelligence tools.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

Zensar

FEBRUARY 18, 2020

The sheer breadth of problems that analytics has already solved and promises to solve in the future has driven organizations to invest increasingly in data & analytics initiatives. From my experience of designing and implementing architectures, the most important consideration is business objective. Implementation timeline.

Architecture 40

Architecture Analytics Sustainability System Architecture 40

Cloudera

OCTOBER 30, 2023

The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications. The traditional “lift and shift” approach is not appropriate when building cost-effective cloud architectures.

Analytics 75

Analytics Cloud Technical Review Resources 75

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. This article explains what a data lake is, its architecture, and diverse use cases. This flexibility makes it easier to accommodate various data types and analytics needs as they evolve over time. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. Offload data from legacy, on-premises analytic platforms and appliances. On-premises analytic systems can often cost more than cloud-based alternatives.

Architecture 61

Architecture Data Government Machine Learning 61

Altexsoft

DECEMBER 9, 2020

Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. What is analytics maturity model? They also serve as a guide in the analytics transformation process. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

CIO

MAY 1, 2024

In particular, the company had to integrate billing data from SAP S/4HANA, an enterprise resource planning software designed specifically for large enterprises, with SAP Billing and Revenue Innovation Management (BRIM) and replicate the information to Google BigQuery, a fully managed, AI-ready data analytics platform.

Internet 146

Internet Artificial Intelligence Artificial Inteligence Software Review 146

Datavail

AUGUST 4, 2021

Moving analytics to the cloud is now a best practice for companies of all sizes and industries. According to a 2020 survey by MicroStrategy , 47 percent of organizations have already moved their analytics platform into the cloud, while another 42 percent have a hybrid cloud/on-premises analytics solution. Don’t rush into things.

AWS 98

AWS Technical Review Analytics Development Team Review 98

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

Analytics 91

Analytics Network Innovation IoT 91

Cloudera

AUGUST 9, 2022

The truth is, the future of data architecture is all about hybrid. Hybrid data capabilities enable organizations to collect and store information on premises, in public or private clouds, and at the edge — without sacrificing the important analytics needed to turn that information into insight. Do we need more than one?

Architecture 88

Architecture Strategy Data Open Source 88

CIO

MAY 15, 2024

We can use analytics to show the turnaround times for specific doctors. Once we set up a data architecture that provides data liquidity, where data can go everywhere, we had to teach people how to use it. Once we established basic data literacy, we taught people some advanced data practices and trained them on our tools.

System 196

System Data Healthcare Government 196

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Data analytics use cases by industry 7. The data analytics process 8. What to look for when hiring a data analytics consultancy 10.

Big Data 52

Big Data Analytics Data Analysis 52

CIO

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Generative AI 358

Generative AI Company Machine Learning Artificial Inteligence 358

Datavail

JULY 27, 2021

Whether you’re a tiny startup or a massive Fortune 500 firm, cloud analytics has become a business best practice. A 2018 survey by MicroStrategy found that 39 percent of organizations are now running their analytics in the cloud, while another 45 percent are using analytics both in the cloud and on-premises.

Azure 98

Azure Analytics Cloud Company 98

Palo Alto Networks

JULY 29, 2021

One provision in particular – a requirement for departments and agencies to develop strategies for implementing a Zero Trust architecture (ZTA) – may have garnered the most attention as a key initiative in the Executive Order. While a Zero Trust architecture is a critical security concept, its implementation is not yet well understood.

Architecture 98

Architecture Network Policies Government 98

CIO

OCTOBER 4, 2023

There’s also strong demand for non-certified security skills, with DevSecOps, security architecture and models, security testing, and threat detection/modelling/management attracting the highest pay premiums. AI skills more valuable than certifications There were a couple of stand-outs among those.

Security 310

Security Artificial Inteligence Generative AI Blockchain 310

The Crazy Programmer

FEBRUARY 3, 2024

Investing in tailored clinical, administrative, and analytics solutions can drive efficiency, productivity, and patient care to new levels. Built-in analytics measure KPIs to identify performance gaps and opportunities in real-time. Analytics identify community disease hot spots for targeted intervention campaigns.

Healthcare 130

Healthcare Software Off-The-Shelf Compliance 130

CIO

FEBRUARY 27, 2024

In these environments, unifying and integrating platform capabilities like identity management, policy automation, segmentation, analytics, and assurance are essential for creating consistent architectures and design principles across domains, implementing proven best practices, increasing standardization, and enhancing security.

Network 197

Network WAN Analytics Wireless 197

Apiumhub

MARCH 9, 2021

In information technology, data architecture is composed of models, policies, rules or standards that govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations. What is Data Architecture. Data architecture components. Responsibilities of a Data Architect.

Architecture 52

Architecture Data Artificial Inteligence Artificial Intelligence 52

CIO

SEPTEMBER 29, 2022

Managing all of its facets, of course, requires many different approaches and tools to achieve beneficial outcomes, and Mano Mannoochahr, the companyâ??s s SVP and chief data & analytics officer, has a crowâ??s s unique about the [chief data officer] role is it sits at the cross-section of data, technology, and analytics,â??

Machine Learning 306

Machine Learning Artificial Inteligence Travel Technical Review 306

CIO

APRIL 27, 2023

For technologists with the right skills and expertise, the demand for talent remains and businesses continue to invest in technical skills such as data analytics, security, and cloud. They’re also charged with assessing a business’ current system architecture, and identifying solutions to improve, change, and modernize it.

Technical Review 283

Technical Review Software Review Systems Review Software Engineering 283

Apiumhub

JULY 7, 2020

If you remember my article about Software Architecture Quality Attributes , you know that we have been conducting a survey to find out key software architecture metrics that leading companies and software architects use. As quality of a software’s architecture is essential, yet very difficult to apprehend and measure.

Metrics 94

Metrics Architecture Research Software 94

Cloudera

MAY 10, 2024

Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

Analytics 99

Analytics Open Source Virtualization Government 99

CIO

JANUARY 31, 2024

Use more efficient processes and architectures Boris Gamazaychikov, senior manager of emissions reduction at SaaS provider Salesforce, recommends using specialized AI models to reduce the power needed to train them. “Is AWS also has models to reduce data processing and storage, and tools to “right size” infrastructure for AI application.

Sustainability 291

Sustainability Data Center Artificial Intelligence Artificial Inteligence 291

Cloudera

JUNE 7, 2021

Cloudera has been named as a Strong Performer in the Forrester Wave for Streaming Analytics, Q2 2021. We are proud to have been named as one of “ The 14 providers that matter most ” in streaming analytics. CDF enables such enterprises to achieve successful digital transformations with streaming analytics. It’s too late.

Analytics 101

Analytics Performance IoT Report 101