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 238

Insurance Strategy Agile Data 238

TechCrunch

OCTOBER 27, 2020

Rockset , a cloud-native analytics company, announced a $40 million Series B investment today led by Sequoia with help from Greylock, the same two firms that financed its Series A. “We’re building out our service with innovative architecture and unique capabilities that allows full-featured fast SQL directly on raw data.

Analytics 216

Analytics Data Scalability Metrics 216

Netflix Tech

JANUARY 25, 2023

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. All data should be also available for offline analytics in Hive/Iceberg. All of these services at a later point want to annotate their objects or entities.

Scalability 113

Scalability Video Media Examples 113

TechCrunch

AUGUST 16, 2022

“It became clear that today’s data needs are incompatible with yesterday’s data center architecture. ” Pliops isn’t the first to market with a processor for data analytics. Oracle’s SPARC M7 chip has a data analytics accelerator coprocessor with a specialized set of instructions for data transformation.

Data Center 208

Data Center Analytics Weak Development Team Data 208

CIO

DECEMBER 22, 2023

Skills: Skills for this role include knowledge of application architecture, automation, ITSM, governance, security, and leadership. Cloud software engineer Cloud software engineers are tasked with developing and maintaining software applications that run on cloud platforms, ensuring they are built to be scalable, reliable, and agile.

Cloud 314

Cloud Company Disaster Recovery Software Engineering 314

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. Introduction. CRM platforms).

Scalability 89

Scalability Technical Review Data Analytics 89

O'Reilly Media - Ideas

JUNE 6, 2019

The O’Reilly Data Show Podcast: Dhruba Borthakur and Shruti Bhat on enabling interactive analytics and data applications against live data. Their new startup is focused on a few trends I’ve recently been thinking about, including the re-emergence of real-time analytics, and the hunger for simpler data architectures and tools.

Scalability 80

Scalability Analytics Enterprise Architecture 80

Cloudera

JUNE 29, 2023

Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs. However, because most institutions lack a modern data architecture , they struggle to manage, integrate and analyze financial data at pace.

Architecture 83

Architecture Data Artificial Inteligence How To 83

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

CIO

AUGUST 9, 2023

Unstructured data needs for generative AI Generative AI architecture and storage solutions are a textbook case of “what got you here won’t get you there.” Advances in hardware boost the performance and scalability of generative AI systems. Novel approaches to storage are needed because generative AI’s requirements are vastly different.

Generative AI 243

Generative AI Storage Scalability Artificial Intelligence 243

Cloudera

SEPTEMBER 9, 2022

The promise of a modern data lakehouse architecture. This is the promise of the modern data lakehouse architecture. These challenges require architecture changes and adoption of new table formats that can support massive scale, offer greater flexibility of compute engine and data types, and simplify schema evolution. .

Architecture 97

Architecture Innovation Data Machine Learning 97

Cloudera

MAY 3, 2021

Cloudera sees success in terms of two very simple outputs or results – building enterprise agility and enterprise scalability. In the last five years, there has been a meaningful investment in both Edge hardware compute power and software analytical capabilities. Let’s start at the place where much of Industry’s 4.0

Scalability 100

Scalability Agile Data Systems Review 100

Cloudera

JULY 11, 2022

What used to be bespoke and complex enterprise data integration has evolved into a modern data architecture that orchestrates all the disparate data sources intelligently and securely, even in a self-service manner: a data fabric. Data fabrics are one of the more mature modern data architectures. Next steps.

Architecture 104

Architecture Data Government Scalability 104

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 278

Technical Review Software Review Systems Review Software Engineering 278

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

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

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

CIO

OCTOBER 19, 2023

The growing volume of data is a concern, as 20% of enterprises surveyed by IDG are drawing from 1000 or more sources to feed their analytics systems. This complicates synchronization, scalability, detecting anomalies, pulling valuable insights, and enhancing decision-making.

Data 306

Data Scalability Serverless Enterprise 306

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. SAP HANA Cloud is a column-based, multi-modal and scalable in-memory database.

Analytics 81

Analytics Machine Learning Artificial Inteligence Architecture 81

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 93

Analytics Retail Architecture Government 93

Cloudera

AUGUST 30, 2022

Data quality issues deter trust and hinder accurate analytics. Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Deploying modern data architectures. Forrester ). Towards Data Science ).

Architecture 77

Architecture Data Artificial Inteligence Artificial Intelligence 77

CIO

FEBRUARY 20, 2024

Although that initially appeared to be something that would only impact Chinese companies, Forrester principal analyst Lee Sustar argues that this could easily entangle US companies — not just cloud companies, but conglomerates that have a division that performs analytics work for its clients. How long do they retain these logs?” Levine says.

Enterprise 311

Enterprise Strategy Cloud Technical Review 311

CIO

DECEMBER 22, 2023

His responsibilities now range from encompassing technology architecture and operational stability, to security, cost management, partnership oversight, and domain-specific deliveries, among others. The strengths of this architecture, he adds, enable them to go fast and evolve, like with transactions that constantly come through.

Banking 245

Banking Architecture Microservices Conference 245

The Citus Data

OCTOBER 8, 2020

team—where I work on open source Postgres—I have spent a lot of time analyzing and addressing some of the issues with connection scalability in Postgres. Followed by an analysis of the different limiting aspects to connection scalability in Postgres. Why connection scalability in Postgres is important. Memory usage.

Scalability 138

Scalability Software Review Systems Review Applications 138

Datavail

APRIL 13, 2023

As an IT leader, you’re likely well aware of the importance of data and analytics in driving business success. The survey, which polled 150 IT leaders, found that the top challenges facing organizations when it comes to data and analytics are data quality and integration, as well as a lack of skilled personnel.

Survey 52

Survey Analytics Data Scalability 52

CIO

AUGUST 8, 2023

By bringing compute power closer to the point of action, edge computing allows real-time data processing, analytics, and decision-making, thereby improving the well-being and efficiency of front-line workers. Traditional, centralized computing architectures cannot deliver the speed and reliability required for critical frontline tasks.

Industry 246

Industry Artificial Inteligence Artificial Intelligence Machine Learning 246

CIO

OCTOBER 23, 2023

With the paradigm shift from the on-premises data center to a decentralized edge infrastructure, companies are on a journey to build more flexible, scalable, distributed IT architectures, and they need experienced technology partners to support the transition.

Sustainability 303

Sustainability Data Center Technical Review Energy 303

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

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

OCTOBER 1, 2022

In addition, as organizations are striving to deliver a richer application experience through analytics, they sometimes need to use complex extract, transform, and load (ETL) operations to move the operational data to a separate analytical database. It must be scalable, resilient, and mission critical with auto scaling.

Google Cloud 223

Google Cloud Analytics Mobile Innovation 223

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

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

Dzone - DevOps

APRIL 19, 2023

Elasticsearch is a highly scalable and distributed search and analytics engine that is built on top of the Apache Lucene search library. Elasticsearch uses a distributed architecture that allows it to store and process large volumes of data across multiple nodes in a cluster.

Scalability 98

Scalability Analytics Architecture Analysis 98

CIO

JANUARY 9, 2023

In each case, they are taking strategic advantage of data generated at the edge, using artificial intelligence and cloud architecture. 2] Here, we explore the demands and opportunities of edge computing and how an approach to Business Outcomes-as-a-Service can provide end-to-end analytics with lowered operational risk.

IoT 306

IoT Technical Review Company Data 306

CIO

DECEMBER 6, 2023

Scalability: As a business expands, the orchestration framework must be designed to scale, accommodating a growing array of LLMs and data flows. S calability and flexibility in LLM orchestration In a robust LLM orchestration layer, scalability and flexibility are critical.

Artificial Inteligence 286

Artificial Inteligence Generative AI Enterprise Artificial Intelligence 286

Altexsoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52