CIO

OCTOBER 24, 2024

The company also plans to increase spending on cybersecurity tools and personnel, he adds, and it will focus more resources on advanced analytics, data management, and storage solutions. Although Rucker raises concerns about the global economy and rising technology costs, he says many IT spending increases will be necessary.

Data Center 200

Data Center Artificial Inteligence Generative AI Artificial Intelligence 200

TechCrunch

SEPTEMBER 8, 2022

However, data storage costs keep growing, and the data people keep producing and consuming can’t keep up with the available storage. The partnership focuses on automating the DNA-based storage platform using Seagate’s specially designed electronic chips. Data needs to be stored somewhere.

Storage 206

Storage Artificial Inteligence Data Chemicals 206

TechCrunch

AUGUST 16, 2022

Part of the problem is that data-intensive workloads require substantial resources, and that adding the necessary compute and storage infrastructure is often expensive. As a result, organizations are looking for solutions that free CPUs from computationally intensive storage tasks.” Marvell has its Octeon technology.

Data Center 208

Data Center Analytics Weak Development Team Data 208

TechCrunch

APRIL 5, 2022

When it comes to data ingestion, Tinybird has connectors for various popular data sources, such as databases (PostgreSQL, MySQL…), CSV files hosted in a storage bucket on a public cloud, data warehouses and data streams, from Amazon Redshift to Google BigQuery, Snowflake and Apache Kafka.

Analytics 228

Analytics Hotels Travel Retail 228

CIO

DECEMBER 10, 2024

Azure Microsoft Azure is another widely used cloud computing service deployed for cloud infrastructure management, data analytics, artificial intelligence, machine learning, and network virtualization. The software is used for data analytics, importing data, manipulating data, data modeling, and building data visualizations and reports.

UI/UX 203

UI/UX Enterprise Artificial Inteligence Database Administration 203

TechCrunch

JUNE 1, 2022

Essentially, Coralogix allows DevOps and other engineering teams a way to observe and analyze data streams before they get indexed and/or sent to storage, giving them more flexibility to query the data in different ways and glean more insights faster (and more cheaply because doing this pre-indexing results in less latency).

Analytics 246

Analytics DevOps Storage Business Intelligence 246

CIO

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Analytics 203

Analytics Data Analysis Business Analytics 203

CIO

NOVEMBER 14, 2024

“Online will become increasingly central, with the launch of new collections and models, as well as opening in new markets, transacting in different currencies, and using in-depth analytics to make quick decisions.” In this case, IT works hand in hand with internal analytics experts.

Cloud 179

Cloud Technical Review Data B2C 179

CIO

AUGUST 9, 2023

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. All this data means that organizations adopting generative AI face a potential, last-mile bottleneck, and that is storage. Novel approaches to storage are needed because generative AI’s requirements are vastly different.

Generative AI 148

Generative AI Storage Scalability Technical Review 148

CIO

OCTOBER 10, 2024

The growing role of FinOps in SaaS SaaS is now a vital component of the Cloud ecosystem, providing anything from specialist tools for security and analytics to enterprise apps like CRM systems. Despite SaaS’s widespread use, its distinct pricing and consumption methods make cost management difficult.

Cloud 173

Cloud Guidelines Enterprise Sustainability 173

CIO

APRIL 9, 2025

The networking, compute, and storage needs not to mention power and cooling are significant, and market pressures require the assembly to happen quickly. AI and analytics integration. Organizations can enable powerful analytics and AI capabilities by linking VMware-hosted data with services such as BigQuery and Vertex AI.

Google Cloud 133

Google Cloud Load Balancer Virtualization Artificial Intelligence 133

CIO

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 190

Big Data Analytics Data eLearning 190

CIO

AUGUST 9, 2022

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Database-centric: In larger organizations, where managing the flow of data is a full-time job, data engineers focus on analytics databases. What is a data engineer? Data engineer job description.

Data Engineering 197

Data Engineering Analytics Engineering Data 197

CIO

SEPTEMBER 14, 2023

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Database-centric: In larger organizations, where managing the flow of data is a full-time job, data engineers focus on analytics databases. What is a data engineer?

Data Engineering 203

Data Engineering Analytics Engineering Data 203

CIO

MARCH 13, 2025

He noted that most Power BI estates of any meaningful size will see cost efficiencies in migrating to Fabric F64 (Fabric with 64TB of storage) with a three year commitment, which allows unlimited report consumption by all users.

Technical Review 139

Technical Review Analytics Marketing Research 139

Xebia

MARCH 30, 2025

By deploying predictive analytics and intelligent automation, the company optimizes production yields, preempts equipment failures, and ensures the precision demanded by automotive and industrial applications. Semi-Structured Storage : Measurement values have varying types (e.g., Hence, timely insights are paramount.

Testing 130

Testing Artificial Inteligence Comparison Software Review 130

AWS Machine Learning - AI

MARCH 20, 2025

Use cases for Amazon Bedrock Data Automation Key use cases such as intelligent document processing , media asset analysis and monetization , speech analytics , search and discovery, and agent-driven operations highlight how Amazon Bedrock Data Automation enhances innovation, efficiency, and data-driven decision-making across industries.

Data 109

Data Generative AI Artificial Inteligence Compliance 109

Xebia

OCTOBER 18, 2024

DuckDB is an in-process analytical database designed for fast query execution, especially suited for analytics workloads. Why Integrate DuckDB with Unity Catalog? It’s gaining popularity due to its simplicity and performance – currently getting over 1.5 million downloads per week.

Open Source 162

Open Source AWS Government Technical Review 162

TechCrunch

JULY 12, 2022

SingleStore , a provider of databases for cloud and on-premises apps and analytical systems, today announced that it raised an additional $40 million, extending its Series F — which previously topped out at $82 million — to $116 million. The provider allows customers to run real-time transactions and analytics in a single database.

Storage 206

Storage Big Data Analytics Survey 206

CIO

APRIL 9, 2025

Cloud-based workloads can burst as needed, because IT can easily add more compute and storage capacity on-demand to handle spikes in usage, such as during tax season for an accounting firm or on Black Friday for an e-commerce site. Enhancing applications.

Cloud 88

Cloud Google Cloud Disaster Recovery Data Center 88

CIO

APRIL 1, 2025

He also stands by DLP protocol, which monitors and restricts unauthorized data transfers, and prevents accidental exposure via email, cloud storage, or USB devices. Error-filled, incomplete or junk data can make costly analytics efforts unusable for organizations. Ravinder Arora elucidates the process to render data legible.

Data 88

Data Authentication Compliance Artificial Intelligence 88

The Crazy Programmer

SEPTEMBER 11, 2021

MongoDB and is the open-source server product, which is used for document-oriented storage. that featured WiredTiger storage engine, better replica member limit of over 50, pluggable engine API, as well as security improvements. MongoDB is a document-oriented server that was developed in the C++ programming language. MongoDB Inc.

Open Source 273

Open Source Storage Azure Journal 273

CIO

APRIL 9, 2025

VCF is a comprehensive platform that integrates VMwares compute, storage, and network virtualization capabilities with its management and application infrastructure capabilities. TB raw data storage ( ~2.7X TB raw data storage. TB raw data storage, and v22-mega-so with 51.2 TB raw data storage.

Google Cloud 88

Google Cloud Cloud Engineering Storage 88

Honeycomb

NOVEMBER 19, 2024

You probably use some subset (or superset) of tools including APM, RUM, unstructured logs, structured logs, infra metrics, tracing tools, profiling tools, product analytics, marketing analytics, dashboards, SLO tools, and more. Observability 1.0

Software Review 133

Software Review Weak Development Team Metrics Technical Review 133

TechCrunch

MAY 17, 2022

“The industry at large is upon the next wave of technical hurdles for analytics based on how organizations want to derive value from data. Now, the challenge organizations are trying to solve are large scale analytics applications enabling interactive data experiences. Imply’s Apache Druid-powered query view.

Technical Review 249

Technical Review Analytics Cloud Enterprise 249

TechCrunch

NOVEMBER 4, 2022

For example, a single video conferencing call can generate logs that require hundreds of storage tables. Cloud has fundamentally changed the way business is done because of the unlimited storage and scalable compute resources you can get at an affordable price. Self-service analytics.

Data 218

Data Storage Analytics Data Engineering 218

CIO

OCTOBER 20, 2023

Meanwhile, enterprises are rapidly moving away from tape and other on-premises storage in favor of cloud object stores. Cost optimization: Tape-based infrastructure and VTL have heavy capital and operational costs for storage space, maintenance, and hardware.

Cloud 199

Cloud Data Storage Backup 199

CIO

JANUARY 22, 2025

Predictive analytics and proactive recovery One significant advantage of AI in backup and recovery is its predictive capabilities. Predictive analytics allows systems to anticipate hardware failures, optimize storage management, and identify potential threats before they cause damage.

Backup 88

Backup Artificial Inteligence Data Artificial Intelligence 88

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. It is a critical feature for delivering unified access to data in distributed, multi-engine architectures.

Data 84

Data Analytics Systems Review Architecture 84

TechCrunch

AUGUST 25, 2021

Users can then choose their own analytics tools and storage destinations like Splunk, Datadog and Exabeam, but without becoming dependent on a vendor. Though Cribl is developing a pipeline for data, Sharp sees it more as an “observability lake,” as more companies have differing data storage needs.

Enterprise 247

Enterprise Data Weak Development Team Storage 247

TechCrunch

NOVEMBER 3, 2020

Box launched in 2005 as a consumer storage product before deciding to take on content management in the enterprise in 2008. The founders, who were MIT students at the time, decided they wanted to build an analytics tool instead, but it turned out that competition from Google Analytics and Mixpanel at the time proved too steep.

Marketing 285

Marketing Open Source Analytics Video 285

TechCrunch

JANUARY 24, 2023

The same survey found the average number of data sources per organization is now 400 sources, and that more than 20% of companies surveyed were drawing from 1,000 or more data sources to feed their business intelligence and analytics systems. ” So what else can enterprises do with Komprise? .

Company 203

Company Data Storage Backup 203

CIO

MARCH 4, 2025

Product and service innovation: Software companies now sell AI-driven analytics as products, automakers offer AI features (like driver assist or predictive maintenance) as differentiators and healthcare firms use AI to develop new diagnostics and personalized medicine. Robotics extends beyond factories into warehousing and logistics.

Technology 177

Technology Biotech Artificial Intelligence Artificial Inteligence 177

TechCrunch

AUGUST 24, 2023

The app offers only the core features Messenger in order to hog less storage space and processing power. According to mobile analytics firm data.ai, the Lite versions of the app had combined downloads estimated at approximately 760 million globally, with India accounting for the single largest portion, followed by Brazil and Indonesia.

Storage 241

Storage Mobile Analytics Testing 241

TechCrunch

OCTOBER 4, 2022

By separating storage and compute, Verma claims that SingleStore’s database platform can process a trillion rows per second, ingest billions of rows of data an hour and host databases with tens of thousands of tables.

Big Data 208

Big Data Storage Analytics Survey 208

TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Firebolt raises $127M more for its new approach to cheaper and more efficient Big Data analytics.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

CIO

SEPTEMBER 10, 2024

It added that enterprises will also have the capability to connect enterprise data in their Oracle Database to applications running on Amazon Elastic Compute Cloud (Amazon EC2), AWS Analytics services, or AWS’s advanced AI and machine learning (ML) services, including Amazon Bedrock.

AWS 218

AWS Azure Database Administration Google Cloud 218