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

Infinidat

APRIL 17, 2025

Infinidat Recognizes GSI and Tech Alliance Partners for Extending the Value of Infinidats Enterprise Storage Solutions Adriana Andronescu Thu, 04/17/2025 - 08:14 Infinidat works together with an impressive array of GSI and Tech Alliance Partners the biggest names in the tech industry.

Technical Review 91

Technical Review Storage Enterprise Fractional CTO 91

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

CIO

APRIL 25, 2025

Cloud computing Average salary: $124,796 Expertise premium: $15,051 (11%) Cloud computing has been a top priority for businesses in recent years, with organizations moving storage and other IT operations to cloud data storage platforms such as AWS.

Artificial Inteligence 204

Artificial Inteligence DevOps Virtualization Industry 204

CIO

MAY 12, 2022

What are predictive analytics tools? Predictive analytics tools blend artificial intelligence and business reporting. But there are deeper challenges because predictive analytics software can’t magically anticipate moments when the world shifts gears and the future bears little relationship to the past. Highlights. Deployment.

Analytics 206

Analytics Tools Artificial Inteligence Open Source 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

AUGUST 29, 2022

StarTree , a company building what it describes as an “analytics-as-a-service” platform, today announced that it raised $47 million in a Series B round led by GGV Capital with participation from Sapphire Ventures, Bain Capital Ventures, and CRV. Gopalakrishna says he co-launched StarTree in the hopes of streamlining the process.

Analytics 234

Analytics Data Technical Review Software Review 234

CIO

JANUARY 20, 2023

Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need. Yet many are struggling to move into production because they don’t have the right foundational technologies to support AI and advanced analytics workloads. Some are relying on outmoded legacy hardware systems.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

CIO

APRIL 15, 2025

Today, data sovereignty laws and compliance requirements force organizations to keep certain datasets within national borders, leading to localized cloud storage and computing solutions just as trade hubs adapted to regulatory and logistical barriers centuries ago. This gravitational effect presents a paradox for IT leaders.

Strategy 164

Strategy Cloud Data Technical Review 164

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

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

DECEMBER 5, 2024

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Consolidating data and improving accessibility through tenanted access controls can typically deliver a 25-30% reduction in data storage expenses while driving more informed decisions.

Enterprise 158

Enterprise Data Insurance Business Intelligence 158

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

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

APRIL 17, 2025

The rush to AI Data quality problems have been compounded in the past two years, as many companies rushed to adopt gen AI tools , says Rodion Myronov, Softserves assistant vice president for big data and analytics. In some cases, internal data is still scattered across many databases, storage locations, and formats.

Data 194

Data Weak Development Team Fractional CTO Software Review 194

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

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

APRIL 23, 2025

That approach to data storage is a problem for enterprises today because if they use outdated or inaccurate data to train an LLM, those errors get baked into the model. Will you appoint a chief data officer, an analytics team, or someone else? Who is responsible for looking at the access rights of your data?

Artificial Inteligence 190

Artificial Inteligence Data Compliance Government 190

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

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

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 116

Data Generative AI Artificial Inteligence Compliance 116

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

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

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