Cloudera

DECEMBER 2, 2024

As organizations adopt a cloud-first infrastructure strategy, they must weigh a number of factors to determine whether or not a workload belongs in the cloud. Cost has been a key consideration in public cloud adoption from the start. Meanwhile, GreenOps focuses on reducing the environmental impact of cloud operations.

Sustainability 89

Sustainability AWS Analytics Infrastructure 89

CIO

OCTOBER 24, 2024

While AI projects will continue beyond 2025, many organizations’ software spending will be driven more by other enterprise needs like CRM and cloud computing, Lovelock says. The rapid accumulation of data requires more sophisticated data management and analytics solutions, driving up costs in storage and processing,” he says.

Data Center 200

Data Center Artificial Inteligence Generative AI Artificial Intelligence 200

CIO

APRIL 9, 2025

Cloud computing has been a major force in enterprise technology for two decades. But according to a Barclays report issued last year, only 42% of workloads reside in the public cloud , despite the benefits of running workloads in the cloud. Retraining admins on new tools to manage cloud environments requires time and money.

Cloud 88

Cloud Google Cloud Disaster Recovery Data Center 88

CIO

APRIL 9, 2025

VMware Cloud Foundation on Google Cloud VMware Engine (GCVE) is now generally available, and there has never been a better time to move your VMware workloads to Google Cloud, so you can bring down your costs and benefit from a modern cloud experience. TB raw data storage ( ~2.7X compared to ve1-standard-72).

Google Cloud 88

Google Cloud Cloud Engineering Storage 88

CIO

APRIL 9, 2025

For those enterprises with significant VMware deployments, migrating their virtual workloads to the cloud can provide a nondisruptive path that builds on the IT teams already-established virtual infrastructure. AI and analytics integration. AI workloads demand flexibility and the ability to scale rapidly.

Google Cloud 133

Google Cloud Load Balancer Virtualization Artificial Intelligence 133

Netflix Tech

DECEMBER 17, 2024

This article is the first in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft.

Analytics 84

Analytics Engineering Survey Metrics 84

CIO

DECEMBER 5, 2024

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. To overcome this, many CIOs originally adopted enterprise data platforms (EDPs)—centralized cloud solutions that delivered insights quickly, securely, and reliably across various business units and geographies.

Enterprise 158

Enterprise Data Insurance Business Intelligence 158

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

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 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

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. For companies moving to the cloud specifically, IDG reports that they plan to devote $78 million toward infrastructure this year. Marvell has its Octeon technology.

Data Center 208

Data Center Analytics Weak Development Team Data 208

CIO

APRIL 17, 2025

To run an internal tool, a company may use cloud services from one vendor, database APIs from a second vendor, a caching service from a third vendor, an AI tool from a fourth, and a sign-in service from a fifth, he says. 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

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

OCTOBER 20, 2023

Meanwhile, enterprises are rapidly moving away from tape and other on-premises storage in favor of cloud object stores. Any organization that currently stores its mainframe data on tape or VTL should prioritize migrating that data to a hybrid cloud object store.

Cloud 198

Cloud Data Storage Backup 198

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

Xebia

OCTOBER 18, 2024

DuckDB is an in-process analytical database designed for fast query execution, especially suited for analytics workloads. Moving to the Cloud (AWS) With the local setup complete, we’re ready to explore cloud deployment options. Why Integrate DuckDB with Unity Catalog? million downloads per week. What’s Next?

Open Source 162

Open Source AWS Government Technical Review 162

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. “This has driven our sales demand from the world’s largest cloud operators by an estimated 25% to 30%.”

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

CIO

JUNE 23, 2023

As the general manager of the Oakland Athletics, Beane used data and analytics to find undervalued baseball players on a shoestring budget. Artificial intelligence (AI) is the analytics vehicle that extracts data’s tremendous value and translates it into actionable, usable insights.

Storage 148

Storage Data Artificial Intelligence Artificial Inteligence 148

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

NOVEMBER 28, 2023

As more businesses push forward with digital transformation projects, cloud computing has stood out as a powerful tool capable of fueling the analytics that drive new technologies like artificial intelligence (AI) and machine learning (ML)—two capabilities that are quickly becoming a must-have in nearly every organization.

Cloud 177

Cloud Artificial Inteligence Artificial Intelligence Analytics 177

CIO

NOVEMBER 2, 2023

Cloud costs remain a key concern for IT leaders, who find themselves nearing a crossroads where expenditures for core workloads will need containment to free up spend for innovation. 1 barrier to moving forward in the cloud. Cloud costs continue to be a top concern for CIOs,” says Dave McCarthy, analyst at IDC.

Strategy 211

Strategy Cloud Data Center Budget 211

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 189

Big Data Analytics Data eLearning 189

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

TechCrunch

OCTOBER 18, 2022

Bringing RisingWave’s total raised to over $40 million, the capital will be put toward scaling the startup’s business-side operations to support the launch of a new cloud service, RisingWave Cloud, next year, CEO Yingjun Wu said. Image Credits: RisingWave Labs. It can also power real-time dashboards (e.g.

Cloud 207

Cloud Data Systems Review AWS 207

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 21, 2025

This includes curbing what the bank had dubbed the year of cloud, a strategic initiative that involved several planned platform migrations to the cloud. For example, there is hidden waste within cloud bills , according to a March Forrester report on thriving through volatility. It helps us make faster and smarter decisions.

Technical Review 123

Technical Review Systems Review Budget Banking 123

TechCrunch

OCTOBER 7, 2021

Data observability — necessary to keep tabs on infrastructure performing as it should; to see if apps are returning errors; and to ensure that critical business data is getting to where it needs to go — is becoming an evermore complicated task as organizations’ cloud-native data demands and data usage grow.

Cloud 209

Cloud Sport Open Source Machine Learning 209

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. “The second wave in the 2010s was then trying to solve the problem of large-scale query processing, which created the emergence of cloud data warehouses (e.g., Impala, Presto, Athena).

Technical Review 249

Technical Review Analytics Cloud Enterprise 249

CIO

JUNE 5, 2024

The cloud will become a cornerstone of enterprise operations as IDC estimates that by 2025, there will be over 750 million cloud-native applications globally. Additionally, over 90% of organizations anticipate employing a multi-cloud approach over the next few years. in 2023, a trend that is likely to continue.

Tools 165

Tools Cloud Analytics Machine Learning 165

CIO

DECEMBER 10, 2024

Notably, hyperscale companies are making substantial investments in AI and predictive analytics. However, each cloud provider offers distinct advantages for AI workloads, making a multi-cloud strategy vital. NetApps first-party, cloud-native storage solutions enable our customers to quickly benefit from these AI investments.

Strategy 158

Strategy Cloud Artificial Inteligence Azure 158

CIO

JULY 18, 2024

Technologies such as AI, cloud computing, and the Internet of Things (IoT), require the right infrastructure to support moving data securely across environments. This limits both time and cost while increasing productivity, allowing employees to make stronger analytical decisions. These issues add up and lead to unreliability.

Cloud 165

Cloud Data Storage eBook 165

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. mLab, at that time, was offering MongoDB as DBaaS on the cloud and had many customers. MongoDB Inc.

Open Source 273

Open Source Storage Azure Journal 273

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

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices. After moving its expensive, on-premise data lake to the cloud, Comcast created a three-tiered architecture.

Analytics 148

Analytics CTO Games Generative AI 148

CIO

APRIL 25, 2024

Cloud cost management remains a critical CIO priority. With questions around ROI, increasing outlay, and corporate scrutiny on IT cost savings on the rise, CIOs must know not only what contributes to their organization’s overall cloud spend but also how to optimize it.

Tools 185

Tools Cloud AWS Off-The-Shelf 185

CIO

SEPTEMBER 10, 2024

In continuation of its efforts to help enterprises migrate to the cloud, Oracle said it is partnering with Amazon Web Services (AWS) to offer database services on the latter’s infrastructure. Other updates include expanding the partnership with Google and Microsoft by offering database services across new cloud regions.

AWS 218

AWS Azure Database Administration Google Cloud 218