Analytics, Data, Scalability and Storage

Accelerating generative AI requires the right storage

CIO

AUGUST 9, 2023

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. Organizations need massive amounts of data to build and train generative AI models. In turn, these models will also generate reams of data that elevate organizational insights and productivity.

Generative AI

Generative AI Storage Scalability Artificial Intelligence

How to manage data integration during an acquisition

CIO

OCTOBER 20, 2023

But adopting modern-day, cutting-edge technology is only as good as the data that feeds it. Cloud-based analytics, generative AI, predictive analytics, and more innovative technologies will fall flat if not run on real-time, representative data sets.

Data

Data How To Quality Assurance Software Development

We’ll See You at the Gartner Data and Analytics Summit

Cloudera

MAY 9, 2024

The Gartner Data and Analytics Summit in London is quickly approaching on May 13 th to 15 th , and the Cloudera team is ready to hit the show floor! With the rapid pace of AI innovations, today’s leaders must connect, share, and learn from each other on how to best leverage AI technology to effectively analyze data to our advantage.

Analytics

Analytics Data Data Center Course

Webinars

Generative AI Deep Dive: Advancing from Proof of Concept to Production

MORE WEBINARS

Want AI? Here’s how to get your data and infrastructure AI-ready

CIO

OCTOBER 30, 2023

CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient. That’s because data is often siloed across on-premises, multiple clouds, and at the edge.

Infrastructure

Infrastructure Artificial Intelligence Artificial Inteligence Data

5 modern challenges in data integration and how CIOs can overcome them

CIO

OCTOBER 19, 2023

million terabytes of data will be generated by humans over the web and across devices. That’s just one of the many ways to define the uncontrollable volume of data and the challenge it poses for enterprises if they don’t adhere to advanced integration tech. As well as why data in silos is a threat that demands a separate discussion.

Data

Data Scalability Serverless Enterprise

What is data governance? Best practices for managing data assets

CIO

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Government

Government Data Technical Review Policies

The New Way Companies are Harnessing Data at the Edge for Value Added in Real-Time

CIO

JANUARY 9, 2023

1] In each case, the company has volumes of streaming data and needs a way to quickly analyze it for outcomes such as greater asset availability, improved site safety and enhanced sustainability. In each case, they are taking strategic advantage of data generated at the edge, using artificial intelligence and cloud architecture.

IoT

IoT Technical Review Company Data

The impact of AI on edge computing

CIO

APRIL 30, 2024

Enterprises are moving computing resources closer to where data is created, making edge locations ideal for not only collecting and aggregating local data but also for consuming it as input for generative processes. The rise of edge computing Edge computing has emerged as a strategic paradigm shift in the world of data processing.

Artificial Inteligence

Artificial Inteligence Storage Artificial Intelligence Retail

Unlocking the Power of AI with a Real-Time Data Strategy

CIO

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

Artificial Inteligence

Artificial Inteligence Strategy Data Machine Learning

Secure cloud fabric: Enhancing data management and AI development for the federal government

CIO

DECEMBER 19, 2023

In recent years, government agencies have increasingly turned to cloud computing to manage vast amounts of data and streamline operations. To address these challenges, agencies are turning to a secure cloud fabric that can ensure the confidentiality, integrity, and availability of their data in the cloud.

Government

Government Artificial Inteligence Cloud Data

The 4 Core Features of Successful Data Governance Automation

CIO

NOVEMBER 29, 2022

trillion by 2025 — more than double what was spent in 202 As organizations amp up their digital transformation initiatives, which are critical for survival in today’s business climate, they must also consider how to modernize and migrate sensitive data and how it is managed and governed.

Government

Government Data Compliance Malware

Advance Your Data-first Business With a Robust ISV Ecosystem

CIO

JULY 18, 2022

Whether the goal is elevating customer experiences, promoting operational efficiencies, or delivering new products and services, no one partner or platform can cover all the bases and serve as the central clearinghouse for fueling data insights that drive business success. An ISV ecosystem at work.

Data

Data Disaster Recovery Backup Systems Review

Why You Want To Use Looker Studio For Data Visualization on BigQuery

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data

Data Google Cloud Analytics Serverless

Best Big Data Analytics Tools & Software for 2023

Openxcell

JUNE 9, 2023

All this raw information, patterns and details is collectively called Big Data. Big Data analytics,on the other hand, refers to using this huge amount of data to make informed business decisions. Let us have a look at Big Data Analytics more in detail. What is Big Data Analytics?

Big Data

Big Data Analytics Tools Data

A Closer Look at The Next Phase of Cloudera’s Hybrid Data Lakehouse

Cloudera

MARCH 5, 2024

AI, and any analytics for that matter, are only as good as the data upon which they are based. Struggling to access and collect, oftentimes disparate and siloed, data across environments that are required to power AI, many organizations are unable to achieve the business insight and value they had hoped for.

Data

Data Data Center Analytics Artificial Intelligence

Fundamentals of Data Engineering

Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

Data Engineering

Data Engineering Engineering Data Technical Review

14 in-demand cloud roles companies are hiring for

CIO

DECEMBER 22, 2023

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. Role growth: 18% of businesses have added data architect roles as part of their cloud investments.

Cloud

Cloud Company Disaster Recovery Software Engineering

DDN raises the bar as data intensive analytics push storage systems

CTOvision

DECEMBER 16, 2014

It is no secret that today’s data intensive analytics are stressing traditional storage systems. SSD) to bolster the performance of traditional storage platforms and support the ever-increasing IOPS and bandwidth requirements of their applications.

Storage

Storage Analytics System Data

A history of tech adaptation for today’s changing business needs

CIO

JANUARY 17, 2024

The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection. Reporting standardization One of Ipsos’ latest digital transformation-related projects is the move of its reporting and analytics to a standard digital delivery platform.

Artificial Inteligence

Artificial Inteligence Artificial Intelligence Analysis Azure

Navigating the Data Lake: Insights from Building and Utilizing Data Lakes

InnovationM

MAY 14, 2023

Introduction As someone who has hands-on experience in constructing and leveraging data lakes, I can attest to the transformative power these repositories hold for organizations grappling with vast amounts of data. These systems ensure high availability and facilitate the storage of massive data volumes.

Data

Data Storage Construction Business Intelligence

Optimizing Medication Management: How AWS ETL Transforms Healthcare Data for a Leading PBM

Perficient

DECEMBER 13, 2023

Major Challenges Complex and huge volumes of data pose major challenges, a few of which are as follows: Data Sourcing Complexity Collating data from disparate sources like Pharmacy systems, Healthcare providers, Insurance claims, Patient records, and Clinical trials is a formidable task.

Healthcare

Healthcare AWS Lambda Data

A Case Study on Building Modern Analytics Architectures That Scale

Datavail

NOVEMBER 17, 2021

As data volumes continue to grow, the systems and architectures need to evolve. This is especially important for companies that rely on analytics to drive business insights and executive decisions. Most likely, your company has shifted their approach to data and analytics. Identifying Core Challenges.

Case Study

Case Study Analytics Study Architecture

CHAOSSEARCH Launches Industry-First Search and Analytics Platform for Cloud Storage

DevOps.com

APRIL 16, 2019

New patent-pending technology that unlocks cloud storage to rapidly search and analyze data within a company’s own Amazon S3 environment BOSTON, MA – April 16, 2019 – CHAOSSEARCH, Inc., Using scalable elasticity and […]. Using scalable elasticity and […].

Storage

Storage Analytics Industry Cloud

Building Self-service Cloud Analytics with Oracle Analytics Cloud (OAC) & Autonomous Data Warehouse (ADW)

RapidValue

JUNE 26, 2020

For any organization, be it large or mid-scale, data is important for reviews and predictions and to analyze how effectively the business is running. Apart from generating reports out of daily transactional data, it is equally important that you take a deep dive and analyze the patterns in the historical data.

Analytics

Analytics Cloud Technical Review Data

Moving Enterprise Data From Anywhere to Any System Made Easy

CIO

JULY 13, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

System

System Enterprise Data Cloud

History of MongoDB

The Crazy Programmer

SEPTEMBER 11, 2021

MongoDB and is the open-source server product, which is used for document-oriented storage. All three of them experienced relational database scalability issues when developing web applications at their company. Both realized they were solving horizontal scalability problems again. MongoDB Inc. Conclusion.

Open Source

Open Source Storage Azure Scalability

AIOps Supercharges Storage-as-a-Service: What You Need to Know

Infinidat

JULY 13, 2021

AIOps Supercharges Storage-as-a-Service: What You Need to Know. In an interesting twist, though, the deployment of Artificial Intelligence for IT Operations (AIOps) in enterprise data storage is actually living up to the promise – and more. But AI is not only inside the storage platform. Adriana Andronescu.

Storage

Storage Artificial Inteligence Artificial Intelligence Enterprise

Elevate your digital transformation with impactful sustainability

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

Sustainability Data Center Technical Review Energy

The 5G Requirement for Data Storage

Hu's Place - HitachiVantara

JULY 16, 2019

5G will generate data at an unprecedented velocity and volume and fuel a wide range of data-driven services and digital business models. billion connected devices by 2025, generating tons of data. This requires two types of storage systems, one for the edge and one for the backend repositories.

Storage

Storage Data IoT Wireless

Why Build a Data Warehouse in Snowflake?

Datavail

DECEMBER 2, 2021

Snowflake took the market by storm when it introduced its innovative cloud-based data warehouse technology in 2014. It is one of the first data warehousing platforms offered as a software as a service (SaaS) product with storage, compute, and cloud services operating separately and billing as independent units.

Data

Data Analytics Azure Storage

5 hot IT budget investments — and 2 going cold

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Cold: On-prem infrastructure As they did in 2022, many IT leaders are reducing investments in data centers and on-prem technologies. “We

Budget

Budget Artificial Inteligence Technical Review VR

ODC-Noord: The Netherland’s northernmost government data center is committed to a zero carbon future

CIO

MAY 3, 2023

One of four government data centers in the Netherlands, Overheidsdatacenter Noord (ODC-Noord), the northernmost facility of its kind in The Netherlands, is located in the picturesque city of Groningen. The migration to software-defined data centers was an important step in the right direction, but it’s just the beginning.

Data Center

Data Center Government Development Team Review Systems Review

How Industry 4.0 Changes Predictive Maintenance From Mobile Apps And What It Means For The Future ?

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. and Big Data Analytics in Predictive Maintenance Industry 4.0 is also enabling the use of big data in predictive maintenance. Industry 4.0

Mobile

Mobile Artificial Inteligence Industry IoT

Data Lake Engineering Services

Mobilunity

MAY 8, 2023

An Enterprise Data Lake is a large, centralized repository that stores structured and unstructured data at scale. It is designed to store vast amounts of data from a variety of sources. Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise.

Engineering

Engineering Data Storage AWS

7 Snowflake Alternatives to Help You Lower Costs

CloudZero

JUNE 15, 2022

The Snowflake data cloud provides storage, reporting, and analytics for organizations that rely on their data to run their day-to-day operations.

Scalability

Scalability Storage Analytics Cloud

Boosting Node.js Performance and Efficiency with Redis

Perficient

AUGUST 9, 2023

Redis in a Nutshell Redis, short for Remote Dictionary Server, is an open-source, in-memory data structure store. By keeping data in memory, Redis allows lightning-quick read and write operations, making it ideal for scenarios where speed is crucial. In this article, we’ll look at how to use Redis with Node.js

Performance

Performance Software Review Analytics Systems Review

The Key Components of a Successful Data Lake Strategy

Data Virtualization

MARCH 16, 2023

Reading Time: 6 minutes Data lake, by combining the flexibility of object storage with the scalability and agility of cloud platforms, are becoming an increasingly popular choice as an enterprise data repository. Whether you are on Amazon Web Services (AWS) and leverage AWS S3.

Strategy

Strategy Data AWS Storage

The Key Components of a Successful Data Lake Strategy

Data Virtualization

MARCH 16, 2023

Reading Time: 6 minutes Data lake, by combining the flexibility of object storage with the scalability and agility of cloud platforms, are becoming an increasingly popular choice as an enterprise data repository. Whether you are on Amazon Web Services (AWS) and leverage AWS S3.

Strategy

Strategy Data AWS Storage

5 Technical Reasons for a Cloud Analytics Migration

Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

Analytics

Analytics Artificial Inteligence Cloud Artificial Intelligence

The Growing Demand for Object Storage

Hu's Place - HitachiVantara

JUNE 18, 2019

There has been a growing buzz from analysts and thought leaders on the growing role of object storage in the data center. The All Flash G Series Access node for HCP has unlocked new uses for object storage. He also cites some of the recent enhancement that have been added to HCP.

Storage

Storage Software Review Banking Technical Review

Low code/no code tools reap IT benefits—with caveats

CIO

JANUARY 5, 2023

Many customers find the sweet spot in combining them with similar low code/no code tools for data integration and management to quickly automate standard tasks, and experiment with new services. Tapping the content management system within AppMachine made it easy for users to upload the required data into it, he says.

Software Review

Software Review Tools Off-The-Shelf Technical Review

How Cloudera Supports Zero Trust for Data

Cloudera

JUNE 7, 2023

The revised ZTMM is organized by five categories or pillars: identity, devices, networks, applications and workloads, and data, and four levels of maturity: traditional, initial, advanced, and optimal. The data is protected but it is also accessible by the people who need it. How does Cloudera support the evolution to optimal?

Data

Data Government Technical Review Policies

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Architecture

Architecture Data Storage Machine Learning

How To Deploy the ELK Stack on Kubernetes

Dzone - DevOps

OCTOBER 24, 2023

The ELK stack is an abbreviation for Elasticsearch, Logstash, and Kibana, which offers the following capabilities: Elasticsearch: a scalable search and analytics engine with a log analytics tool and application-formed database, perfect for data-driven applications.

How To

How To Analytics Scalability Storage

Accelerating generative AI requires the right storage

How to manage data integration during an acquisition

Webinars

Trending Sources

We’ll See You at the Gartner Data and Analytics Summit

Webinars

Want AI? Here’s how to get your data and infrastructure AI-ready

5 modern challenges in data integration and how CIOs can overcome them

What is data governance? Best practices for managing data assets

The New Way Companies are Harnessing Data at the Edge for Value Added in Real-Time

The impact of AI on edge computing

Unlocking the Power of AI with a Real-Time Data Strategy

Secure cloud fabric: Enhancing data management and AI development for the federal government

The 4 Core Features of Successful Data Governance Automation

Advance Your Data-first Business With a Robust ISV Ecosystem

Why You Want To Use Looker Studio For Data Visualization on BigQuery

Best Big Data Analytics Tools & Software for 2023

A Closer Look at The Next Phase of Cloudera’s Hybrid Data Lakehouse

Fundamentals of Data Engineering

14 in-demand cloud roles companies are hiring for

DDN raises the bar as data intensive analytics push storage systems

A history of tech adaptation for today’s changing business needs

Navigating the Data Lake: Insights from Building and Utilizing Data Lakes

Optimizing Medication Management: How AWS ETL Transforms Healthcare Data for a Leading PBM

A Case Study on Building Modern Analytics Architectures That Scale

CHAOSSEARCH Launches Industry-First Search and Analytics Platform for Cloud Storage

Building Self-service Cloud Analytics with Oracle Analytics Cloud (OAC) & Autonomous Data Warehouse (ADW)

Moving Enterprise Data From Anywhere to Any System Made Easy

History of MongoDB

AIOps Supercharges Storage-as-a-Service: What You Need to Know

Elevate your digital transformation with impactful sustainability

The 5G Requirement for Data Storage

Why Build a Data Warehouse in Snowflake?

5 hot IT budget investments — and 2 going cold

ODC-Noord: The Netherland’s northernmost government data center is committed to a zero carbon future

How Industry 4.0 Changes Predictive Maintenance From Mobile Apps And What It Means For The Future ?

Data Lake Engineering Services

7 Snowflake Alternatives to Help You Lower Costs

Boosting Node.js Performance and Efficiency with Redis

The Key Components of a Successful Data Lake Strategy

The Key Components of a Successful Data Lake Strategy

5 Technical Reasons for a Cloud Analytics Migration

The Growing Demand for Object Storage

Low code/no code tools reap IT benefits—with caveats

How Cloudera Supports Zero Trust for Data

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

How To Deploy the ELK Stack on Kubernetes

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