Analytics and Storage - CTO Universe

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. 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

Generative AI Storage Scalability Artificial Intelligence

The top 15 big data and data analytics certifications

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

Big Data Analytics Data eLearning

Cloud storage startup Wasabi raises $250M to reach unicorn status

TechCrunch

SEPTEMBER 28, 2022

Two at the forefront are David Friend and Jeff Flowers, who co-founded Wasabi, a cloud startup offering services competitive with Amazon’s Simple Storage Service (S3). Wasabi, which doesn’t charge fees for egress or API requests, claims its storage fees work out to one-fifth of the cost of Amazon S3’s.

Storage

Storage Cloud Disaster Recovery Sport

Webinars

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

MORE WEBINARS

What is a data engineer? An analytics role in high demand

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

Data Engineering Analytics Engineering Data

What is data analytics? Analyzing and managing data for decisions

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

Analytics Data Analysis Business Analytics

Synthetic DNA startup Catalog partners with Seagate for its DNA-based data storage platform

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

Storage Artificial Inteligence Data Artificial Intelligence

What is a data engineer? An analytics role in high demand

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

Data Engineering Analytics Engineering Data

Tinybird adds $37 million to run realtime analytics APIs for you

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

Analytics Hotels Travel Retail

Mainframe data: hybrid cloud object store vs. tape

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

Cloud Data Storage Backup

Understanding Data Storage: Lakes vs. Warehouses

DevOps.com

FEBRUARY 7, 2021

Now more than ever, companies are looking for new ways to incorporate data analytics into their daily operations and leverage data-driven insights to improve business functions. The post Understanding Data Storage: Lakes vs. Warehouses appeared first on DevOps.com. However, understanding […].

Storage

Storage Artificial Inteligence Artificial Intelligence Data

Twaice raised $26M to scale its battery analytics software

TechCrunch

MAY 19, 2021

German battery analytics software company Twaice has been taking aim at this problem since its founding in 2018, and it announced Wednesday that it has raised $26 million in Series B funding led by Chicago-based Energize Ventures. Twaice also offers solutions before the battery even enters the vehicle or energy storage system.

Analytics

Analytics Software Energy Storage

Fast Analytics With MariaDB ColumnStore

Dzone - DevOps

JANUARY 19, 2024

It's a columnar storage engine that significantly speeds up data analytics. Well, inserts are not as fast as with InnoDB , so this is not the best option for operational/transactional databases but rather for analytical ones. Slow query times in large datasets are a common headache in database management. The price to pay?

Analytics

Analytics Storage Engineering Performance

Why Object Storage Is Essential for Analytics

Teradata

AUGUST 7, 2020

Companies now have choice as to the storage tiers they can use for analytics. Use these guidelines to pick the right mix of storage tiers for your use case.

Storage

Storage Analytics Guidelines Company

Coralogix streams $142M into its coffers to expand its production analytics into a full-stack observability platform

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

Analytics DevOps Storage Business Intelligence

The hybrid approach: Get the best of both mainframe and cloud

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.

Artificial Inteligence

Artificial Inteligence Cloud Artificial Intelligence Analytics

Winning with Automation: Modern Storage Experience

Dell EMC

SEPTEMBER 15, 2022

Data storage automation will drive productivity, accelerate outcomes with advanced analytics and create new opportunities for Enterprises.

Storage

Storage Analytics Enterprise Data

Dell and Databricks Announce Multicloud Analytics and AI Solution

Dell EMC

MAY 22, 2023

Dell and Databricks’ partnership will bring customers cloud-based analytics and AI using Databricks with data stored in Dell Object Storage.

Analytics

Analytics Storage Cloud Data

How to manage data integration during an acquisition

CIO

OCTOBER 20, 2023

Cloud-based analytics, generative AI, predictive analytics, and more innovative technologies will fall flat if not run on real-time, representative data sets. A hybrid cloud approach means data storage is scalable and accessible, so that more data is an asset—not a detriment.

Data

Data How To Quality Assurance Software Development

Data Ingestion for Batch/Near Real-Time Analytics

Dzone - DevOps

NOVEMBER 21, 2023

In the midst of our ever-expanding digital landscape, data management undergoes a metamorphic role as the custodian of the digital realm, responsible for the ingestion, storage, and comprehension of the immense volumes of information generated daily. Data ingestion: Ingest the data elements into a temporary or permanent storage for analysis.

Analytics

Analytics Data Storage Business Intelligence

Strategic storage is intelligent

Enterprise.nxt

MARCH 10, 2019

Analytics and AI-based decision-making, the complexities of multicloud computing, and data growth unpredictability drive the need for intelligent storage.

Storage

Storage Analytics Data

Organize and Process IoT Data Quickly Using AWS IoT Analytics

Cloud That

NOVEMBER 16, 2022

Because IoT data is generally unorganized and difficult to evaluate, experts must first format it before beginning the analytics process. AWS IoT Analytics will enable you to convert unstructured data to structured data and then analyze it. This blog will show you how to create a dataset with AWS IoT Analytics.

IoT

IoT AWS Analytics Data

Generative AI’s most noble mission: Improving and saving lives

CIO

NOVEMBER 20, 2023

How generative AI and AI can help Improving patient treatments: As a leader in precision medicine, the Translation Genomics Research Institute, or TGen, has seen the power of high-performance computing, fast processing, analytics, and AI bring next-level speed and capabilities in fighting disease. View the TGen customer case study.

Artificial Inteligence

Artificial Inteligence Generative AI Artificial Intelligence Storage

Optimizing Cloud Compute and Data Storage for Data Analytics

Actian

OCTOBER 24, 2019

When architecting your data warehouse solution, separating compute and data storage is extremely important for both operational sustainability and economic efficiency. Storage capacity is a function of time. Storage capacity is a function of time. Over time, the amount of data volume your company has will grow.

Storage

Storage Analytics Data Cloud

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., The post CHAOSSEARCH Launches Industry-First Search and Analytics Platform for Cloud Storage appeared first on DevOps.com.

Storage

Storage Analytics Industry Cloud

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

12 data science certifications that will pay off

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

Artificial Inteligence

Artificial Inteligence Data Machine Learning Azure

ANZ Bank’s Advances Data-Driven Analytics With Cloudera

Cloudera

JUNE 13, 2023

Data and analytics are the essential engines in this strategy which entails upgrading the bank’s core banking technology to deliver reliable, efficient, and secure services for their customers while safeguarding critical data.

Analytics

Analytics Data Banking Big Data

Cloudian Adds Object-Based Storage Platform Monitoring Tool

DevOps.com

JUNE 2, 2020

Jon Toor, chief marketing officer for Cloudian, said HyperIQ provides access to analytics and health checks that enables predictive maintenance, enhances security and optimizes storage utilization. The post Cloudian Adds Object-Based Storage Platform Monitoring Tool appeared first on DevOps.com.

Storage

Storage Tools Analytics Marketing

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

Scalyr Adds Hindsight Service to IT Analytics Portfolio

DevOps.com

NOVEMBER 16, 2020

Scalyr has moved to reduce the cost of observability by enabling DevOps teams to retain log and event data in S3-compatible object storage systems than use a pay-per-TB-scanned pricing model to interrogate that data. The post Scalyr Adds Hindsight Service to IT Analytics Portfolio appeared first on DevOps.com.

Analytics

Analytics Storage DevOps System

Instance Classes & Storage Options for Oracle to Azure VM Migrations

Datavail

JULY 15, 2021

Choosing the right instance class and instance storage for your Oracle to Microsoft Azure VM migration is essential for getting the most out of your technology investment. Are you working with a lot of analytical workloads or other use cases that demand significant memory? Instance Storage Options for Your Oracle to Azure Migration.

Azure

Azure Storage Resources Testing

Empowering Insights: Unleashing the Potential of Microsoft Fabric for Data Analytics

Dzone - DevOps

DECEMBER 18, 2023

Microsoft Fabric, a comprehensive data analytics platform, emerges as a key player, seamlessly integrating with Azure services to empower businesses with robust, flexible, and secure data workloads and data analytics capabilities. What Is Microsoft Fabric?

Analytics

Analytics Azure Data Big Data

The Security of Enterprise Storage – A Call to Action for CISOs

Infinidat

AUGUST 24, 2023

The Security of Enterprise Storage – A Call to Action for CISOs Adriana Andronescu Thu, 08/24/2023 - 04:51 Cyber criminals can infiltrate an enterprise infrastructure and stay there, undetected, for months at a time. They aren’t only attacking primary storage; they also attack secondary storage. But are they actually doing it?

Security

Security Storage Enterprise Malware

Dell EMC PowerScale and ECS Tackle Data Analytics with Cloudera CDP

Dell EMC

OCTOBER 14, 2020

As data teams continue to scale their Hadoop and analytics systems, the need increases for flexible compute and storage. To address these issues, many data teams pivot to architectures that allow for independent scaling of compute and storage in both Object and HDFS for Hadoop.

Analytics

Analytics Data Storage Architecture

Vertica in Eon Mode Now Available for Dell EMC Elastic Cloud Storage to Deliver High-Performance Analytics in On-Premises Environments

DevOps.com

MARCH 10, 2021

Combined Offering Provides More Choice to Leverage Cloud Innovation for Predictive Analytics Santa Clara, CA – March 10, 2021 – Vertica and Dell EMC today announced the general availability of Vertica in Eon Mode for Dell EMC Elastic Cloud Storage (ECS), delivering data-driven organizations more freedom to leverage cloud innovation for analytics.

Storage

Storage Analytics Performance Cloud

8 data strategy mistakes to avoid

CIO

JANUARY 24, 2024

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. RaceTrac is leveraging Alation’s Data Intelligence Platform to centralize data as well as provide self-service analytics for users as needed.

Strategy

Strategy Weak Development Team Data CTO Coach

A Case Study on Building Modern Analytics Architectures That Scale

Datavail

NOVEMBER 17, 2021

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. They decided it was time to build a modern analytics environment that could support their needs now and into the future. Learn More.

Case Study

Case Study Analytics Study Architecture

TransUnion transforms its business model with IT

CIO

APRIL 26, 2024

billion acquisition of data and analytics company Neustar in 2021, TransUnion has expanded into other services such as marketing, fraud detection and prevention, and robust analytical services. We’re modernizing existing products to get to this entire data analytics value chain.” But following its $3.1

Streaming Analytics in the Real World

Cloudera

AUGUST 31, 2020

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. The stories of organizations that have adopted streaming analytics speak for themselves.

Analytics

Analytics Airlines Off-The-Shelf Insurance

Optimizing the Energy Sector with Data Analytics

Cloudera

DECEMBER 20, 2022

In this respect, several studies project that a proper use of advanced analytics implies savings of between 5% and 7.5%. The impact of the use of different analytical techniques in this field increases the profitability of these companies by 5% to 10%, at the same time increasing the brand value by increasing customer satisfaction.

Energy

Energy Analytics Data Machine Learning

Scalyr Alters Log Analytics Economics

DevOps.com

APRIL 14, 2020

Scalyr today announced that its log analytics cloud service is now capable of ingesting over 200TBs of data per customer per day in real-time. The post Scalyr Alters Log Analytics Economics appeared first on DevOps.com.

Analytics

Analytics Cloud Data Company

What is a data architect? Skills, salaries, and how to become a data framework master

CIO

OCTOBER 13, 2023

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data

Data Database Administration Data Engineering Artificial Inteligence

Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

Analytics

Analytics Network Innovation IoT

Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Analytics

Analytics Open Source Government Machine Learning

Accelerating generative AI requires the right storage

The top 15 big data and data analytics certifications

Webinars

Trending Sources

Cloud storage startup Wasabi raises $250M to reach unicorn status

Webinars

What is a data engineer? An analytics role in high demand

What is data analytics? Analyzing and managing data for decisions

Synthetic DNA startup Catalog partners with Seagate for its DNA-based data storage platform

What is a data engineer? An analytics role in high demand

Tinybird adds $37 million to run realtime analytics APIs for you

Mainframe data: hybrid cloud object store vs. tape

Understanding Data Storage: Lakes vs. Warehouses

Twaice raised $26M to scale its battery analytics software

Fast Analytics With MariaDB ColumnStore

Why Object Storage Is Essential for Analytics

Coralogix streams $142M into its coffers to expand its production analytics into a full-stack observability platform

The hybrid approach: Get the best of both mainframe and cloud

Winning with Automation: Modern Storage Experience

Dell and Databricks Announce Multicloud Analytics and AI Solution

How to manage data integration during an acquisition

Data Ingestion for Batch/Near Real-Time Analytics

Strategic storage is intelligent

Organize and Process IoT Data Quickly Using AWS IoT Analytics

Generative AI’s most noble mission: Improving and saving lives

Optimizing Cloud Compute and Data Storage for Data Analytics

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

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

12 data science certifications that will pay off

ANZ Bank’s Advances Data-Driven Analytics With Cloudera

Cloudian Adds Object-Based Storage Platform Monitoring Tool

DDN raises the bar as data intensive analytics push storage systems

Scalyr Adds Hindsight Service to IT Analytics Portfolio

Instance Classes & Storage Options for Oracle to Azure VM Migrations

Empowering Insights: Unleashing the Potential of Microsoft Fabric for Data Analytics

The Security of Enterprise Storage – A Call to Action for CISOs

Dell EMC PowerScale and ECS Tackle Data Analytics with Cloudera CDP

Vertica in Eon Mode Now Available for Dell EMC Elastic Cloud Storage to Deliver High-Performance Analytics in On-Premises Environments

8 data strategy mistakes to avoid

A Case Study on Building Modern Analytics Architectures That Scale

TransUnion transforms its business model with IT

Streaming Analytics in the Real World

Optimizing the Energy Sector with Data Analytics

Scalyr Alters Log Analytics Economics

What is a data architect? Skills, salaries, and how to become a data framework master

Telecom Network Analytics: Transformation, Innovation, Automation

Minimizing Supply Chain Disruptions with Advanced Analytics

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