Big Data, Data and Storage

CIOs must mind their own data confidence gap

CIO

APRIL 17, 2025

As far as many C-suite business and IT executives are concerned, their company data is in great shape, capable of fueling data-driven decision-making and delivering AI-powered solutions. That emphasis can erode an organizations data foundation over time. Teams tend to prioritize short-term wins over a long-term outlook.

Data

Data Weak Development Team Fractional CTO Software Review

Progress for big data in Kubernetes

O'Reilly Media - Data

SEPTEMBER 11, 2018

It has become much more feasible to run high-performance data platforms directly inside Kubernetes. The problem is that data lasts a long time and takes a long time to move. The life cycle of data is very different than the life cycle of applications. That doesn’t work out well if you have a lot of state in a few containers.

Big Data

Big Data Data Storage Software Review

It's time to establish big data standards

O'Reilly Media - Data

AUGUST 16, 2018

The deployment of big data tools is being held back by the lack of standards in a number of growth areas. Technologies for streaming, storing, and querying big data have matured to the point where the computer industry can usefully establish standards. Storage engine interfaces. Storage engine interfaces.

Big Data

Big Data Data Storage Azure

Webinars

Agent Tooling: Connecting AI to Your Tools, Systems & Data

Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

MORE WEBINARS

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

A Timeline of Big Data Analytics

CTOvision

SEPTEMBER 12, 2016

The world seems to run on big data nowadays. In fact, it’s sometimes difficult to remember a time when businesses weren’t intensely focused on big data analytics. It’s equally difficult to forget that big data is still relatively new to the mainstream. Rick Delgado. Codd of IBM.

Big Data

Big Data Analytics Data Storage

Unify structured data in Amazon Aurora and unstructured data in Amazon S3 for insights using Amazon Q

AWS Machine Learning - AI

NOVEMBER 20, 2024

In today’s data-intensive business landscape, organizations face the challenge of extracting valuable insights from diverse data sources scattered across their infrastructure. The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in an Amazon Simple Storage Service (Amazon S3) bucket.

Data

Data AWS Groups Knowledge Base

How DPDP Act will define data privacy in the digital-first world

CIO

APRIL 1, 2025

In CIOs 2024 Security Priorities study, 40% of tech leaders said one of their key priorities is strengthening the protection of confidential data. But with big data comes big responsibility, and in a digital-centric world, data is coveted by many players.

Data

Data Authentication Compliance Artificial Inteligence

Dassana pulls in $5M seed to transform log storage and analysis

TechCrunch

APRIL 21, 2022

He said that everywhere he went, he used logging software and it almost invariably resulted in a big bill, something he set out to change when he launched Dassana. Logging involves a lot of data related to application performance, operations and security. If you try to cut costs around logging, it generally.

Storage

Storage Analysis Fashion Big Data

DevOps’ Data Storage Problem

DevOps.com

OCTOBER 23, 2020

When the value of big data was finally embraced, thanks to new analysis capabilities developed in the late nineties and early aughts, the industry adapted its mindset toward storage by investing in on-premises data centers to help store the data that would drive better business decisions. When […].

Storage

Storage DevOps Data Data Center

Monte Carlo raises $25M for its data observability service

TechCrunch

FEBRUARY 9, 2021

This morning Monte Carlo , a startup focused on helping other companies better monitor their data inflows, announced that it has closed a $25 million Series B. Data inflows. Big data was the jam a while back, but it turned out to be merely one piece in the broader data puzzle.

Data

Data Big Data Storage Analytics

What Are The Best Big Data Cloud Storage Providers? Here Are The Top 6

CTOvision

MAY 11, 2020

Unless you have the resources for building and maintaining large amounts of IT infrastructure, the best place for most organizations’ Big Data these days is in the cloud. Using cloud […].

Big Data

Big Data Cloud Storage Data

Integrating Key Vault Secrets with Azure Synapse Analytics

Apiumhub

DECEMBER 9, 2024

Azure Key Vault Secrets offers a centralized and secure storage alternative for API keys, passwords, certificates, and other sensitive statistics. Azure Key Vault is a cloud service that provides secure storage and access to confidential information such as passwords, API keys, and connection strings. What is Azure Key Vault Secret?

Azure

Azure Analytics Storage Machine Learning

Reliable and efficient data storage infrastructure is key to overcoming the challenges of the Yottabyte Age

CIO

JUNE 27, 2023

Data volumes continue to grow, making it increasingly difficult to deal with the explosive growth. Huawei predicts that by 2030, the total data generated worldwide will exceed one YB, equivalent to 2 80 bytes or a quadrillion gigabytes. These applications require faster parallel processing of data in diverse formats.

Storage

Storage Infrastructure Data Data Center

Building a Beautiful Data Lakehouse

CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data

Data Artificial Inteligence Artificial Intelligence Analytics

Bedrock modernizes seafloor mapping with autonomous sub and cloud-based data

TechCrunch

AUGUST 19, 2021

Fortunately Bedrock is here to drag that mapping process into the 21st century with its autonomous underwater vehicle and modern cloud-based data service. “We believe we’re the first cloud-native platform for seafloor data,” said Anthony DiMare, CEO and cofounder (with CTO Charlie Chiau) of Bedrock.

Technical Cofounder

Technical Cofounder Cloud Data Off-The-Shelf

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

CIO

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data

Data Data Engineering Database Administration Artificial Inteligence

Databand raises $14.5M led by Accel for its data pipeline observability tools

TechCrunch

DECEMBER 1, 2020

In the latest development, Databand — an AI-based observability platform for data pipelines, specifically to detect when something is going wrong with a datasource when an engineer is using a disparate set of data management tools — has closed a round of $14.5 ” Not a great scenario. .”

Tools

Tools Data Weak Development Team Big Data

5 key drivers for getting more value from your data

O'Reilly Media - Data

JUNE 5, 2018

As enterprises mature their big data capabilities, they are increasingly finding it more difficult to extract value from their data. This is primarily due to two reasons: Organizational immaturity with regard to change management based on the findings of data science.

Data

Data Big Data Systems Review Technical Review

Matillion raises $150M at a $1.5B valuation for its low-code approach to integrating disparate data sources

TechCrunch

SEPTEMBER 15, 2021

Businesses and the tech companies that serve them are run on data. At its most challenging, though, data can represent a real headache: there is too much of it, in too many places, and too much of a task to bring it into any kind of order. Today, it is announcing a big round of investment — $150 million at a $1.5

Artificial Inteligence

Artificial Inteligence Data Weak Development Team Artificial Intelligence

Top 10 Highest Paying IT Jobs in India

The Crazy Programmer

NOVEMBER 6, 2021

Data Scientist. Data scientist is the most demanding profession in the IT industry. Currently, the demand for data scientists has increased 344% compared to 2013. hence, if you want to interpret and analyze big data using a fundamental understanding of machine learning and data structure. Big Data Engineer.

Artificial Inteligence

Artificial Inteligence Blockchain Software Review Artificial Intelligence

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

Hadoop vs Spark: Main Big Data Tools Explained

Altexsoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work?

Big Data

Big Data Tools Data Storage

The ethics of data flow

O'Reilly Media - Data

SEPTEMBER 11, 2018

If we’re going to think about the ethics of data and how it’s used, then we have to take into account how data flows. Data, even “big data,” doesn’t stay in the same place: it wants to move. In Privacy in Context , Helen Nissenbaum connects data’s mobility to privacy and ethics.

Data

Data Backup Advertising Insurance

SingleStore raises additional $36M to grow its database business

TechCrunch

JULY 12, 2022

The fundraising perhaps reflects the growing demand for platforms that enable flexible data storage and processing. One increasingly popular application is big data analytics, or the process of examining data to uncover patterns, correlations and trends (e.g., customer preferences).

Storage

Storage Big Data Analytics Survey

Unravel Data lands $50M to make sense of complex data stacks

TechCrunch

SEPTEMBER 28, 2022

The modern data stack consists of hundreds of tools for app development, data capture and integration, orchestration, analysis and storage. ” Agarwal and Babu met at Duke University, where Shivnath was a tenured professor researching how to make data-intensive compute systems easier to manage.

Data

Data Banking Machine Learning Artificial Inteligence

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

12 data science certifications that will pay off

CIO

JANUARY 19, 2024

Data scientist is one of the hottest jobs in IT. Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024.

Artificial Inteligence

Artificial Inteligence Data Machine Learning Azure

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

CIO

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Data Engineering

Data Engineering Analytics Engineering Data

What is business intelligence? Transforming data into business insights

CIO

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Improved customer experience: Ready access to data can help employees charged with customer satisfaction provide better experiences.

Business Intelligence

Business Intelligence Data Business Analytics Analytics

The Evolution of the Data Warehouse in the Big Data Era

Dell EMC

MAY 28, 2020

About 20 years ago, I started my journey into data warehousing and business analytics. Over all these years, it’s been interesting to see the evolution of big data and data warehousing, driven by the rise of artificial intelligence and widespread adoption of Hadoop.

Big Data

Big Data Data Artificial Inteligence Artificial Intelligence

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

CIO

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. The data engineer role.

Data Engineering

Data Engineering Analytics Engineering Data

Space-Based AI Shows the Promise of Big Data

Cloudera

APRIL 6, 2022

At a distance of a million miles from Earth, the James Webb Space Telescope is pushing the edge of data transfer capabilities. But first it must pass a rigorous, months-long commissioning period to make sure that the data will get back to Earth properly. How to store and analyze data in space. The observatory launched Dec.

Big Data

Big Data Artificial Inteligence Data Machine Learning

SingleStore raises $30M more to brings its database tech to new customers

TechCrunch

OCTOBER 4, 2022

“SingleStore helps businesses adapt more quickly, embrace diverse data and accelerate digital innovation by operationalizing all data through one platform,” Verma said. And according to one survey , the number of firms investing more than $50 million a year in big data and AI initiatives rose to 33.9%

Big Data

Big Data Storage Analytics Survey

51 Latest Seminar Topics for Computer Science Engineering (CSE)

The Crazy Programmer

DECEMBER 13, 2020

Big Data Analysis for Customer Behaviour. Big data is a discipline that deals with methods of analyzing, collecting information systematically, or otherwise dealing with collections of data that are too large or too complex for conventional device data processing applications. Data Warehousing.

Engineering

Engineering Wireless 3D Programming

Astera Labs, a fabless chip startup, nabs $50M at a $950M valuation to remove bottlenecks in high-bandwidth cloud applications

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

Artificial Inteligence Applications Cloud Artificial Intelligence

Zesty lands $75M for tech that adjusts cloud usage to save money

TechCrunch

SEPTEMBER 13, 2022

“DevOps engineers … face limitations such as discount program commitments and preset storage volume capacity, CPU and RAM, all of which cannot be continuously adjusted to suit changing demand,” Melamedov said in an email interview. He briefly worked together with Baikov at big data firm Feedvisor.

Cloud

Cloud Storage DevOps Case Study

Optimizing data warehouse storage

Netflix Tech

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage

Storage Data Resources Data Engineering

Resilient data backup and recovery is critical to enterprise success

CIO

JUNE 1, 2023

As businesses digitally transform and leverage technology such as artificial intelligence, the volume of data they rely on is increasing at an unprecedented pace. Analysts IDC [1] predict that the amount of global data will more than double between now and 2026.

Backup

Backup Enterprise Data Artificial Inteligence

Big Data Analytics: How It Works, Tools, and Real-Life Applications

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data

Big Data Analytics Tools Applications

How to build analytic products in an age when data privacy has become critical

O'Reilly Media - Data

MAY 3, 2018

Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products. The end result being that there’s even a more heightened awareness around data privacy, and people are acknowledging that problems go beyond a few companies or a few people.

Analytics

Analytics Artificial Inteligence Data Machine Learning

What is Data Engineering: Explaining Data Pipeline, Data Warehouse, and Data Engineer Role

Altexsoft

JUNE 25, 2019

Being at the top of data science capabilities, machine learning and artificial intelligence are buzzing technologies many organizations are eager to adopt. However, they often forget about the fundamental work – data literacy, collection, and infrastructure – that must be done prior to building intelligent data products.

Data Engineering

Data Engineering Engineering Data Artificial Inteligence

Re-Thinking the Storage Infrastructure for Business Intelligence

Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

Business Intelligence

Business Intelligence Storage Infrastructure Artificial Inteligence

Data Warehouse Vs. Data Lake (Vs. Data Mart): A Complete Breakdown

CloudZero

MAY 21, 2021

Big data analytics help organizations use data to explore both new and improvement opportunities. Whichever cloud data platform you choose, there are two data storage technologies you will want to understand.

Data

Data Big Data Storage Analytics

Mastering the Transition: From Amazon EMR to EMR on EKS

Dzone - DevOps

FEBRUARY 5, 2025

Amazon Elastic MapReduce (EMR) is a platform to process and analyze big data. This brings a unified approach to manage and orchestrate both compute and storage resources. Traditional EMR runs on a cluster of Amazon EC2 instances managed by AWS. EMR on EKS integrates Amazon EMR with Amazon Elastic Kubernetes Service (EKS).

Big Data

Big Data AWS Storage Infrastructure

CIOs must mind their own data confidence gap

Progress for big data in Kubernetes

It's time to establish big data standards

Webinars

The top 15 big data and data analytics certifications

A Timeline of Big Data Analytics

Unify structured data in Amazon Aurora and unstructured data in Amazon S3 for insights using Amazon Q

How DPDP Act will define data privacy in the digital-first world

Dassana pulls in $5M seed to transform log storage and analysis

DevOps’ Data Storage Problem

Monte Carlo raises $25M for its data observability service

What Are The Best Big Data Cloud Storage Providers? Here Are The Top 6

Integrating Key Vault Secrets with Azure Synapse Analytics

Reliable and efficient data storage infrastructure is key to overcoming the challenges of the Yottabyte Age

Building a Beautiful Data Lakehouse

Bedrock modernizes seafloor mapping with autonomous sub and cloud-based data

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

Databand raises $14.5M led by Accel for its data pipeline observability tools

5 key drivers for getting more value from your data

Matillion raises $150M at a $1.5B valuation for its low-code approach to integrating disparate data sources

Top 10 Highest Paying IT Jobs in India

What is data analytics? Analyzing and managing data for decisions

Hadoop vs Spark: Main Big Data Tools Explained

The ethics of data flow

SingleStore raises additional $36M to grow its database business

Unravel Data lands $50M to make sense of complex data stacks

What is data governance? Best practices for managing data assets

12 data science certifications that will pay off

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

What is business intelligence? Transforming data into business insights

The Evolution of the Data Warehouse in the Big Data Era

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

Space-Based AI Shows the Promise of Big Data

SingleStore raises $30M more to brings its database tech to new customers

51 Latest Seminar Topics for Computer Science Engineering (CSE)

Astera Labs, a fabless chip startup, nabs $50M at a $950M valuation to remove bottlenecks in high-bandwidth cloud applications

Zesty lands $75M for tech that adjusts cloud usage to save money

Optimizing data warehouse storage

Resilient data backup and recovery is critical to enterprise success

Big Data Analytics: How It Works, Tools, and Real-Life Applications

How to build analytic products in an age when data privacy has become critical

What is Data Engineering: Explaining Data Pipeline, Data Warehouse, and Data Engineer Role

Re-Thinking the Storage Infrastructure for Business Intelligence

Data Warehouse Vs. Data Lake (Vs. Data Mart): A Complete Breakdown

Mastering the Transition: From Amazon EMR to EMR on EKS

Stay Connected