Perficient

JANUARY 31, 2024

When you persist a dataset, Spark stores the data on disk or in memory, or a combination of the two, so that it can be retrieved quickly the next time it is needed. Methods Of Persistence Storage Levels We can Persist RDD in two ways. The persist() method can be used to specify the level of storage for the persisted data.

Storage 52

Storage Data Performance Resources 52

Xebia

MARCH 28, 2024

There has been an uptick in discussions surrounding the modern data stack, data mesh and self-service promising to solve many of your company’s data problems. Knowing a data modeling technique versus implementing it are two entirely different things. Teams creating their own data definitions.

Data 130

Data Technical Review Analytics Systems Review 130

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 305

Data Scalability Serverless Enterprise 305

CIO

OCTOBER 25, 2022

Data & Analytics is delivering on its promise. Every day, it helps countless organizations do everything from measure their ESG impact to create new streams of revenue, and consequently, companies without strong data cultures or concrete plans to build one are feeling the pressure. We discourage that thinking.

Strategy 351

Strategy Data Culture IoT 351

CIO

APRIL 25, 2024

This strategy alone — achieved with the DIY approach — was responsible for saving $300,000 when his team dug into expenses surrounding Google Cloud Platform log storage, resulting in his team moving the logs to a lower tier of cloud storage and rightsizing the data they retain to adhere to retention requirements.

Tools 225

Tools Cloud AWS Off-The-Shelf 225

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 323

Analytics Data Analysis Business Analytics 323

TechCrunch

JANUARY 24, 2023

In the enterprise, there’s been an explosive growth of data — think documents, videos, audio files, posts on social media and even emails. According to a Matillion and IDG survey, data volumes are growing by 63% per month in some organizations — and data’s coming from an increasing number of places.

Company 203

Company Data Storage Backup 203

CIO

JUNE 9, 2023

Such is the case with a data management strategy. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. For many organizations, the real challenge is quantifying the ROI benefits of data management in terms of dollars and cents. The second best time is now.”

Strategy 268

Strategy Data Transportation Exercises 268

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 330

Data Engineering Analytics Engineering Data 330

CIO

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions.

System 326

System Artificial Inteligence Data Analysis 326

CIO

JANUARY 30, 2024

For example, AI-driven chatbots can assist students by answering questions about study materials, topics, and courses. For example, realistic, digital simulations and virtual laboratories can be created for students. AI-capable data storage is a foundational element to moving forward and there is no shortcut.

Generative AI 226

Generative AI Education Storage Guidelines 226

CIO

APRIL 28, 2023

More countries are adopting laws designed to protect the privacy of citizens and local entities by defining how data can be securely collected, stored, and used. Data residency – the physical and geographic location where data and meta-data is stored and processed.

Data 226

Data Compliance Cloud Government 226

CIO

AUGUST 1, 2022

As companies lean into data-first modernization to deliver best-in-class experiences and drive innovation, protecting and managing data at scale become core challenges. Given the diversity of data and range of data-inspired use cases, it’s important to align with a robust partner ecosystem.

Strategy 224

Strategy Data Backup Disaster Recovery 224

CIO

SEPTEMBER 29, 2023

At the top of that list are data privacy and security as well as output accuracy. A lesser-known challenge is the need for the right storage infrastructure, a must-have enabler. To effectively deploy generative AI (and AI), organizations must adopt new storage capabilities that are different than the status quo.

Generative AI 327

Generative AI Banking Artificial Inteligence Organization 327

The Crazy Programmer

MAY 12, 2021

Companies everywhere are handling more data than ever and all these terabytes of data need to be stored somewhere. Should you store the data in a database, a data warehouse, or a data lake? Choosing the right data storage solution will depend greatly on how the data is going to be used.

Data 162

Data Healthcare IoT Pharmaceuticals 162

TechCrunch

APRIL 16, 2021

Peter Wang is CEO and co-founder of data science platform Anaconda. By 2025, 463 exabytes of data will be created each day, according to some estimates. For perspective, one exabyte of storage could hold 50,000 years of DVD-quality video.) The reality is that data by itself is insufficient to really influence human behavior.

Data 286

Data Machine Learning Artificial Inteligence Conference 286

Honeycomb

FEBRUARY 6, 2024

In today’s economic and regulatory environment, data sovereignty is increasingly top of mind for observability teams. The rules and regulations surrounding telemetry data can often be challenging to interpret, leaving many teams in the dark about what kind of data they can capture, how long it can be stored, and where it has to reside.

Data 98

Data Software Review Compliance Technical Review 98

CIO

MAY 24, 2023

The first published data governance framework was the work of Gwen Thomas, who founded the Data Governance Institute (DGI) and put her opus online in 2003. They already had a technical plan in place, and I helped them find the right size and structure of an accompanying data governance program. Focus on value,” she says.

Government 243

Government Weak Development Team Data Policies 243

Xebia

NOVEMBER 15, 2023

Encryption at rest is defined as the practice of encrypting data stored in any type of volume when not in transit. Cloud resources run in data centers, the same way on-premises resources do, but with a layer of sophistication to achieve abstraction and ease of usage for the customer. Isolation failure.

Cloud 130

Cloud Data Hardware Data Center 130

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 272

Artificial Inteligence Strategy Data Machine Learning 272

CIO

JULY 25, 2022

While researchers examined the pandemic in relation to how companies managed to keep afloat in such an unprecedented situation, auditors assessed the increased data vulnerability, lack of data compliance, and costs incurred by such events. An IBM report stated that data breaches now cost companies $4.24

Security 230

Security Data Compliance Enterprise 230

CIO

FEBRUARY 14, 2024

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. Data due diligence Generative AI especially has particular implications for data security, Mann says.

Artificial Inteligence 355

Artificial Inteligence Generative AI Software Review Development Team Review 355

CIO

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. What are some examples of data solutions in each of those buckets?

Data 214

Data Architecture Government Strategy 214

CIO

JANUARY 19, 2024

A recent example 1 is the partnership between Microsoft Xbox and Inworld AI, aiming to develop an AI toolset that dynamically generates gaming characters, dialogues, and quests. To capture AI and generative AI’s full potential, gaming companies must first obtain the right kind of storage infrastructure.

Generative AI 263

Generative AI Games Innovation Artificial Intelligence 263

Infinidat

APRIL 26, 2022

Software Driven Business Advantages in the Enterprise Storage Market. Not too many years ago, enterprise storage solutions were all about hardware-based innovation, delivering performance and functionality by adding dedicated and proprietary hardware components. Adriana Andronescu. Tue, 04/26/2022 - 22:00.

Storage 95

Storage Enterprise Software Marketing 95

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 310

IoT Technical Review Company Data 310

Infinidat

FEBRUARY 15, 2024

With fewer and fewer qualified personnel, this gap is creating real challenges to manage the data infrastructure, encompassing all aspects of IT from cybersecurity, networks and servers to containerized applications and enterprise storage. That capacity has actually grown to almost 100PB – still with only four storage administrators.

Storage 55

Storage Enterprise Technical Review Strategy 55

Infinidat

SEPTEMBER 13, 2023

Enterprise Storage – The Right Tool for the Right Job Adriana Andronescu Thu, 09/14/2023 - 02:23 Storage is not all the same. There’s high-end enterprise storage, mid-range storage, and entry-level storage. There is block, file, object, and hybrid cloud storage. Enterprise storage is not all created equal.

Storage 61

Storage Enterprise Tools Disaster Recovery 61

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. At the core of its strategy is the mountain of data that TransUnion has acquired — along with more than 25 companies — over decades.

Artificial Inteligence 232

Artificial Inteligence Generative AI Machine Learning Analytics 232

TechCrunch

MAY 11, 2022

It takes so long because the telemetry data that they use to analyze the problem is siloed — and specialized tools are used to look at each silo. The relationships, which range from things like customer accounts to ecommerce shopping carts, can be used by devs to investigate why an app misbehaved, for example, or suffered an outage.

Data 175

Data Technical Cofounder eCommerce Survey 175

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 307

Data Engineering Analytics Engineering Data 307

Xebia

JANUARY 3, 2022

A data pipeline component is nothing more than a normal application. Example data pipeline: ELT. The artifact is then run as part of your data pipeline. All of your data pipeline components can integrate with this to make the metrics available the same way as all the other applications running on the cluster.

Applications 130

Applications Data Metrics Storage 130

Xebia

JANUARY 3, 2022

A data pipeline component is nothing more than a normal application. Example data pipeline: ELT. The artifact is then run as part of your data pipeline. All of your data pipeline components can integrate with this to make the metrics available the same way as all the other applications running on the cluster.

Applications 130

Applications Data Metrics Storage 130

CIO

MARCH 8, 2023

As companies lean into data-first modernization to deliver best-in-class experiences and drive innovation, protecting and managing data at scale become core challenges. Given the diversity of data and range of data-inspired use cases, it’s important to align with a robust partner ecosystem.

Backup 130

Backup Data Disaster Recovery Storage 130

Xebia

AUGUST 8, 2023

In this blog , we looked at a simple solution to use DynamoDB as a cache to store data with a limited time to live. Also, DynamoDB is especially good at getting data from a possibly very large table by primary key. Also, DynamoDB is especially good at getting data from a possibly very large table by primary key.

Performance 130

Performance Data Lambda Storage 130

CIO

NOVEMBER 2, 2023

Other top concerns are data privacy and security challenges (31%) and lack of cloud security and cloud expertise (24%). After some time, people have understood the storage needs better based on usage and preventing data extract fees.” He went with cloud provider Wasabi for those storage needs. “We

Strategy 321

Strategy Cloud Generative AI Data Center 321

TechCrunch

MAY 18, 2022

Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. We agreed that the only viable solution was to have internal teams with domain expertise be responsible for annotating and curating training data.

Open Source 203

Open Source Weak Development Team Artificial Inteligence Data 203