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 98

Big Data Tools Data Storage 98

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 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

The Accidental Successful CIO

MAY 15, 2019

CIOs need to understand what they are going to do with big data Image Credit: Merrill College of Journalism Press Releases. As a CIO, when we think about big data we are faced with a number of questions having to do with the importance of information technology that we have not had to deal with in the past.

Big Data 85

Big Data Data Artificial Inteligence Machine Learning 85

CIO

JANUARY 20, 2023

2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. It’s About the Data For companies that have succeeded in an AI and analytics deployment, data availability is a key performance indicator, according to a Harvard Business Review report. [3]

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

The Crazy Programmer

SEPTEMBER 28, 2022

David’s main areas of investigation are as under: Parallel computing Computer architecture Distributed computing Workload Embedded system. He is famous for research on redundant arrays of inexpensive disks (RAID) storage. Books written by David on computer architecture are extensively used in computer science education.

Software Engineering 173

Software Engineering Architecture Storage Education 173

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. READ MORE.

Big Data 97

Big Data Data Artificial Inteligence Artificial Intelligence 97

CIO

APRIL 1, 2025

Cohesive, structured data is the fodder for sophisticated mathematical models that generates insights and recommendations for organizations to take decisions across the board, from operations to market trends. But with big data comes big responsibility, and in a digital-centric world, data is coveted by many players.

Data 88

Data Authentication Compliance Artificial Intelligence 88

Cloudera

JULY 9, 2019

Today, much of that speed and efficiency relies on insights driven by big data. Yet big data management often serves as a stumbling block, because many businesses continue to struggle with how to best capture and analyze their data. Unorganized data presents another roadblock.

Big Data 78

Big Data Data Agile Enterprise 78

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 270

Engineering Wireless 3D Programming 270

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API. Diversity of workloads.

Storage 87

Storage System Artificial Inteligence Big Data 87

Perficient

NOVEMBER 17, 2024

Datasphere empowers organizations to unify and analyze their enterprise data landscape without the need for complex extraction or rebuilding processes. This blog explores the key features of SAP Datasphere and Databricks, their complementary roles in modern data architectures, and the business value they deliver when integrated.

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

AWS Machine Learning - AI

OCTOBER 31, 2024

By implementing this architectural pattern, organizations that use Google Workspace can empower their workforce to access groundbreaking AI solutions powered by Amazon Web Services (AWS) and make informed decisions without leaving their collaboration tool. In the following sections, we explain how to deploy this architecture.

Generative AI 123

Generative AI Lambda Applications AWS 123

TechCrunch

DECEMBER 1, 2020

DevOps continues to get a lot of attention as a wave of companies develop more sophisticated tools to help developers manage increasingly complex architectures and workloads. And as data workloads continue to grow in size and use, they continue to become ever more complex. Doing so manually can be time-consuming, if not impossible.

Tools 214

Tools Data Weak Development Team Big Data 214

CIO

MAY 10, 2024

Service-oriented architecture (SOA) Service-oriented architecture (SOA) is an architectural framework used for software development that focuses on applications and systems as independent services. Because of this, NoSQL databases allow for rapid scalability and are well-suited for large and unstructured data sets.

SOA 195

SOA Linux Video Architecture 195

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

OverOps

APRIL 23, 2019

The main features of a hybrid cloud architecture can be narrowed down into the following: An organization’s on-premises data center, public and private cloud resources and workloads are bound together using conventional data management, while at the same time, staying separate. Increased Architectural Flexibility.

Cloud 189

Cloud Data Center Architecture AWS 189

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Telecommunications 84

Telecommunications Architecture Data Government 84

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 78

Big Data Analytics Tools Applications 78

CTOvision

FEBRUARY 4, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

CTOvision

JANUARY 13, 2015

From NGA''s Press Release: NGA, DigitalGlobe application a boon to raster data storage, processing. MapReduce Geo, or MrGeo , is a geospatial toolkit designed to provide raster-based geospatial capabilities performable at scale by leveraging the power and functionality of cloud-based architecture. January 13, 2015.

Open Source 138

Open Source Applications Big Data Analysis 138

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. Data engineer vs. data architect.

Data Engineering 197

Data Engineering Analytics Engineering Data 197

Linux Academy

JANUARY 1, 2020

Students will learn by doing through installing and configuring containers and thoughtfully selecting a persistent storage strategy. Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” AWS Essentials.

Linux 31

Linux Course AWS Google Cloud 31

CIO

JUNE 1, 2023

Analysts IDC [1] predict that the amount of global data will more than double between now and 2026. Meanwhile, F oundry’s Digital Business Research shows 38% of organizations surveyed are increasing spend on Big Data projects.

Backup 167

Backup Enterprise Data Artificial Intelligence 167

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 203

Data Engineering Analytics Engineering Data 203

AWS Machine Learning - AI

NOVEMBER 20, 2024

The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in an Amazon Simple Storage Service (Amazon S3) bucket. Solution overview Amazon Q Business is a fully managed, generative AI-powered assistant that helps enterprises unlock the value of their data and knowledge.

Data 111

Data AWS Groups Knowledge Base 111

Netflix Tech

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 85

Storage Data Resources Data Engineering 85

Cloudera

APRIL 22, 2021

Today’s enterprise data analytics teams are constantly looking to get the best out of their platforms. Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Supports Disaggregation of compute and storage.

Data 101

Data Storage Architecture Big Data 101

Linux Academy

JANUARY 30, 2020

Students will learn by doing through installing and configuring containers and thoughtfully selecting a persistent storage strategy. Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” AWS Essentials.

Linux 29

Linux Course AWS Google Cloud 29

CIO

MAY 12, 2022

Supports larger data management architecture; modular options available. The goal of Alteryx’s Analytic Process Automation (APA) platform is to help you build a pipeline that cleans data before applying the best data science and machine learning algorithms. On premises or in the cloud. On request. Free trial. Free trial.

Analytics 206

Analytics Tools Artificial Inteligence Open Source 206

CTOvision

OCTOBER 27, 2014

Big Data Product Watch 10/17/14: Big Three Make Big Moves. — dominated Big Data news this week, while the third, MapR Technologies Inc., DataDirect Networks combines IBM GPFS, Storage Fusion for HPC. Cloudera CTO on Big Data analytics and security risks. and Hortonworks Inc.

Technical Review 103

Technical Review Technology Big Data Firewall 103

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

Altexsoft

JUNE 25, 2019

It’s necessary to figure out how to get sales data from its dedicated database talk with inventory records kept in a SQL server , for instance. This creates the necessity for integrating data in unified storage where data is collected, reformatted, and ready for use – data warehouse. Data warehouse storage.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Altexsoft

OCTOBER 24, 2019

Similar to humans companies generate and collect tons of data about the past. And this data can be used to support decision making. While our brain is both the processor and the storage, companies need multiple tools to work with data. And one of the most important ones is a data warehouse. Classic data warehouse.

Architecture 50

Architecture Enterprise Data Technical Review 50

Linux Academy

DECEMBER 1, 2019

Students will learn by doing through installing and configuring containers and thoughtfully selecting a persistent storage strategy. Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” AWS Essentials.

Linux 26

Linux Course AWS Google Cloud 26

AWS Machine Learning - AI

FEBRUARY 26, 2024

Our proposed architecture provides a scalable and customizable solution for online LLM monitoring, enabling teams to tailor your monitoring solution to your specific use cases and requirements. A modular architecture, where each module can intake model inference data and produce its own metrics, is necessary.

Artificial Inteligence 140

Artificial Inteligence AWS Lambda Metrics 140

Altexsoft

JANUARY 14, 2021

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. Data warehouse architecture.

Backup 115

Backup Azure Software Review Architecture 115

CIO

MARCH 24, 2023

A framework for managing data 10 master data management certifications that will pay off Big Data, Data and Information Security, Data Integration, Data Management, Data Mining, Data Science, IT Governance, IT Governance Frameworks, Master Data Management

Government 214

Government Data Technical Review Policies 214