CIO

MAY 12, 2022

What are predictive analytics tools? Predictive analytics tools blend artificial intelligence and business reporting. But there are deeper challenges because predictive analytics software can’t magically anticipate moments when the world shifts gears and the future bears little relationship to the past. Highlights. Deployment.

Analytics 206

Analytics Tools Artificial Inteligence Open Source 206

CIO

JANUARY 20, 2023

Topping the list of executive priorities for 2023—a year heralded by escalating economic woes and climate risks—is the need for data driven insights to propel efficiency, resiliency, and other key initiatives. Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

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 203

Analytics Data Analysis Business Analytics 203

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 job description.

Data Engineering 197

Data Engineering Analytics Engineering Data 197

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

TechCrunch

JULY 12, 2022

SingleStore , a provider of databases for cloud and on-premises apps and analytical systems, today announced that it raised an additional $40 million, extending its Series F — which previously topped out at $82 million — to $116 million. The provider allows customers to run real-time transactions and analytics in a single database.

Storage 206

Storage Big Data Analytics Survey 206

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. Which brings me to the main topic of this presentation: how do we build analytic services and products in an age when data privacy has emerged as an important issue?

Analytics 186

Analytics Artificial Inteligence Data Machine Learning 186

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 178

Data Artificial Inteligence Artificial Intelligence Analytics 178

TechCrunch

OCTOBER 4, 2022

The company’s technology is what’s known as a relational database, meaning it uses a structure of rows and columns to identify and access data in relation to other data components in the database. Among other rivals, SingleStore competes with Imply , Oracle, Snowflake and MongoDB for relational database service market share.

Big Data 208

Big Data Storage Analytics Survey 208

The Crazy Programmer

NOVEMBER 6, 2021

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. A cloud architect has a profound understanding of storage, servers, analytics, and many more.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

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 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

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.

Big Data 78

Big Data Analytics Tools Applications 78

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 188

Data Big Data Systems Review Technical Review 188

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

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

TechCrunch

FEBRUARY 9, 2021

Data inflows. Big data was the jam a while back, but it turned out to be merely one piece in the broader data puzzle. We can see evidence of that in recent revenue growth at Databricks, which reached $425 million ARR in 2020 by building an analytics and AI service that sits on top of companies’ data.

Data 268

Data Big Data Storage Analytics 268

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

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. Batch processing.

Analytics 20

Analytics Data IoT Analysis 20

CIO

OCTOBER 13, 2023

Information/data governance architect: These individuals establish and enforce data governance policies and procedures. 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.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

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. Not finding what you’re looking for?

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

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 95

Big Data Data Artificial Intelligence Artificial Inteligence 95

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

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

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

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

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. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 96

Analytics Network Innovation Open Source 96

Cloudera

SEPTEMBER 15, 2022

Apache Ozone is a distributed, scalable, and high-performance object store , available with Cloudera Data Platform (CDP), that can scale to billions of objects of varying sizes. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. Diversity of workloads.

Storage 87

Storage System Artificial Inteligence Big Data 87

Altexsoft

APRIL 16, 2021

Later, this data can be: modified to maintain the relevance of what was stored, used by business applications to perform its functions, for example check product availability, etc. used for analytical purposes to understand how our business is running. So, we need a solution that’s capable of representing data from multiple dimensions.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

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. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 216

Business Intelligence Data Business Analytics Analytics 216

TechCrunch

SEPTEMBER 15, 2021

The startup was founded in Manchester (it now also has a base in Denver), and this makes it one of a handful of tech startups out of the city — others we’ve recently covered include The Hut Group, Peak AI and Fractory — now hitting the big leagues and helping to put it on the innovation map as an urban center to watch.

Artificial Inteligence 234

Artificial Inteligence Data Weak Development Team Artificial Intelligence 234

Perficient

NOVEMBER 17, 2024

Key features of the data fabric include: Data Cataloging Centralized metadata management and lineage. Semantic Modeling Retaining relationships, hierarchies, and KPIs for analytics. Federation and Replication Choose between connecting or replicating data. What is Databricks?

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

Cloudera

APRIL 6, 2022

Webb’s gimbaled antenna assembly, which includes the telescope’s high-data-rate dish antenna, must transmit about a Blu-ray’s worth of science data — that’s 28.6 The telescope’s storage ability is limited — 65 gigabytes — which requires regular sending back of data to keep from filling up the hard drive.

Big Data 103

Big Data Artificial Inteligence Data Machine Learning 103

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. .

Analytics 111

Analytics Open Source Government Machine Learning 111

Dell EMC

FEBRUARY 11, 2020

I’m a Business Development lead with the Dell Technologies Unstructured Data Solutions (UDS) team. In this role I drive go-to-market and enablement for enterprise data center storage offerings with many of our partners in the Data Analytics and AI Solutions space.

Analytics 95

Analytics Technology Data Center Storage 95

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 113

Data AWS Groups Knowledge Base 113

TechCrunch

DECEMBER 1, 2020

And as data workloads continue to grow in size and use, they continue to become ever more complex. On top of that, today there are a wide range of applications and platforms that a typical organization will use to manage source material, storage, usage and so on. Doing so manually can be time-consuming, if not impossible.

Tools 214

Tools Data Weak Development Team Big Data 214

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 52

Big Data Analytics Tools Data 52