Cloudera

MAY 10, 2024

Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

Analytics 103

Analytics Open Source Virtualization Government 103

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

MARCH 16, 2021

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big?

Big Data 116

Big Data Healthcare Applications Data 116

CTOvision

FEBRUARY 17, 2015

From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Opens Data Refinery to Amazon Redshift and Cloudera Impala; Pushes the Limits of Analytics Through Blended, Governed Data Delivery On Demand. Pentaho 5.3:

Big Data 109

Big Data Analytics AWS Data 109

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

NOVEMBER 15, 2022

Jordan Tigani — a founding engineer at Google BigQuery, Google’s fully managed data analysis platform — was working as the chief product officer at SingleStore when he noticed that the vast majority of database workloads were small (less than 10GB in size) and low-bandwidth. MotherDuck today announced that it raised $47.5

Analytics 182

Analytics Open Source Systems Review Nonprofit 182

CTOvision

NOVEMBER 10, 2014

The paper captures design considerations for enterprise technologists that flow from the engineering work both Cloudera and Intel have been putting into both open source technologies and hardware design. Analysis Big Data CTO Cyber Security DoD and IC'

Big Data 112

Big Data Architecture Technical Review Data 112

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

CTOvision

OCTOBER 13, 2014

Editor’s Note: Pentaho’s open approach and value added enterprise capabilities are making it a very popular framework for knitting together organizational data holdings. PentahoWorld Keynotes Unveil Big Data Orchestration Platform Instrumental to Data-Driven Future. Advanced Data Security in Hadoop.

Big Data 105

Big Data Data Business Analytics Analytics 105

Cloudera

FEBRUARY 7, 2019

Who knew that in that search, the company would become the first organization to globally run SAS Viya, a cloud-optimized software, with HDP on GCP to enable modern analytics use cases powered by SAS analytics tools. Implementing a Modern Data Architecture. Reducing Analytic Time to Value by More Than 90 Percent.

Big Data 67

Big Data Analytics Google Cloud Cloud 67

Cloudera

SEPTEMBER 26, 2023

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle.

Technology 95

Technology Data Architecture Open Source 95

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies. User data collection is data about a user who is collected for market research purposes.

Big Data 52

Big Data Data Development Business Intelligence 52

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Temporal data and time-series analytics.

Big Data 85

Big Data Technology Tools Cloud 85

CTOvision

JULY 9, 2014

The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data? The data is too big, moves too fast, or does not fit the structures of your database architectures.

Big Data 114

Big Data Data CTO Fractional CTO 114

G2 Crowd Software

DECEMBER 5, 2017

Free and open-source database tools are typically more appealing to the everyday small business and app creator, so we’ve outlined some of the best ones, according to user reviews on G2 Crowd. Oracle released the first fully functional one in 1979, but today there are hundreds of proprietary and open-source options available.

Open Source 61

Open Source Software Review Software Technical Review 61

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. It covers the entire data analytics lifecycle, from data extraction to visualization and reporting, using Agile practices to speed up business results.

Analytics 75

Analytics DevOps Development Software Review 75

Invid Group

MARCH 19, 2024

Its algorithms examine enormous volumes of data to find patterns and make judgments or predictions rather than depend solely on strict instructions. ChatGPT is an excellent example of this technology, given that its architecture relies on sifting through large-scale datasets to learn patterns and generate human-like text.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Technical Review Artificial Intelligence 98

CTOvision

JANUARY 25, 2016

invited to participate in its January 2016 report entitled "The Forrester Wave TM : Big Data Hadoop Distributions, Q1 2016." Hortonworks is a rock when it comes to its promise to offer a 100% open source distribution. Hortonworks is a rock when it comes to its promise to offer a 100% open source distribution.

Big Data 60

Big Data Report Open Source Data 60

CTOvision

FEBRUARY 18, 2015

On Tuesday, January 27, 2015 CTOvision publisher and Cognitio Corp co-founder Bob Gourley hosted an event for federal big data professionals. The breakfast event focused on security for big data designs and featured the highly regarded security architect Eddie Garcia. Learn More about Cloudera here.

Big Data 119

Big Data Data Hardware Authentication 119

Cloudera

JUNE 7, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. Where data flows, ideas follow. Today, we are leading the way in hybrid data.

Data 112

Data Architecture Analytics Government 112

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. Iterations of the lakehouse.

Data 94

Data Analytics Open Source Architecture 94

CTOvision

SEPTEMBER 5, 2013

Splunk and Cloudera Ink Strategic Alliance to Bring Together Big Data Expertise. Market Leaders in Operational Intelligence and Hadoop Join Forces to Provide Answers to Big Data Challenges. “Splunk’s mission is to make data accessible, usable and valuable to everyone. The following is from: [link].

Big Data 105

Big Data Data Analytics Open Source 105

Hacker Earth Developers Blog

JANUARY 31, 2020

Early on, he worked as an Assistant Research Scientist at the Center of Data Science at New York University and as a Machine Learning Scientist at Amazon. He is extremely passionate about open source and open science and is on a mission to make high-quality ML methods and applications that are easily applicable and available for everyone.

Artificial Inteligence 362

Artificial Inteligence Artificial Intelligence Machine Learning Technical Advisors 362

Hacker Earth Developers Blog

JANUARY 31, 2020

Early on, he worked as an Assistant Research Scientist at the Center of Data Science at New York University and as a Machine Learning Scientist at Amazon. He is extremely passionate about open source and open science and is on a mission to make high-quality ML methods and applications that are easily applicable and available for everyone.

Artificial Inteligence 362

Artificial Inteligence Artificial Intelligence Machine Learning Technical Advisors 362

Altexsoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Cloudera

SEPTEMBER 5, 2018

While the Internet of Things (IoT) represents a significant opportunity, IoT architectures are often rigid, complex to implement, costly, and create a multitude of challenges for organizations. An Open, Modular Architecture for IoT. Its built-in security features enable analytics from the edge to the cloud. .

IoT 47

IoT Architecture Machine Learning Artificial Inteligence 47

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. “Users didn’t know how to organize their tools and systems to produce reliable data products.” ” Not a great scenario.

Tools 214

Tools Data Weak Development Team Big Data 214

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Altexsoft

SEPTEMBER 23, 2021

The larger the company, the more data it has to generate actionable insights. Because it is scattered across disparate systems, hardly available for analytical apps. Evidently, common storage solutions fail to provide a unified data view and meet the needs of companies for seamless data flow. What is Data Hub?

Architecture 52

Architecture Data Storage IoT 52

TIBCO - Connected Intelligence

MARCH 15, 2021

Building on Vivek’s enthusiasm, TIBCO is excited to announce today that we have incorporated support of two of our open-source solutions already available in TIBCO Messaging into TIBCO Cloud Messaging. The Evolution of Event Processing in the Era of Big Data. This was one of the side effects of the Big Data movement.

Open Source 26

Open Source SOA Cloud Microservices 26

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. Introduction. CRM platforms).

Scalability 94

Scalability Technical Review Data Analytics 94

TechCrunch

APRIL 5, 2022

Data.World, which today announced that it raised $50 million in Series C funding led by Goldman Sachs, looks to leverage cloud-based tools to deliver data discovery, data governance and big data analytics features with a corporate focus.

Enterprise 249

Enterprise Organization Data Government 249

Altexsoft

MAY 12, 2023

As the data world evolves, more formats may emerge, and existing formats may be adapted to accommodate new unstructured data types. Unstructured data and big data Unstructured and big data are related concepts, but they aren’t the same. MongoDB, Cassandra), and big data processing frameworks (e.g.,

Examples 59

Examples Tools Data Artificial Inteligence 59

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.

Data 101

Data Storage Architecture Big Data 101

Cloudera

DECEMBER 1, 2023

By addressing the critical aspects of security, governance, and trustable data, governments can develop AI solutions that are reliable, transparent, and aligned with their mission to better serve the public. The post Building Trust in Public Sector AI Starts with Trusting Your Data appeared first on Cloudera Blog.

Data 109

Data Government Artificial Intelligence Artificial Inteligence 109

CTOvision

JUNE 3, 2014

SAN JOSE, Calif. , June 3, 2014 /PRNewswire/ – Hadoop Summit – According to the O’Reilly Data Scientist Salary Survey , R is the most-used tool for data scientists, while Weka is a widely used and popular open source collection of machine learning algorithms.

Machine Learning 113

Machine Learning Artificial Inteligence Big Data Data 113

Cloudera

JULY 27, 2021

While billing used to be one of two critical things for any successful telco (the other being the network), today’s digital service providers prioritise channels, ecosystems, payments and cloud service architectures in enterprise architecture. Edge analytics by definition require in-network deployment.

Telecommunications 64

Telecommunications Data Architecture Big Data 64