CTOvision

FEBRUARY 28, 2014

27, 2014 (GLOBE NEWSWIRE) — From his office in Langley, Va., Notable companies the firm has backed include YouTube, Nimble Storage, Practice Fusion, Aruba Networks, Quid, Omicia and Stem CentRx among many others. San Francisco, Feb.

CTO Coach 118

CTO Coach Storage Government Healthcare 118

CTOvision

JUNE 3, 2014

Jun/03/2014. The addition will immediately deliver enterprise-grade data encryption and key management, addressing head on the challenges associated with securing and processing sensitive and legally protected data within the Hadoop ecosystem. Cloudera Strengthens Hadoop Security with Acquisition of Gazzang. About Gazzang.

Big Data 108

Big Data Open Source Weak Development Team Compliance 108

CTOvision

JANUARY 15, 2014

We have been impressed with Koverse’s technology and people, and their commitment to helping customers make better use of big data more quickly. Our partnership will ensure that we continue to help existing customers achieve big data success, and are able to repeat that success with new customers.” – bg.

Enterprise 105

Enterprise Big Data Data Analytics 105

CTOvision

FEBRUARY 25, 2014

NIST is convening a collective of experienced practitioners, scientists, engineers and thought leaders to continue to advance the community''s ability to deal with data. This group will meet in a symposium format 4 and 5 March 2014 at the NIST campus in Gaithersburg MD. Big Data Cyber Security DoD and IC Health IT Research'

Data 77

Data Big Data Storage Research 77

CTOvision

AUGUST 7, 2014

Hadoop-based machine and log data management solution offers dramatic improvements in scalability, manageability and total cost of ownership. August 5, 2014 — X15 Software, Inc., Machine data is a valuable and fast-growing category of Big Data. Analysis Architecture Big Data Apache Hadoop bigdata'

Enterprise 101

Enterprise Software Data Big Data 101

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Dzone - DevOps

FEBRUARY 16, 2023

Too Much Data on My Plate The choice of data warehouses was never high on my worry list until 2021. I have been working as a data engineer for a Fintech SaaS provider since its incorporation in 2014. In the company's infancy, we didn't have too much data to juggle. That was not good enough.

Data 87

Data Storage ChatGPT Fintech 87

Altexsoft

APRIL 16, 2021

A typical OLAP system will include the following components that perform dedicated functions to handle analytical queries: Data source. This could be a transactional database or any other storage we take data from. OLAP database is the place where we store data for analysis. Data operations in OLTP.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Xebia

JANUARY 19, 2023

The following quotes date back to those years: Data Engineers set up and operate the organization’s data infrastructure, preparing it for further analysis by data analysts and scientist. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink. Data disappears.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Cloudera

AUGUST 22, 2024

Established in 2014, this center has become a cornerstone of Cloudera’s global strategy, playing a pivotal role in driving the company’s three growth pillars: accelerating enterprise AI, delivering a truly hybrid platform, and enabling modern data architectures.

Innovation 67

Innovation Machine Learning Artificial Inteligence Technical Review 67

Ruminations of a Programmer

DECEMBER 31, 2014

I look forward to 2015 as the year when randomized algorithms, probabilistic techniques and data structures become more pervasive and mainstream. The primary driving factors for this will be more and more prevalence of big data and the necessity to process them in near real time using minimal (or constant) memory bandwidth.

Data 54

Data Machine Learning Artificial Inteligence Analytics 54

Kentik

JULY 11, 2016

Data Centers Need Big Data Network Analytics, But as SaaS. The announcement is significant for Cisco in part because it creates expectations of data center functionality to which competitors such as HP and Dell/EMC will likely have to respond. In a recent post I discussed some of the factors driving that need.

Data Center 40

Data Center Big Data Hardware Analytics 40

Kentik

NOVEMBER 28, 2016

To do so successfully, service providers will need to embrace big data as a key element of powerful DDoS protection. Back in 2014 — long ago in Internet time — 41% of organizations globally were hit by DDoS attacks, with three quarters of those (78%) targeted twice or more in the year. Big Data Enhances Accuracy.

Security 40

Security Big Data Analytics Network 40

AWS Machine Learning - AI

JUNE 3, 2024

For Data flow name , enter a name (for example, AssessingMentalHealthFlow ). SageMaker Data Wrangler will open. You can import data from multiple sources, ranging from AWS services, such as Amazon Simple Storage Service (Amazon S3) and Amazon Redshift, to third-party or partner services, including Snowflake or Databricks.

Generative AI 125

Generative AI Innovation Artificial Inteligence AWS 125

Altexsoft

MARCH 30, 2020

Sensors stream signals to data storage through an IoT gateway, a physical device or software program that serves as a bridge between hardware and cloud facilities. It preprocesses and filters data from IIoT thus reducing its amount before feeding to the data center. Central data storage. chemical content.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

Altexsoft

APRIL 26, 2022

The former extracts and transforms information before loading it into centralized storage while the latter allows for loading data prior to transformation. The platform provides fast, flexible, and easy-to-use options for data storage, processing, and analysis. Each node has its own disk storage. What is Snowflake?

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Existek

JANUARY 11, 2022

They provided a few services like computing, Azure Bob storage, SQL Azure, and Azure Service Bus. For example, they considerably revised the cloud strategy due to the need to transform the delivery model from PaaS to IaaS, thus renaming Windows Azure to Microsoft Azure in 2014. . Migration and transfer. Business apps. Game tech .

Azure 52

Azure AWS Cloud How To 52

Altexsoft

FEBRUARY 24, 2023

Clearly, there must be a mechanism to coordinate the work of such complex distributed systems, and that’s exactly what Kubernetes was designed for by Google back in 2014. Each pod, in turn, holds a container or several containers with common storage and networking resources which together make a single microservice.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Strategy Driven

MARCH 30, 2020

Despite major turbulences (like the one of 2014), OPEC has successfully managed the supply/demand in the past. Hence, LNG is bound to revolutionize fuel shipping and storage. Companies will have to become more agile, automated, and data-driven in order to survive. The organization kept the prices from fluctuating too wildly.

Industry 29

Industry Energy Travel Sustainability 29

Instaclustr

OCTOBER 14, 2019

Ben shared lots of revealing graphs of metrics relevant to community health, including trends in the number of issues created and resolved since 2014, code additions and subtractions, code commits, committer stats (there are more now than 2017), release activity, commits by top contributors, google search term trends, and database engines ranking.

Technical Review 36

Technical Review Technology Report Open Source 36

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? Let’s see where it can come from.

Big Data 116

Big Data Healthcare Applications Data 116

Instaclustr

OCTOBER 14, 2019

Ben shared lots of revealing graphs of metrics relevant to community health, including trends in the number of issues created and resolved since 2014, code additions and subtractions, code commits, committer stats (there are more now than 2017), release activity, commits by top contributors, google search term trends, and database engines ranking.

Technical Review 28

Technical Review Technology Report Open Source 28

LeanEssays

JANUARY 21, 2016

Big Data 3. He claimed that “the core functions of IT – data storage, data processing, and data transport” had become commodities, just like electricity, and they no longer provided differentiation. So they had to solve the problem of using multiple machines for data storage and analysis.

Software Review 55

Software Review Innovation Software Technical Advisors 55

Confluent

FEBRUARY 13, 2019

Reactive Manifesto, 2014. To determine which partition is used for storage, the key is mapped into a key space. big data and NoSQL), but it’s only when the principles of being event first are correctly applied to the data platform do the qualities of evolvability become attainable.

Architecture 92

Architecture Programming Microservices Serverless 92

CIO

MARCH 12, 2025

Tigran Khrimian, chief technology engineering officer at the Financial Industry Regulatory Authority (FINRA), says he started developing best practices in 2014. And with 70-plus AWS services, 150,000 compute instances, and an exabyte of data, theres a lot to manage.

Cloud 180

Cloud Weak Development Team Technical Review Data Center 180