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? scalability.

Big Data 98

Big Data Tools Data Storage 98

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 44

Big Data Scalability Data Analytics 44

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

Mobilunity

AUGUST 3, 2021

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. While Big Data has come far, its use is still growing and being explored.

Big Data 52

Big Data Data Engineering Engineering Data 52

CIO

AUGUST 18, 2023

Lilly’s IT team explored the marketplace for a scalable, near-term solution that aligned with the pharmaceutical’s needs. The team took a device-agnostic approach when designing and implementing MagnolAI’s data capabilities, making it a powerful tool regardless of the device being used.

Cloud 236

Cloud Pharmaceuticals Study Off-The-Shelf 236

CIO

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Innovation 183

Innovation Artificial Inteligence Data Serverless 183

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

Kentik

SEPTEMBER 6, 2016

This post focuses on the first of those videos, in which Kentik’s Jim Frey, VP Strategic Alliances, talks about the complexity of today’s networks and how Big Data NetFlow analysis helps operators achieve timely insight into their traffic. Why Big Data NetFlow Analysis? Big Data Architectural Considerations.

Big Data 40

Big Data Analysis Data Architecture 40

John Snow Labs

JUNE 15, 2023

Spark NLP offers a powerful Python library for scalable text analysis tasks, and its NGramGenerator annotator simplifies n-gram generation. Spark NLP’s integration with Apache Spark enables distributed computing, making it a valuable tool for modern data analysis needs. setInputCols(["token"]).setOutputCol("ngrams")

Analysis 52

Analysis Scalability Examples Tools 52

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

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

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. and Big Data Analytics in Predictive Maintenance Industry 4.0 is also enabling the use of big data in predictive maintenance.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

CTOvision

SEPTEMBER 25, 2014

If you are ready to enhance your skills with distributed platforms, scalable workflow tools and big data science please check out the info below from the Workflows for Data Science (WorDS) Center of Excellence , SDSC and National Biomedical Computation Resource (NBCR) : Scalable Bioinformatics Boot Camp.

Scalability 102

Scalability Big Data Case Study Education 102

CTOvision

MARCH 31, 2014

The Pentaho blog has just announced a series of design overviews which can be of use in accelerating data modernization activities in your enterprise. These Blueprints to Big Data Success include design packages around the use cases of: Optimizing the data warehouse. Streamlining the data refinery. By Bob Gourley.

Big Data 95

Big Data Data Architecture Analysis 95

OTS Solutions

OCTOBER 10, 2023

also known as the Fourth Industrial Revolution, refers to the current trend of automation and data exchange in manufacturing technologies. It encompasses technologies such as the Internet of Things (IoT), artificial intelligence (AI), cloud computing , and big data analytics & insights to optimize the entire production process.

Artificial Inteligence 147

Artificial Inteligence Mobile Industry Cloud 147

Apiumhub

AUGUST 20, 2018

The key to efficient, integrous data analysis is a team-based intelligent analytical approach. This interactive approach leads to incremental evolution, and though we are talking about analysing big data, can be applied in any team or to any project. This means sorting through the data with the help of a data analyst.

Big Data 47

Big Data Tools Data Artificial Inteligence 47

CTOvision

MARCH 31, 2016

New to the CTOvision research library , Cray's Solution Brief "Accelerating Cancer Research Using a Big Data Approach." A hypothesis from cancer researchers is that big data could be used to identify new drug treatments from data already available through the analysis of gene-drug relationships.

Big Data 60

Big Data Research CTO Data 60

Altexsoft

NOVEMBER 10, 2022

You can’t imagine modern healthcare without data science. Bioinformatics – a modern area of study that sits between biology, medicine, mathematics, and computer science – is using complex software and big data analysis to understand the disease better than it was ever possible, and is succeeding at that.

Analysis 52

Analysis Data Study Technical Review 52

CTOvision

FEBRUARY 24, 2014

By Bob Gourley Note: we have been tracking Cloudant in our special reporting on Analytical Tools , Big Data Capabilities , and Cloud Computing. Cloudant will extend IBM’s Big Data and Analytics , Cloud Computing and Mobile offerings by further helping clients take advantage of these key growth initiatives.

Big Data 107

Big Data Mobile Cloud Data 107

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

CIO

MARCH 24, 2023

Meant specifically to support self-service analytics, TrustCheck attaches guidelines and rules to data assets. To counter that, BARC recommends starting with a manageable or application-specific prototype project and then expanding across the company based on lessons learned.

Government 356

Government Data Technical Review Policies 356

Altexsoft

MAY 12, 2023

This article delves into the realm of unstructured data, highlighting its importance, and providing practical guidance on extracting valuable insights from this often-overlooked resource. We will discuss the different data types, storage and management options, and various techniques and tools for unstructured data analysis.

Examples 59

Examples Tools Data Artificial Inteligence 59

N2Growth Blog

JANUARY 29, 2024

The efficiency and scalability of such AI-driven methods make them an increasingly popular choice among leading executive search firms. Furthermore, Big Data has proven instrumental in reordering the multi-faceted cogs of executive search.

Artificial Inteligence 86

Artificial Inteligence Artificial Intelligence Recruiting Big Data 86

Altexsoft

FEBRUARY 8, 2021

Machine learning techniques analyze big data from various sources, identify hidden patterns and unobvious relationships between variables, and create complex models that can be retrained to automatically adapt to changing conditions. Define data sources. Cost control. Quality management.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

TechCrunch

FEBRUARY 23, 2022

“On one side, there’s huge volumes of data. For the last 10 years, big data has just become de rigueur, it’s a normal ordinary thing now and only getting bigger. But the other side of that is how do you interpret all that data?”

Engineering 190

Engineering Open Source Big Data Fintech 190

AWS Machine Learning - AI

FEBRUARY 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. He helps customers implement big data and analytics solutions. The function sends that information to CloudWatch metrics.

Artificial Inteligence 106

Artificial Inteligence AWS Lambda Metrics 106

John Snow Labs

JUNE 20, 2023

Common use cases include: Named entity recognition (NER), Text classification and sentiment analysis, Information extraction, Question answering, Chatbots and virtual assistants, Text summarization, Paraphrasing, Speech recognition, Machine translation, Text generation etc. TextBlob is another Python library used for processing textual data.

Artificial Inteligence 52

Artificial Inteligence Healthcare Analysis Open Source 52

CIO

FEBRUARY 6, 2023

Executive leaders of small businesses and startups frequently lament that they lack the same access to data and insights that enterprise competitors and other more entrenched players enjoy. SSBI is all about allowing the end-user to interact with data directly as well as manage it.

Business Intelligence 162

Business Intelligence Small Business Weak Development Team Analytics 162

Perficient

FEBRUARY 16, 2024

In the world of big data processing, efficient and scalable file systems play a crucial role. DBFS is a distributed file system that comes integrated with Databricks, a unified analytics platform designed to simplify big data processing and machine learning tasks. What is DBFS? What is DBFS?

System 52

System Storage Azure Big Data 52

CIO

JUNE 7, 2023

Although open-source data stores like Redis are available, they lack the durability necessary to support AI applications that are intended to form the foundation of a business. Horizontal scalability: As AI applications become more sophisticated, they require the ability to handle ever-increasing volumes of data.

Organization 130

Organization Artificial Inteligence Open Source Architecture 130

Perficient

NOVEMBER 29, 2023

These services are primarily built on the Microsoft Azure platform, providing robust, scalable, and secure solutions. Azure Databricks: This is an Apache Spark-based analytics service that provides a unified platform for big data and AI.

Azure 52

Azure Artificial Inteligence Machine Learning Artificial Intelligence 52

Perficient

JULY 4, 2023

ETL is commonly used in business intelligence and data warehousing projects to consolidate data from various sources and make it available for analysis and reporting. This approach is often used when the destination system has the capability to perform complex transformations and data manipulation. What is ELT?

Big Data 52

Big Data Scalability Analysis Performance 52

Kentik

OCTOBER 25, 2016

How Scalable Architecture Boosts Accuracy in Detection. Big data to the rescue. DDoS is a big data problem — too big for scale-up architecture. By recognizing that DDoS is a big data problem and removing the constraints of scale-up architecture. Monitor against multiple data dimensions.

Scalability 40

Scalability Architecture Big Data Network 40

Mobilunity

APRIL 23, 2024

Investment Platforms: Fintech Java developers build platforms that democratize access to investment opportunities, offering tools for portfolio management and real-time market data analysis. Java/Android developers bring expertise in robust, secure programming, essential for handling sensitive financial data and transactions.

Fintech 52

Fintech Banking Weak Development Team Technical Review 52

Trigent

MARCH 29, 2023

Secure, scalable APIs for quick integrations and deployment InsurTech companies need to contend with the constraints of the legacy systems used by the incumbent insurers, that limit the ability to create plug and play solutions and disrupt the digital experience. Data sources include social media, IoT, and from regular business transactions.

Insurance 95

Insurance Strategy Serverless Big Data 95

Kentik

FEBRUARY 14, 2023

A data platform is an abstraction that offers a single pane of glass for managing your data wherever that data is being generated, processed, or stored. Engineers build data pipelines for specific sources and destinations to structure incoming data for querying and subsequent analysis.

Network 52

Network Data Artificial Inteligence Analysis 52

Hu's Place - HitachiVantara

OCTOBER 9, 2018

These Innovations include: DS7000 Scalable Servers , NVIDIA Tesla GPUs , All NVMe , and 3D XPoint storage memory. DS7000 Scalable Servers Hitachi Advanced Server DS7000 Series of Scalable Servers are built with a unique modular architecture which can be configured and scaled to meet the needs of a wide variety of application workloads.

3D 61

3D Scalability Storage Technology 61