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

CIO

OCTOBER 13, 2023

Data security architect: The data security architect works closely with security teams and IT teams to design data security architectures. Big data architect: The big data architect designs and implements data architectures supporting the storage, processing, and analysis of large volumes of data.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

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

CIO

MAY 10, 2024

NoSQL NoSQL is a type of distributed database design that enables users to store and query data without relying on traditional structures often found in relational databases. 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

The Crazy Programmer

NOVEMBER 14, 2021

Google also presented its Google Cloud in 2012, but it finally got available to the public in 2013. Because handling cloud-based servers are accessible hence it consumes less time to interpret the big data. Moreover, businesses also do not require to install large hardware servers for data warehousing. Conclusion.

Cloud 203

Cloud Technical Review Systems Review Azure 203

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 84

Storage Data Resources Data Engineering 84

CTOvision

FEBRUARY 4, 2015

The Cloudera Federal Forum, now in its 4th year, has always been filled with lessons learned, best practices and informative glimpses into what is coming from the big data tech community. 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

Perficient

MARCH 27, 2025

Deletion vectors are a storage optimization feature that replaces physical deletion with soft deletion. Instead of physically deleting data, a deletion vector marks records as deleted at the storage layer. This could provide both cost savings and performance improvements.

Compliance 64

Compliance Systems Review Policies Storage 64

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 Inteligence 167

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

TechCrunch

SEPTEMBER 28, 2022

The modern data stack consists of hundreds of tools for app development, data capture and integration, orchestration, analysis and storage. The two say that they saw an opportunity to create a platform that takes all the different big data workload granularities across an organization and presents them in a single pane of glass.

Data 204

Data Banking Machine Learning Artificial Inteligence 204

CIO

JUNE 7, 2022

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. Data analysts and others who work with analytics use a range of tools to aid them in their roles.

Analytics 203

Analytics Data Analysis Business Analytics 203

O'Reilly Media - Data

MAY 3, 2018

In this post, I share slides and notes from a talk I gave in March 2018 at the Strata Data Conference in California, offering suggestions for how companies may want to build analytic products in an age when data privacy has become critical. Architecting and building data platforms is central to what many of us do.

Analytics 181

Analytics Artificial Inteligence Data Machine Learning 181

CTOvision

NOVEMBER 17, 2013

Cloudera’s Doug Cutting delivered a presentation at Hadoop World that outlined key forces driving the data world forward which shed some important insights on where enterprise technology is going. This power and drop in price applies not just to processors but storage. By Bob Gourley. Why do we care?

Open Source 115

Open Source Big Data Linux Hardware 115

Honeycomb

MAY 23, 2022

If we’ve learned one thing from our migration to Graviton2, it’s that improving the performance of big-data, high-performance computing only gives our customers more speed and options for analyzing data at scale. We’re also very heavy users of AWS Lambda for our storage engine.

AWS 88

AWS Lambda Architecture Testing 88

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

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

CTOvision

JANUARY 21, 2014

Please submit your topics in accordance with the below (From: [link] ): Data Science Symposium 2014. It is set apart from related symposia by our emphasis on advancing data science technologies through: Benchmarking of complex data-intensive analytic systems and subcomponents. Major forms of analytics employed in data science.

Technical Review 112

Technical Review Data Hotels Analytics 112

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

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

CTOvision

DECEMBER 8, 2015

They see big data technologies as a potential solution—they know that if they can use big data tools to pool all of their organization’s information and apply data science to it, they can tap new insights and enable better decision-making across the organization.

Big Data 62

Big Data Organization Data Business Intelligence 62

CIO

MAY 16, 2023

Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data. Data Storage: Computer scientists and programmers assert that blockchain offers certain advantages for data storage compared to alternatives.

Innovation 157

Innovation Blockchain Artificial Inteligence Artificial Intelligence 157

Perficient

DECEMBER 11, 2024

Data Analytics/ Big Data : Making hasty work of analyzing return data helps teams understand product issues and improve future offerings. Big data operates through integrating data from various sources to manage the data and analyze it for actionable insights, including visual analyses.

Sustainability 52

Sustainability Retail Big Data Travel 52

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 Artificial Inteligence 52

TechCrunch

MAY 21, 2021

Almost half of all Americans play mobile games, so Alex reviewed Jam City’s investor deck, a transcript of the investor presentation call and a press release to see how it stacks up against Zynga, which “has done great in recent quarters, including posting record revenue and bookings in the first three months of 2021.”

Marketing 244

Marketing Technical Review Software Review Windows 244

AWS Machine Learning - AI

MARCH 18, 2025

These reports can be presented to clinical trial teams, regulatory bodies, and safety monitoring committees, supporting informed decision-making processes. The LLM can provide intelligent responses, insights, and recommendations based on the query and the available data. He helps customers implement big data and analytics solutions.

Artificial Inteligence 104

Artificial Inteligence Technical Review Healthcare Systems Review 104

CIO

JUNE 14, 2023

Big data exploded onto the scene in the mid-2000s and has continued to grow ever since. Today, the data is even bigger, and managing these massive volumes of data presents a new challenge for many organizations. Even if you live and breathe tech every day, it’s difficult to conceptualize how big “big” really is.

Data 97

Data Scalability Storage Big Data 97

Datavail

AUGUST 4, 2022

‘Big Data’ is getting bigger. The second challenge requires sophisticated analysis programming that gleans the meaning of each data bit and attaches that to the meanings gleaned from other relevant data bits. Data emerges every second of every day. Capturing Big Data – Managing the Volume.

Big Data 40

Big Data Data Architecture Storage 40

AWS Machine Learning - AI

OCTOBER 31, 2024

Deploy the solution The application presented in this post is available in the accompanying GitHub repository and provided as an AWS Cloud Development Kit (AWS CDK) project. AWS Lambda costs are based on the number of requests and compute time, and Amazon DynamoDB charges depend on read/write capacity units and storage used.

Generative AI 118

Generative AI Lambda Applications AWS 118

Cloudera

SEPTEMBER 6, 2018

The solution combines Cloudera Enterprise , the scalable distributed platform for big data, machine learning, and analytics, with riskCanvas , the financial crime software suite from Booz Allen Hamilton. It supports a variety of storage engines that can handle raw files, structured data (tables), and unstructured data.

Systems Review 40

Systems Review Software Review Technical Review Artificial Inteligence 40

Gorilla Logic

JUNE 30, 2020

You can use U-SQL to process both structured and unstructured data in big data environments with Microsoft technologies. NET/C#/Python) from gigabyte to petabyte scale, offering the usual big data processing concepts such as “schema on reads,” custom processors, and reducers.

Azure 96

Azure Big Data Software Review Storage 96

Linux Academy

APRIL 30, 2019

Students will get hands-on experience installing and configuring containers and thoughtfully selecting a persistent storage strategy. Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of big data. No prior AWS experience is required.

Linux 113

Linux AWS Big Data Course 113

CTOvision

NOVEMBER 13, 2015

The result are presented below. Capable of detecting intrusions in machine time, machine learning and big data are used to detect anomalies in HW and SW execution based on analysis of AC, DC and EMI signals. Sqrrl Data, Inc. – The Big Data company that enables more powerful cyber security investigations.

Innovation 111

Innovation Network Artificial Inteligence Machine Learning 111

CTOvision

AUGUST 16, 2013

In every other area, from servers to operating systems to applications to storage have changed. He also provided info on how organizations are leveraging the rise in processing power and decrease in memory cost to improve data center performance through virtualized data center resources. Find his presentation here.

Video 89

Video Data Center Big Data Infrastructure 89

CTOvision

DECEMBER 15, 2014

Big data is an evolving term that describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information. Although big data doesn’t refer to any specific quantity, the term is often used when speaking about petabytes and exabytes of data.

Security 120

Security Government Technology Artificial Inteligence 120

Perficient

MARCH 19, 2024

BigQuery maximizes flexibility by separating the compute engine that analyzes your data from your storage choices. You can store and analyze your data within BigQuery or use BigQuery to assess your data where it lives. Looker Studio does not require that data be ingested into an in-memory visual engine before using it.

Data 111

Data Google Cloud Analytics Serverless 111