KitelyTech

JUNE 16, 2023

Companies increasingly work with big data to improve performance and dominate markets. These processes are so important that companies devote whole departments just to managing the data that they have. To help your company grow, here is what you need to know about the types of big data analytics.

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Invid Group

JANUARY 7, 2024

How to Predict Consumer Behavior with Big Data and AI in 2024 BY: INVID Understanding consumer behavior is essential to competitiveness in today’s fast-paced, data-driven corporate environment. In this article, we’ll dive into the revolutionary potential of big data and artificial intelligence (AI).

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InfoWorld

APRIL 11, 2024

The Apache Software Foundation develops and maintains open source software projects that significantly impact various domains of computing, from web servers and databases to big data and machine learning.

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O'Reilly Media - Data

AUGUST 16, 2018

The deployment of big data tools is being held back by the lack of standards in a number of growth areas. Technologies for streaming, storing, and querying big data have matured to the point where the computer industry can usefully establish standards. The main standard with some applicability to big data is ANSI SQL.

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CTOvision

DECEMBER 8, 2016

Big data is a buzz term in many industries, but many people still do not understand the concept of it. Data analysis tools can benefit any company, and new tools are being invented every year. Big data can benefit small businesses and multinational companies. Gaining Information from Unstructured Data.

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CTOvision

OCTOBER 6, 2015

The first step towards overcoming this challenge is mapping out the journey to fully utilize the value of your company's Big Data. This begins with understanding how the maturity of your organization enables or inhibits your ability to strategically pursue Big Data programs. Mapping Big Data (oreilly.com).

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Invid Group

NOVEMBER 5, 2023

Why Predictive Analysis Tools will be Key for Businesses in 2024 BY: INVID In today’s fast-paced and ever-evolving business landscape, staying ahead of the competition has never been more challenging. As technology advances, so does the amount of data that businesses generate and collect.

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CIO

MARCH 15, 2024

Plumb’s technical expertise and strategic acumen will enhance the CDAO’s innovative efforts, and help accelerate the DOD’s adoption of data, analytics, and AI to generate decision advantage from the boardroom to the battlefield,” Secretary of Defense Lloyd Austin said in a statement. She is scheduled to take over CDAO on April 8.

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CTOvision

AUGUST 26, 2014

Editor’s note: This looks like one of the most relevant data analytics events of the season. Company representatives that want to meet the NASA experts on Big Data should attend. What could their approach and tools do for your Big Data analysis challenges? Discover what big data tools NASA utilizes.

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Cloudera

JULY 15, 2019

Educating Data Analysts at Scale. Cloudera is pleased to announce, in partnership with Coursera, the launch of Modern Big Data Analysis with SQL , a three-course specialization now available on the Coursera platform. This sequence of courses teaches the essential skills for working with data of any size using SQL.

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CTOvision

OCTOBER 9, 2015

From assessing the effectiveness of your current operation and efforts to ensuring that your business has a more complete understanding of the needs of its customers or clients, data aggregation and analysis services have the potential to change the way that merchants and retailers operate in today's increasingly digital marketplace.

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TechCrunch

APRIL 21, 2022

So what we are able to do is store these logs in a columnar fashion, much like how the Big Data Hadoop ecosystem evolved over the last like 15-20 years now, and that allows you to analyze large volumes of data,” he said. . “These days, the logs are extremely structured, meaning they have very defined fields.

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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.

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Strategy Driven

MARCH 23, 2023

If you’ve decided that now is the time for your business to make the transition to Big Data Analytics; great choice. In the simplest terms, it’s a service that allows the user to process huge amounts of data and then use this information for analysis purposes. What is BDA?

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CTOvision

JUNE 10, 2014

Federal agencies have in many ways out on finding w enterprises and their leaders have been on the cutting edge of community efforts at big data, with most all agencies either executing on a comprehensive big data strategy or empowering technologist to explore and prove out possible solutions so a strategy can be developed.

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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.

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OpenCredo

FEBRUARY 16, 2023

Pre-Processing Before ingesting the data, it is important to understand its size and shape. We can push the analysis of which columns are mostly null, and should be dropped from the schema to a further state. Read process/Working with jsonl: JSON is one of the most common human-readable, language-independent data interchange formats.

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CTOvision

OCTOBER 26, 2015

I'm currently researching big data project management in order to better understand what makes big data projects different from other tech related projects. So far I've interviewed more than a dozen government, private sector, and academic professionals, all of them experienced in managing data intensive projects.

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DevOps.com

DECEMBER 10, 2018

Four Vs drive big data solutions: volume, velocity, variety and veracity. The post 5 Ways KPI Analysis Helps DevOps appeared first on DevOps.com. Volume and velocity are technical considerations usually receiving a healthy dose of attention among architects and coders. Key performance indicator, or KPI, […].

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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.

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TechCrunch

AUGUST 19, 2021

Those working with data may have heard a different rendition of the 80-20 rule: A data scientist spends 80% of their time at work cleaning up messy data as opposed to doing actual analysis or generating insights. In other words, an all-around data culture is just as important for an enterprise as the data infrastructure.

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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. Check out our list of top big data and data analytics certifications.)

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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 use a number of methods and techniques to analyze data.

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CTOvision

MARCH 13, 2015

We saw the infographic below titled "Surprising Things You Don''t Know About Big Data" from Adeptia and wanted to share it with you: Analysis' By Michael Johnson.

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Cloudera

APRIL 6, 2022

Back on Earth, it’s not just astronomers and astrophysicists who benefit from streaming data and AI. In healthcare , for example, doctors are starting to leverage ML for real-time analysis of data to improve medical care. The post Space-Based AI Shows the Promise of Big Data appeared first on Cloudera Blog.

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CTOvision

JUNE 4, 2015

This is a push towards assisting organizations with data quality, security and compliance problems that result from the growth of analytics tools by business users. New data-profiling tools, for example, let companies find and transparently fix issues like dirty, inconsistent or invalid data at any stage in a complex analytics pipeline.

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CTOvision

MARCH 21, 2017

Data analysis is about finding patterns and insights from collected raw data. Learning management systems are employing big data and even machine learning algorithms to create immersive virtual speaking environments. Analysis of thousands of speaking engagements has helped to identify what works best.

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CTOvision

SEPTEMBER 21, 2015

Here’s something to think about when you're planning a big data project: are you planning a project or a program ? Relatively self-contained big data projects may be tied to an ongoing process or program that is already developing or delivering a product or service. A program is something ongoing and relatively permanent.

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CTOvision

JUNE 30, 2014

I also mention key requirements which apply at most government organizations for their data and how organizations are addressing their unique requirements with technology provided by Cloudera : Analysis Big Data CTO Cyber Security Government Strategy Video Government Events Public sector'

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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.

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CTOvision

OCTOBER 13, 2015

Datameer, the proven self-service big data insights platform for rapid data discovery, announced at the Strata + Hadoop Conference a go-to-market collaboration with Microsoft. Microsoft will now offer Datameer's big data analytics on Azure HDInsight, in Q4 2015. "We Is Your Database Ready for Big Data?

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CTOvision

AUGUST 18, 2014

Enterprises everywhere have been seeking improved ways to make use of their data. Wherever your organization falls on the spectrum, odds are very likely that you have established requirements for open framework and open repeatable solutions for your big data projects. With that spirit in mind, we produced a paper titled.

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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.

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BrainStation Technology

JUNE 4, 2019

In a relatively short period of time, big data has become a big business in professional sports. Let’s take a closer look at how four sports have been radically changed by big data – and how forward-thinking teams leveraged new tools to reach greater heights of success. And big data played a big role. .

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CTOvision

AUGUST 12, 2014

After 20 years working in NASA, he changed course and became a data scientist in the then new field of ‘Data Mining’ His TEDx talk covers some of the basic ideas behind data mining, and how it influences us every day. Analysis Big Data George Mason University Twitter'

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CTOvision

FEBRUARY 5, 2016

Cognitio ’s Bob Gourley, publisher of CTOvision , has been named one of the “Top 100 Influencers in the Big Data Landscape” by the leading force in influencer identification Onalytica. From their website: The Big Data technology and services market is one of the fastest growing, multi-billion dollar industries in the world.

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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")

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