Cloudera

JUNE 13, 2023

Data and analytics are the essential engines in this strategy which entails upgrading the bank’s core banking technology to deliver reliable, efficient, and secure services for their customers while safeguarding critical data.

Analytics 77

Analytics Data Banking Big Data 77

Cloudera

APRIL 6, 2022

This blog post was written by Elizabeth Howell, Ph.D At a distance of a million miles from Earth, the James Webb Space Telescope is pushing the edge of data transfer capabilities. sat-1 artificial intelligence chip filters them out so that only usable data is returned,” ESA said in a blog post.

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Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

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Analytics Network Innovation IoT 96

BrainStation Technology

JUNE 4, 2019

In a relatively short period of time, big data has become a big business in professional sports. The market for sports analytics is expected to reach almost $4 billion by 2022, and teams around the world are racing to find a competitive advantage. And big data played a big role. .

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Sport Big Data Data Analytics 74

DevOps.com

NOVEMBER 10, 2022

From Twitter and Netflix to Salesforce and Confluent, modern analytics applications are being built by developers across the world’s leading digital businesses to create digital tools that serve real-time analytics to hundreds or even thousands of concurrent users. In particular, why […].

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Apiumhub

APRIL 6, 2021

There are a lot of excellent blogs on data science, and it can be a little overwhelming to know where to start. This article will list some of the most useful blogs for everyone – from data science experts to complete newbies. Top Data Science Blogs to follow.

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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.

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Newgen Software

FEBRUARY 6, 2024

Organizations need to transition towards a digital business ecosystem that uses data and analytics as a tactical weapon. This requires significant adaption in organizational culture, one that is driven by a data strategy and supported by a robust Business Process Management (BPM) based analytics platform. Why Analytics?

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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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CTOvision

MAY 11, 2015

In the video below and at this link , Datameer's CEO Stefan Groschupf highlights the evolving nature of the Big Data landscape, drawing historical parallels and lessons worth thinking through. For more information and context on data in the enterprise read Stefan Groschupf's blog here. Related articles.

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Big Data Data Hardware Video 99

KitelyTech

JANUARY 17, 2021

The collection and management of big data make it progressively easier for companies to use detailed information about a variety of factors to see what is happening in an industry on a business-wide or industry-wide scale. Using big data effectively gives businesses a major advantage in the market.

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Big Data Trends Data Artificial Intelligence 52

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.

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Analytics Open Source Virtualization Government 103

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. .

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Analytics Open Source Government Machine Learning 111

CTOvision

FEBRUARY 12, 2015

First announced at both Revolution Analytics'' and Microsoft''s blogs, on 23 Jan 2015, the purchase of Revolution Analytics by Microsoft was done in order to help customers "find big data value with advanced statistical analysis.". By May Gourley.

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Analytics Big Data Company Software 109

DevOps.com

APRIL 25, 2019

Data analytics is about to become a whole lot easier. But the search giant’s focus on data has stolen the show. Partners of the tech titan such as Fivetran, DataStax and Hammerspace are bringing unprecedented data capabilities to the Google Cloud Platform […].

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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. Reducing Analytic Time to Value by More Than 90 Percent. Check out our customer stories.

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Big Data Analytics Google Cloud Cloud 67

The Accidental Successful CIO

NOVEMBER 6, 2013

CIOs need to learn how to ride the tsunami of big data Image Credit. CIOs have always had to find ways to deal with data. The arrival of the era of Big Data has almost overnight turned what was already a challenging task into a nearly impossible task. The Seven Steps To Getting Value Out Of Your Big Data.

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Big Data Analytics Data Report 93

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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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.

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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.

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Big Data Data Architecture Analysis 95

Datavail

AUGUST 19, 2021

We’ve done a lot of research on this question, and we’ve compiled that research into a list of the most critical benefits organizations are looking for in terms of business intelligence (BI) systems that provide data analytics. In general, our research indicates that businesses are looking for a business solution, not a data solution.

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Analytics Data Business Intelligence Media 98

DevOps.com

JANUARY 25, 2021

From an organizational perspective, an analytics workload is a way to gain a data-driven business advantage. The post An Analytics Workload is a Critical Data Management Tool appeared first on DevOps.com.

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CTOvision

NOVEMBER 2, 2016

We are pleased to report that CTOvision has been named to BizTech's list of the top 30 "Must-Read" blogs for small to mid-sized businesses, ranking as number 2 of 30. From the announcement : "Small business is big business in the United States. Bob Gourley. This award will motivate us to keep producing.

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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

Cloudera

NOVEMBER 27, 2017

In an earlier VISION post, The Five Markers on Your Big Data Journey , Amy O’Connor shared some common traits of many of the most successful data-driven companies. In this blog, I’d like to explore what I believe is the most important of those traits, building and fostering a culture of data. .

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Big Data Culture Data Telecommunications 41

CTOvision

NOVEMBER 6, 2018

Read Zayan Guedim explain how a new hybrid system combines classical machine learning techniques with quantum computation to optimize the management of the power grid on Edgylabs blog : Strategically deployed across the grid, Phasor Measurement Units (PMUs) are sensor devices that measure currents and voltages at a particular time.

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TIBCO - Connected Intelligence

MAY 20, 2021

Want to learn about the top-trending energy and utilities (E&U) analytics and data management strategies that are helping companies evolve apace the rapid changes that characterize the industry? If so, join us May 25-26 for our virtual event, TIBCO Analytics Forum (TAF) 2021. Reading Time: 2 minutes.

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Analytics Energy Industry Big Data 46

CTOvision

SEPTEMBER 17, 2014

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.

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Big Data Fractional CTO Government CTO 105

Coforge

AUGUST 6, 2020

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Sunflower Lab

APRIL 2, 2024

Imagine a business world where your decisions are not just guided by past data, they are turbo-charged by insights that peer into the future, giving you a strategic advantage that feels almost unfair. That’s where predictive analytics with Power BI swoops in, taking center stage as a game-changer for CEO decision-making.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

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.

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Analytics Open Source Systems Review Nonprofit 182

Datavail

SEPTEMBER 2, 2021

Moving data analytics to the cloud would be much simpler if it were a “lift and shift” process. A lift and shift to the cloud involves moving applications and associated data to the cloud without redesigning the applications. But, there are many players in the data analytics market. Making Data More Usable.

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Analytics Cloud Data Artificial Inteligence 89

The Accidental Successful CIO

JUNE 26, 2013

One of the things that makes having the CIO job different today from how it was in the past, besides the growing awareness of the importance of information technology, is the arrival of so-called “big data” We’re talking about terabytes or even petabytes of data and all of the headaches that come along with it.

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Big Data Data Analytics Innovation 74

Apiumhub

MARCH 18, 2021

More data is available to businesses than ever, which is why business analytics is a growing field. But how and why professionals use data to reach decisions varies depending on the industry. In this article we will discuss business analytics tools and use cases. “The What is Business Analytics?

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Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

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Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Cloudera

JUNE 6, 2024

Recently, Cloudera, alongside OCBC, were named winners in the“ Best Big Data and Analytics Infrastructure Implementation ” category at The Asian Banker’s Financial Technology Innovation Awards 2024. Learn more about how Cloudera helped OCBC unlock business value with trusted data.

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Generative AI Banking Data Analytics 83

Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

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Analytics Trends Data Big Data 52