Smart Data Collective

FEBRUARY 2, 2021

Big Data is more than a trend or a buzzword. In 2020, the size of the global Big Data market reached 56 billion, and it’s on track to exceed 103 billion by 2027. Consumers are generating huge amounts of data at a rapid rate, and it is estimated that up to 90% of all data was generated only in the past two years.

Big Data 85

Big Data Recreation/Entertainment Cost-Benefit Finance 85

Smart Data Collective

SEPTEMBER 26, 2019

The big data market is expected to be worth $189 billion by the end of this year. A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. What is Software Development?

Big Data 80

Big Data Software Unstructured Data Data Integration 80

Smart Data Collective

SEPTEMBER 23, 2020

The market for data warehouses is booming. One study forecasts that the market will be worth $23.8 While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes.

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Data Lake Data Warehouse Unstructured Data Big Data 106

IBM Big Data Hub

MAY 19, 2023

The rapid growth of global web-based ERP solution providers The global cloud ERP market is expected to grow at a CAGR of 15%, from USD 64.7 Small and midsize enterprises (SMEs) are the fastest-growing segment in the market due to reliability, scalability, integration, flexibility and improved productivity. billion in 2022 to USD 130.0

Unstructured Data 77

Unstructured Data Data Processing Manufacturing Data Lake 77

Smart Data Collective

AUGUST 30, 2022

The market for cloud technology is booming. Big data analytics. The amount of data in today’s world is growing exponentially, and cloud computing provides excellent tools that analyze large volumes of information and carry out marketing segmentation.

Technology 133

Technology Enterprise Cost-Benefit Testing 133

Smart Data Collective

FEBRUARY 3, 2021

Big data is changing the nature of the financial industry in countless ways. The market for data analytics in the banking industry alone is expected to be worth $5.4 However, the impact of big data on the stock market is likely to be even greater. billion by 2026.

Big Data 139

Big Data Marketing Data Analytics Analytics 139

IBM Big Data Hub

OCTOBER 30, 2023

The global AI market is projected to grow to USD 190 billion by 2025, increasing at a compound annual growth rate (CAGR) of 36.62% from 2022, according to Markets and Markets. Real-time data analytics helps in quick decision-making, while advanced forecasting algorithms predict product demand across diverse locations.

Insurance 81

Insurance Data Warehouse Data-driven Unstructured Data 81

IBM Big Data Hub

FEBRUARY 14, 2024

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. Many stock market transactions use ML with decades of stock market data to forecast trends and ultimately suggest whether and when to buy or sell.

Cost-Benefit 85

Cost-Benefit Insurance Unstructured Data Machine Learning 85

Smart Data Collective

NOVEMBER 25, 2019

Just as companies are becoming more aware of the value of data, so are hackers — and as a result, the frequency and cost of data breaches are beginning to skyrocket. In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences.

Business Intelligence 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 116

Analytics IoT Data-driven Snapshot 116

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Machine Learning 56

Machine Learning Data Science Statistics Deep Learning 56

Jet Global

NOVEMBER 5, 2020

The company’s market power is based largely on its ability to promote the “stack”—that is, to position the entire suite of Microsoft products as a holistic solution to customer problems. Data lakes are not a mature technology. They are designed for enormous volumes of information, including semi-structured and unstructured data.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Interesting Read: THE DIFFERENT STAGES IN DATA ANALYTICS, AND WHERE DO YOU FIT IT IN AI AND ML ACTIVITIES? EXPERT OPINION].

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

Jet Global

OCTOBER 30, 2020

Microsoft’s next option is called Azure Data Lake Services (ADLS), and it seems to be the company’s favored long-term solution to its D365 F&SCM reporting challenge. Data lake” is a generic term that refers to a fairly new development in the world of big data analytics. What are unstructured data?

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

Jet Global

JUNE 18, 2019

Industries such as retail, healthcare, and manufacturing have experienced a dramatic shift thanks to the impact of big data analytics software—but let’s start by looking at what it is, first. Big Business Needs Big Data. What is Big Data Analytics Software? Manufacturing.

Big Data 75

Big Data Software Data Analytics Analytics 75

datapine

JUNE 5, 2019

Online dashboards provide immediate navigable access to actionable analytics that has the power to boost your bottom line through continual commercial evolution. For a more detailed glance, you can check out 80 or more business dashboard examples suited to an ever wider range of business functions (marketing, sales, finance, management, etc.)

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Dashboards KPI Sales Visualization 316

Jet Global

OCTOBER 3, 2019

Industries such as retail, healthcare, and manufacturing have experienced a dramatic shift thanks to the impact of big data analytics software—but let’s start by looking at what it is, first. Big Business Needs Big Data. What is Big Data Analytics Software? Manufacturing.

Big Data 53

Big Data Software Data Analytics Analytics 53

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? Why is data analytics important for travel organizations?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

DataKitchen

APRIL 13, 2021

Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity. As a result, vendors that market DataOps capabilities have grown in pace with the popularity of the practice.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Sisense

MAY 28, 2019

And with each passing of the torch, new leaders emerge with the power to disrupt the market. 2019 can best be described as an era of modern cloud data analytics. Convergence in an industry like data analytics can take many forms. Cloud Vendor Analytics Acquisition Creating a Cloud-Specific Local Ecosystem?.

Data Analytics 89

Data Analytics Data Lake Analytics Unstructured Data 89

CIO Business Intelligence

JUNE 29, 2022

And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done. For many enterprises, Microsoft Azure has become a central hub for analytics. Azure Data Explorer. Analytics, Microsoft Azure Azure Databricks.

Data Lake 115

Data Lake Analytics Data Warehouse Machine Learning 115

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Interesting Read: THE DIFFERENT STAGES IN DATA ANALYTICS, AND WHERE DO YOU FIT IT IN AI AND ML ACTIVITIES? EXPERT OPINION].

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

BizAcuity

MAY 10, 2022

The cloud market is well on track to reach the expected $495 billion dollar mark by the end of 2022. Cloud washing is storing data on the cloud for use over the internet. The following timeline shows how the young cloud market blew almost as soon as it hit the markets. This gap sealed the domination of AWS in the market.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Sisense

MAY 4, 2020

In his article in Forbes , he discussed how some of the biggest names in global business — Nike, Burger King, and McDonald’s — and progressive newer entrants to huge sectors like insurance, are embracing data and analytics technology as a platform on which to build their competitive advantages. Organizations must adapt or die.

Big Data 78

Big Data Data-driven Snapshot Unstructured Data 78

Smart Data Collective

JULY 31, 2022

Predictive analytics tools can be particularly valuable during periods of economic uncertainty. Traders can have even more difficulty identifying the best investing opportunities as market volatility intensifies. Predictive Analytics Helps Traders Deal with Market Uncertainty. Analytics Vidhya, Neptune.AI

Predictive Analytics 134

Predictive Analytics Analytics Uncertainty Forecasting 134

Cloudera

JULY 29, 2022

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). However, not all these organizations will be successful in using data to drive business value and increase profits. Is yours among the organizations hoping to cash in big with a big data solution?

Data Architecture 84

Data Architecture Data Strategy Risk Management Strategy 84

FineReport

JUNE 24, 2021

Then, once it has turned the raw, unstructured data into a structured data set, it can analyze that data. BI software solutions often support multiple data source connections. Analysts can apply this capability to solutions in many scenarios, such as sales, marketing, inventory, and production management.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

IBM Big Data Hub

JANUARY 17, 2023

Technical Metadata storage/service: This component is required to understand what data is available in the storage layer. The query engine needs the metadata for the unstructured data and tables to understand where the data is located, what it looks like, and how to read it.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

IBM Big Data Hub

NOVEMBER 10, 2023

This has also led to a proliferation of point solutions in the market, pushing the boundaries of innovation. The introduction of Generative AI offers to take this solution pattern a notch further, particularly with its ability to better handle unstructured data.

Cost-Benefit 99

Cost-Benefit Insurance Consulting Unstructured Data 99

CIO Business Intelligence

JUNE 22, 2022

After years of breakthroughs in fundamental and foundational technologies, Huawei has now brought the very first deterministic Internet Protocol (IP) network to market, dramatically minimizing network uncertainties.

Digital Transformation 104

Digital Transformation Internet of Things Manufacturing Unstructured Data 104

Cloudera

AUGUST 20, 2021

Legal and Regulatory Requirements: CDP delivers data products to address complex and continuously evolving legal and regulatory requirements by offering a programmatic way to dynamically manage data permissions at a granular level by type of data asset and for different roles / users interacting with and manipulating those data assets. .

Strategy 94

Strategy Cost-Benefit Visualization Data Warehouse 94

Cloudera

AUGUST 21, 2020

And next to those legacy ERP, HCM, SCM and CRM systems, that mysterious elephant in the room – that “Big Data” platform running in the data center that is driving much of the company’s analytics and BI – looks like a great potential candidate. . Streaming data analytics. .

Cost-Benefit 71

Cost-Benefit Big Data ROI Risk 71

CIO Business Intelligence

MAY 24, 2022

Organisations have to contend with legacy data and increasing volumes of data spread across multiple silos. To meet these demands many IT teams find themselves being systems integrators, having to find ways to access and manipulate large volumes of data for multiple business functions and use cases.

Data-driven 94

Data-driven Data Lake Data Warehouse Cost-Benefit 94

IBM Big Data Hub

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

Data Warehouse 76

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 76

AWS Big Data

JUNE 9, 2023

This data is then projected into analytics services such as data warehouses, search systems, stream processors, query editors, notebooks, and machine learning (ML) models through direct access, real-time, and batch workflows. Ian Meyers is a Director of Product Management for AWS Analytics Services.

Data Lake 117

Data Lake Metadata Optimization Statistics 117

AWS Big Data

FEBRUARY 21, 2023

It is a data modeling methodology designed for large-scale data warehouse platforms. What is a data vault? The data vault approach is a method and architectural framework for providing a business with data analytics services to support business intelligence, data warehousing, analytics, and data science needs.

Data Warehouse 66

Data Warehouse Data Lake Cost-Benefit Modeling 66