Flipboard

JUNE 5, 2023

True data quality simplification requires transformation of both code and data, because the two are inextricably linked. Code sprawl and data siloing both imply bad habits that should be the exception, rather than the norm.

Data Quality 121

Data Quality Data Silos Big Data Big Data 121

Women in Big Data

FEBRUARY 1, 2023

Colleen Arend , Principal Online Marketing Manager for One Data and volunteer for Women in Big Data Munich. Meet Laura Traverso , a Principal AI Solution Architect at One Data. With a background in mathematics and a passion for data and technology, she has built a successful career in the field of big data.

Big Data 52

Big Data Big Data Data Silos Data Quality 52

ODSC - Open Data Science

APRIL 28, 2023

But before AI/ML can contribute to enterprise-level transformation, organizations must first address the problems with the integrity of the data driving AI/ML outcomes. The truth is, companies need trusted data, not just big data. That’s why any discussion about AI/ML is also a discussion about data integrity.

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ML ML Data Silos Data Quality 98

Flipboard

NOVEMBER 22, 2024

He is passionate about building secure, scalable, reliable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes. He has over 3 decades of experience architecting and building distributed, hybrid, and cloud applications.

Data Governance 132

Data Governance ML ML Data Lakes 132

Smart Data Collective

JUNE 3, 2019

In a previous article I shared some of the challenges, benefits and trends of Big Data in the telecommunications industry. Big Data’s promise of value in the financial services industry is particularly differentiating. Customer-focused analysis dominates Big Data initiatives. Debt and Income Ratio.

Big Data 84

Big Data Big Data Data Silos AI 84

Smart Data Collective

SEPTEMBER 27, 2022

Now is the time for companies deploying limited tools to consider switching to cloud-based data storage and powerful product planning tools. Data silos have become one of the biggest restraints with using linear manufacturing processes. Does the platform eliminate your data silos into one accessible source of truth?

Data Silos 134

Data Silos Internet of Things Data Visualization Analytics 134

Dataconomy

JUNE 1, 2023

Unified data storage : Fabric’s centralized data lake, Microsoft OneLake, eliminates data silos and provides a unified storage system, simplifying data access and retrieval. This open format allows for seamless storage and retrieval of data across different databases.

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Power BI Data Lakes Azure Data Silos 194

Women in Big Data

MARCH 5, 2025

I had the pleasure of interviewing Anu Jekal , the CEO of Data Surge , a leading company in data and AI/ML. At Women in Big Data (WiBD), Anu has been a mentor and volunteer for almost 2 years. In simple terms, we help businesses modernize, democratize and transform their data. Q: Tell me more about Data Surge?

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ML ML Big Data Big Data 52

AWS Machine Learning Blog

MARCH 15, 2024

For more information, refer to Releasing FedLLM: Build Your Own Large Language Models on Proprietary Data using the FedML Platform. FedML Octopus System hierarchy and heterogeneity is a key challenge in real-life FL use cases, where different data silos may have different infrastructure with CPU and GPUs.

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IBM Journey to AI blog

JUNE 15, 2023

There’s no debate that the volume and variety of data is exploding and that the associated costs are rising rapidly. The proliferation of data silos also inhibits the unification and enrichment of data which is essential to unlocking the new insights.

Data Warehouse 110

Data Warehouse Data Lakes Analytics Cloud Data 110

Alation

MARCH 21, 2023

While this industry has used data and analytics for a long time, many large travel organizations still struggle with data silos , which prevent them from gaining the most value from their data. What is big data in the travel and tourism industry? What is big data in the travel and tourism industry?

Analytics 52

Analytics Analytics Data Silos Big Data 52

Dataversity

DECEMBER 14, 2020

It was only a few years ago that BI and data experts excitedly claimed that petabytes of unstructured data could be brought under control with data pipelines and orderly, efficient data warehouses. But as big data continued to grow and the amount of stored information increased every […].

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DataOps Data Pipeline Data Warehouse Big Data 59

Dataconomy

MAY 10, 2022

Data democratization is the practice of making digital data available to the average non-technical user of information systems without requiring IT’s assistance. End of a reign A few data analysts with the knowledge and skills to properly arrange, crunch, and interpret data for their company had wielded enormous power over.

Data Analyst 215

Data Analyst Data Silos Data Governance Big Data 215

Smart Data Collective

MARCH 21, 2022

It gained acceptance more than a decade ago when the industry was waking up to the potential urgency of big data that we are witnessing today. The Hadoop library enabled distributed processing across all points of data storage. Equally effective is the virtualization of data that integrates data silos using a logical layer.

Data Lakes 75

Data Lakes Hadoop Data Silos Data Warehouse 75

Precisely

SEPTEMBER 8, 2023

Read the eBook Data Governance: How to Get Started Read our eBook and learn about the fundamentals of what data governance principles entail, what it intends to accomplish and how it can serve an increasingly important function in an era of big data. Automation Supports Clear Data Lineage Data silos are costly.

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Data Governance Data Quality Data Silos Big Data 52

Precisely

JUNE 27, 2024

In practice, ETL integration automation means minimizing the role of human operators and relying on tools alone to clean up data, move it through the ETL pipeline and verify the results. The only way to answer those questions is to establish, collect and analyze metrics that provide visibility into ETL processes.

ETL 52

ETL Data Silos Data Quality Database 52

Dataversity

AUGUST 26, 2022

Businesses that realize the value of their data and make the effort to utilize it to its greatest potential are quickly outcompeting those that do not. But like any complex system, the architectures that utilize big data must be carefully managed and supported to produce optimal outcomes.

Big Data 52

Big Data Big Data Data Silos Data Governance 52

ODSC - Open Data Science

SEPTEMBER 29, 2023

But, the amount of data companies must manage is growing at a staggering rate. Research analyst firm Statista forecasts global data creation will hit 180 zettabytes by 2025. One way to address this is to implement a data lake: a large and complex database of diverse datasets all stored in their original format.

Data Lakes 52

Data Lakes Clustering Big Data Big Data 52

Alation

OCTOBER 5, 2021

Perhaps even more alarming: fewer than 33% expect to exceed their returns on investment for data analytics within the next two years. Gartner further estimates that 60 to 85% of organizations fail in their big data analytics strategies annually (1). Roadblock #3: Silos Breed Misunderstanding.

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Data Governance Data Quality Data Silos Analytics 96

Alation

JUNE 3, 2021

Despite our growth, data — and the challenges with managing it — have grown even faster. First, there’s been huge growth in the volume of data and the difficulty of processing it. megabytes of data… each second. 95% of businesses say managing unstructured data is a problem, and 97.2% Why is there so much bad data?

Big Data 52

Big Data Big Data Data Silos AI 52

IBM Journey to AI blog

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Lakes Data Warehouse Big Data 52

phData

AUGUST 11, 2023

Assistance Publique-Hôpitaux de Paris (AP-HP) uses these data analytics models to predict how many patients will visit them each month as outpatients and for emergency reasons. Data engineering in research helped to study vaccines better. Norway is also making use of big data analytics to keep track of national health trends.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Precisely

JUNE 12, 2023

Lack of agility : To take advantage of the newest advances in technology, insurers must have the capacity to use their data efficiently and effectively. Data silos create significant barriers to cloud transformation. CDC eliminates silos and opens the door to data-driven innovation.

Data Silos 52

Data Silos Augmented Analytics Database ML 52

ODSC - Open Data Science

JULY 13, 2023

For example, retailers could analyze and reveal trends much faster with a big data platform. A retailer must connect data silos across the entire organization for proper consolidation. Integrating software that can automatically categorize or process could solve the issue of being overwhelmed by information.

Data Science 52

Data Science Machine Learning Machine Learning Data Silos 52

ODSC - Open Data Science

JUNE 7, 2023

Oracle What Oracle offers is a big data service that is a fully managed, automated cloud service that provides enterprise organizations with a cost-effective Hadoop environment. Snowflake Snowflake is a cross-cloud platform that looks to break down data silos.

Data Lakes 52

Data Lakes Azure Data Warehouse Hadoop 52

AWS Machine Learning Blog

OCTOBER 29, 2024

Solution overview Customers often struggle with monitoring their ML workloads across multiple AWS accounts, because each account manages its own metrics, resulting in data silos and limited visibility. He has over 3 decades of experience architecting and building distributed, hybrid, and cloud applications.

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ML ML AWS Machine Learning 108

Alation

JULY 6, 2021

Deeper knowledge of how data is used powers deeper understanding of the data itself. Siloed Data. Silos exist in every enterprise, and they never fail to cause data governance challenges. Silos arise for a range of reasons. Why Do Data Silos Happen? The fast pace of data collection.

Data Governance 52

Data Governance Data Quality Data Silos Data Profiling 52

Pickl AI

APRIL 14, 2023

In addition, it also defines the framework wherein it is decided what action needs to be taken on certain data. And so, a company dealing in Big Data Analysis needs to follow stringent Data Governance policies. Hence the significance of a well-defined governance strategy becomes fundamental for any organization.

Data Governance 52

Data Governance Data Quality Analytics Analytics 52

Pickl AI

OCTOBER 6, 2024

Since data is loaded before transformation, organizations can quickly access and analyze raw data without waiting for extensive preprocessing. This speed makes ELT more suitable for big data applications where rapid data retrieval and real-time analysis are critical.

ETL 52

ETL Data Warehouse Data Quality Data Lakes 52

Pickl AI

JUNE 13, 2024

This can create data silos and hinder the flow of information within a healthcare organization. Big Data Analytics The ever-growing volume of healthcare data presents valuable insights. Additionally, training healthcare providers on how to use the system effectively adds to the overall cost.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

IBM Journey to AI blog

SEPTEMBER 5, 2024

Value realization Good data governance aims to maximize the value of data as a strategic asset, enhancing decision-making, big data analytics , machine learning and artificial intelligence projects. Data quality tools Data quality tools assess, improve and maintain data quality within an organization.

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Data Governance Data Quality DataOps Artificial Intelligence 75

Dataversity

APRIL 1, 2021

In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […].

Analytics 69

Analytics Analytics Data Silos Data Lakes 69

Pickl AI

JULY 16, 2024

Understanding AIOps Think of AIOps as a multi-layered application of Big Data Analytics , AI, and ML specifically tailored for IT operations. Its primary goal is to automate routine tasks, identify patterns in IT data, and proactively address potential issues.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

NOVEMBER 15, 2023

This centralization streamlines data access, facilitating more efficient analysis and reducing the challenges associated with siloed information. With all data in one place, businesses can break down data silos and gain holistic insights.

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

Flipboard

MARCH 21, 2025

Through this unified query capability, you can create comprehensive insights into customer transaction patterns and purchase behavior for active products without the traditional barriers of data silos or the need to copy data between systems.

SQL 141

SQL Data Analyst Data Warehouse AWS 141

Flipboard

DECEMBER 4, 2024

Currently, organizations often create custom solutions to connect these systems, but they want a more unified approach that them to choose the best tools while providing a streamlined experience for their data teams. You can use Amazon SageMaker Lakehouse to achieve unified access to data in both data warehouses and data lakes.

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Data Lakes Data Warehouse AWS Database 139