Smart Data Collective

APRIL 29, 2020

As the world is gradually becoming more dependent on data, the services, tools and infrastructure are all the more important for businesses in every sector. Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. What is data management?

Data Management 211

Data Management Data Warehouse Master Data Management Digital Transformation 211

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Astera

JANUARY 2, 2024

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Data Pine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 105

Big Data Data Analytics Data Analytics IBM Maintenance 105

Astera

DECEMBER 16, 2022

Businesses operating in the tech industry are among the most significant data recipients. The rise of big data has sharply raised the volume of data that needs to be gathered, processed, and analyzed. Let’s explore the 7 data management challenges that tech companies face and how to overcome them.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 16, 2022

Businesses operating in the tech industry are among the most significant data recipients. The rise of big data has sharply raised the volume of data that needs to be gathered, processed, and analyzed. Let’s explore the 7 data management challenges that tech companies face and how to overcome them.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 2, 2022

The rise of big data has sharply raised the volume of data that needs to be gathered, processed, and analyzed. These large data volumes present numerous challenges for companies, especially those with outdated data management systems. Data Management Challenges. Data Management Challenges.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Smart Data Collective

MAY 16, 2022

Big data is changing the future of the healthcare industry. Healthcare providers are projected to spend over $58 billion on big data analytics by 2028. Healthcare organizations benefit from collecting greater amounts of data on their patients and service partners. However, data management is just as important.

Healthcare 262

Healthcare Big Data Data Security User Experience 262

Business Analysis Knowledge Share

MARCH 15, 2023

In recent years, there has been a growing interest in NoSQL databases, which are designed to handle large volumes of unstructured or semi-structured data. These databases are often used in big data applications, where traditional relational databases may not be able to handle the scale and complexity of the data.

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Smart Data Collective

AUGUST 18, 2021

Big data has radically changed the accounting profession. They are also using more advanced data analytics tools to make more meaningful insights into the nature of their clients’ financial matters. The lease accounting profession has been particularly influenced by advances in big data.

Big Data 305

Big Data Artificial Intelligence Portfolio Management Visualization 305

Sisense

MARCH 20, 2019

To do that, a data engineer needs to be skilled in a variety of platforms and languages. In our never-ending quest to make BI better, we took it upon ourselves to list the skills and tools every data engineer needs to tackle the ever-growing pile of Big Data that every company faces today. Python and R. Machine Learning.

Big Data 72

Big Data IBM Maintenance IBM Support Data Warehouse 72

Smart Data Collective

SEPTEMBER 7, 2021

By keeping your company’s data secure, you protect your company’s reputation and reduce the financial burden of dealing with a data breach aftermath. Properly safeguard physical documents. Follow data security best practices when sending mail. If so, take measures to protect your data from prying eyes.

Data Security 310

Data Security Documentation Digital Big Data 310

Astera

DECEMBER 16, 2022

We met with a number of industry leaders and demonstrated our unified, end-to-end data management platform, Astera Data Stack. Big Data LDN 2022 | Olympia, London. Our team attended Big Data LDN 2022 , the UK’s largest enterprise data and analytics conference. Final Word. Stay tuned!

Data Warehouse 59

Data Warehouse Big Data Data Management Documentation 59

Astera

FEBRUARY 22, 2024

AI’s integration into data analytics and processing is a natural progression for an industry marked by rapid innovation and growth. The big data analytics market is moving toward an expected valuation of $655 billion in the next five years, and unstructured data processing tools will be responsible for a major chunk of this revenue.

Innovation 52

Innovation Documentation Data Management Data Analytics 52

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, It supersedes Data Vault 1.0, Data Vault 2.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Astera

AUGUST 22, 2023

Uncover hidden insights and possibilities with Generative AI capabilities and the new, cutting-edge data analytics and preparation add-ons We’re excited to announce the release of Astera 10.3—the the latest version of our enterprise-grade data management platform. Specify the data layout and the fields you want to extract.

Innovation 52

Innovation Documentation Data Analytics Data Analytics 52

Smart Data Collective

MAY 31, 2022

These include (but are not necessarily limited to): Images Audio files Videos Text PDF documents. As many CRM (customer relationship management) systems now rely upon artificial intelligence, accurate data and image labeling make it much easier to identify important documents and files.

Artificial Intelligence 270

Artificial Intelligence Documentation Innovation Big Data 270

Astera

JUNE 1, 2023

While SQL databases have been dominant for decades, the rise of big data and need for greater flexibility have led to the growing popularity of NoSQL databases. NoSQL databases come in a variety of types based on their data model. Document databases: Data is stored in document format, such as JSON.

Documentation 52

Documentation E-Commerce Big Data Master Data Management 52

Astera

JUNE 1, 2023

While SQL databases have been dominant for decades, the rise of big data and need for greater flexibility have led to the growing popularity of NoSQL databases. NoSQL databases come in a variety of types based on their data model. Document databases: Data is stored in document format, such as JSON.

Documentation 52

Documentation E-Commerce Big Data Master Data Management 52

Astera

MAY 9, 2023

Data processing involves transforming raw data into valuable information for businesses. Generally, data scientists process data, which includes collecting, organizing, cleaning, verifying, analyzing, and converting it into readable formats such as graphs or documents. Try it Now!

Data Warehouse 52

Data Warehouse Big Data Innovation Artificial Intelligence 52

Astera

MAY 6, 2024

– May not cover all data mining needs. Streamlining industry-specific data processing. Big Data Tools (e.g., Can handle large volumes of data. Offers a graphical user interface for easy data mining. Multiple data mining algorithms and techniques are available.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Smart Data Collective

JANUARY 21, 2021

Moreover, harmful software introduced by “ black hats ” can destroy the hardware of all the machines belonging to a company, and that is why almost half of the cases of data loss occur due to hardware failures. Those who wish to protect their data fully use several backup solutions at once.

Documentation 314

Documentation Banking Planning Innovation 314

Astera

OCTOBER 7, 2022

But unstructured data is no longer dark data, unavailable for analysis. Advancements in artificial intelligence (AI) technology now make it possible for organizations to open previously-closed doors to big data that offer a trove of untapped insights. Enabling Unstructured Data Analytics. Conclusion.

Data Analytics 52

Data Analytics Data Analytics Documentation Customer Experience 52

Astera

FEBRUARY 26, 2024

Top 5 ETL Tools for Azure Data Warehouse Astera Astera is a well-established ETL/ELT solution with native connectivity to these Azure databases : MySQL PostgreSQL SQL Server MariaDB It also integrates with Azure Data Lake Gen 2. Pros: Incremental data synchronization for minimizing data transfer costs. Integrate.io

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Documentation 52

Smart Data Collective

SEPTEMBER 30, 2021

In both cases, keeping the systems updated and backing up sensitive data can help you mitigate the risks. . The documents should include a zero-trust protocol for vigilant data protection, virtual desktop infrastructure (VDI) for remote workforces, multi-factor authentication (MFA), and siloed access to data.

Data Security 321

Data Security Cybersecurity Documentation Planning 321

Astera

JANUARY 17, 2024

This method is particularly beneficial when handling large volumes of data, as it leverages the processing power of the target system, allowing for efficient and flexible transformations. 5. CDC: Change data capture (CDC) is a technique designed to identify and capture changes made to data over time.

Real-time Data 52

Real-time Data Data Warehouse Data Management Data Security 52

Astera

DECEMBER 21, 2022

A voluminous increase in unstructured data has made data management and data extraction challenging. The data needs to be converted into machine-readable formats for analysis. However, the growing importance of data-driven decisions has changed how managers make strategic choices. Data Mining.

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. The field of big data is going to have massive implications for healthcare in the future. Big Data is Driving Massive Changes in Healthcare. Big data analytics: solutions to the industry challenges. Big data capturing.

Healthcare 196

Healthcare Big Data Data Analytics Data Analytics 196

Smart Data Collective

NOVEMBER 30, 2020

For example, Californian law states that your privacy policy must be displayed as a stand-alone document. Moreover, New York is one of the few places where you can get heavily fined for violating the law, so it’s important to disclose any contracts, operating agreements, and other documents for the sake of transparency.

Data Governance 220

Data Governance Government Documentation Customer Experience 220

Cprime

MAY 4, 2023

Data integration merges the data from disparate systems, enabling a full view of all the information flowing through an organization and revealing a wealth of valuable business insights. What is Data Integration? Developers may use SQL to code a data integration system by hand.

Data Warehouse 52

Data Warehouse Big Data Finance Data Quality 52

GAVS Technology

JUNE 2, 2021

In the recently announced Technology Trends in Data Management, Gartner has introduced the concept of “Data Fabric”. Here is the link to the document, Top Trends in Data and Analytics for 2021: Data Fabric Is the Foundation (gartner.com). What is Data Fabric? Data Virtualization.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

Smart Data Collective

DECEMBER 22, 2021

There is no question that big data is changing the nature of business in spectacular ways. A growing number of companies are discovering new data analytics applications, which can help them streamline many aspects of their operations. However, there are a lot of third-party big data applications worth investing in.

Big Data 226

Big Data Supply Chain Documentation Project Management 226

Sisense

APRIL 14, 2019

And in an age of Big Data , your clients don’t just want the solutions you’re providing. They want the data transparency necessary to calibrate those solutions, test their effectiveness, and scale. YourDMS was founded in 2007 as a document management and solutions consultancy. More Data, More Problems.

Documentation 72

Documentation Procurement Logistics Business Intelligence 72

Astera

DECEMBER 5, 2022

Moreover, insurance firms are also leveraging big data to develop systems to deal with novel problems associated with risk assessment. For example, one challenge that insurance firms face is to extract relevant data from very lengthy reports and then to integrate this data so that underwriters can make appropriate pricing decisions.

Digital Transformation 52

Digital Transformation Big Data Digital Banking 52

Smart Data Collective

JULY 15, 2021

Advanced data catalogs can update metadata based on the data’s origins. Catalog administrators can use templates to manipulate data fields, properties, and other metadata characteristics. This may be necessary if there’s a need to create documentation or if the nature and use of data evolve.

Data Discovery 318

Data Discovery Data Quality Documentation Big Data 318

Astera

OCTOBER 10, 2023

Managing data effectively is a multi-layered activity—you must carefully locate it, consolidate it, and clean it to make it usable. One of the first steps in the data management cycle is data mapping. Data mapping is the process of defining how data elements in one system or format correspond to those in another.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Quality 52

GAVS Technology

MAY 7, 2021

The platform supports capturing digitizer input as ink data, generating ink data, managing ink data, rendering ink data as ink strokes on the output device, and converting ink to text through handwriting recognition. Emotion APIs. About the Author – Srini is the Technology Advisor for GAVS.

Healthcare 52

Healthcare Documentation Digital Artificial Intelligence 52