Smart Data Collective

JULY 25, 2024

Mastering data governance in a multi-cloud environment is key! Delve into best practices for seamless integration, compliance, and data quality management.

Data Governance 321

Data Governance Government Data Quality Big Data 321

Smart Data Collective

SEPTEMBER 26, 2021

Working with massive structured and unstructured data sets can turn out to be complicated. It’s obvious that you’ll want to use big data, but it’s not so obvious how you’re going to work with it. So, let’s have a close look at some of the best strategies to work with large data sets. Metadata makes the task a lot easier.

Documentation 326

Documentation Data Visualization Data Mining Visualization 326

Smart Data Collective

JUNE 19, 2019

Are you frustrated by an increase in the quantity of the data that your organization handles? Many businesses globally are dealing with big data which brings along a mix of benefits and challenges. A report by China’s International Data Corporation showed that global data would rise to 175 Zettabyte by 2025.

Big Data 231

Big Data Logistics Monitoring Data Analytics 231

BizAcuity

MARCH 29, 2019

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. It is not just about data storage but also about data management too.

Healthcare 256

Healthcare Data Quality Big Data Visualization 256

Smart Data Collective

JULY 15, 2021

It helps you locate and discover data that fit your search criteria. With data catalogs, you won’t have to waste time looking for information you think you have. What Does a Data Catalog Do? At times, staff may need to manually reclassify older data associated with changed properties or fields.

Data Discovery 334

Data Discovery Data Quality Documentation Big Data 334

Dataversity

SEPTEMBER 1, 2023

No matter what industry you work in, Data Management is increasingly important for your career and performance. Information is no longer separate bits of data – the internet of things (IoT) and big data mean that every piece of data is interconnected.

Big Data 147

Big Data Data Management Data Governance Data Quality 147

The Data Administration Newsletter

APRIL 5, 2022

Regardless of how accurate a data system is, it yields poor results if the quality of data is bad. As part of their data strategy, a number of companies have begun to deploy machine learning solutions. In a recent study, AI and machine learning were named as the top data priorities for 2021, by 61% […].

Data Quality 98

Data Quality Big Data Data Management Business Intelligence 98

The Data Administration Newsletter

MARCH 20, 2024

In the realm of big data, ensuring the reliability and accuracy of data is crucial for making well-informed decisions and actionable insights. Data cleansing, the process of detecting and correcting errors and inconsistencies in datasets, is critical to maintaining data quality.

Big Data 52

Big Data Data Quality Data Management 52

Astera

APRIL 10, 2023

The world of big data can unravel countless possibilities. From driving targeted marketing campaigns and optimizing production line logistics to helping healthcare professionals predict disease patterns, big data is powering the digital age. What is Big Data Integration? Why Does Big Data Integration Matter?

Big Data 52

Big Data IBM Maintenance IBM cost Data Quality 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 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

The Data Administration Newsletter

JANUARY 17, 2024

The advent of big data has transformed the data management landscape, presenting unprecedented opportunities and formidable challenges: colossal volumes of data, diverse formats, and high velocities of data influx. To ensure the integrity and reliability of information, organizations rely on data validation.

Big Data 52

Big Data Data Management Data Quality Artificial Intelligence 52

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

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

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 Quality Government 52

Smart Data Collective

APRIL 30, 2021

With proper data integrity management in place, you can also take a step back and retrieve your data in its original format. In this way, you can ensure the security and accuracy of all of your business data. Secure your data.

Data Security 306

Data Security Healthcare Government Planning 306

Smart Data Collective

JANUARY 9, 2023

In today’s world, data is more widely available to businesses than ever before. Whether it’s data about customer demographics , product colors that tend to sell better, or which cold email scripts are the most effective, organizations have the power to utilize data to help them inform their decision-making process in a variety of ways.

Artificial Intelligence 363

Artificial Intelligence Innovation Business Intelligence Business Intelligence 363

Astera

DECEMBER 16, 2024

Pricing Model Issues: Several users have also complained that the solution is too expensive for big data syncs, while others consider it unpredictable because the pricing is dependent on the volume of data (i.e., Astera Astera is an all-in-one, no-code platform that simplifies data management with the power of AI.

Data Warehouse 52

Data Warehouse Real-time Data Monitoring Data Quality 52

Dataversity

APRIL 10, 2023

Like an invisible virus, “dirty data” plagues today’s business world. That is to say, inaccurate, incomplete, and inconsistent data is proliferating in today’s “big data”-centric world. Working with dirty data costs companies millions of dollars annually.

Big Data 130

Big Data Data Quality Data Governance Government 130

Actian

JUNE 10, 2019

2019 is becoming an exciting year for the data management community. While trends are important building blocks about how companies approach their data management today, they are also providing insights into future capabilities to incorporate the individual pieces into a holistic, integrated solution.

Data Management 40

Data Management Data Warehouse Big Data Data Governance 40

GAVS Technology

SEPTEMBER 2, 2021

We have been hearing and using the term ‘Big Data’ for a while. Though there could be multiple interpretations of it, one common explanation is, Big Data represents the acquisition, storage, and processing of massive quantities of data beyond what traditional enterprises used to.

Master Data Management 52

Master Data Management Healthcare Big Data Data Mining 52

The BAWorld

MAY 25, 2024

While data has extreme potential to change how we run things in the business world, there are also cons or risks if this data is mishandled. By the time we reached the 2020s, the emphasis or the focus moved to collecting and managing high-quality data for specific requirements or purposes.

Artificial Intelligence 52

Artificial Intelligence Data Governance Government Data Quality 52

Astera

MARCH 15, 2023

Big data has taken the world by storm, and as enterprises worldwide scramble to make sense of it, it continues to hit hard. Enter big data file formats , such as Avro, Feather, Parquet , ORC, etc. Enter big data file formats , such as Avro, Feather, Parquet , ORC, etc. What is Apache Parquet?

Big Data 52

Big Data Data Quality Data Management 52

Data Pine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. Today, big data is about business disruption.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

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. Data Fabric Players.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization.

Chief Data Officer 97

Chief Data Officer Finance Data Modelling Visualization 97

Astera

FEBRUARY 16, 2024

Customer data is strategic, yet most finance organizations use only a fraction of their data. Finance 360 is a comprehensive approach to data management that bypasses these challenges, giving you a complete and accurate picture of your financial performance and health.

Finance 52

Finance Banking Data Quality Artificial Intelligence 52

Astera

SEPTEMBER 25, 2024

The data management and integration world is filled with various software for all types of use cases, team sizes, and budgets. It provides many features for data integration and ETL. Top 10 Airbyte Alternatives in 2024 Astera Astera is an AI-powered no-code data management solution.

Real-time Data 52

Real-time Data Data Warehouse Documentation Monitoring 52

Astera

OCTOBER 10, 2023

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. Another benefit of data mapping in data integration is improved data quality management.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Quality 52

Astera

NOVEMBER 16, 2022

Ideally, you should keep critical data that requires additional security on-premises and move applications with a variable load to the cloud. Understand and assess potential data quality challenges in a hybrid cloud environment. Implement proper data validation rules and policies to ensure data accuracy and completeness.

Data Quality 52

Data Quality Data Architecture Data Warehouse Data Governance 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 Big Data Healthcare Data Governance 52

Astera

MAY 8, 2023

Here are some of the obstacles that organizations face when integrating unstructured data using traditional methods: Increased costs: Traditional data management methods require extensive manual labor to extract insights from unstructured data, resulting in higher business costs.

Vision 40

Vision Data Quality Big Data Healthcare 40

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

Astera

FEBRUARY 26, 2024

Scalability: As businesses grow and generate more data, Azure ETL tools can easily handle the increased volume and complexity of data. Data Quality : Azure ETL tools offer built-in data cleansing and validation capabilities, ensuring that the data loaded into Azure Data Warehouse is accurate and reliable.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Documentation 52

Astera

JANUARY 18, 2024

Talend is a data integration solution that focuses on data quality to deliver reliable data for business intelligence (BI) and analytics. Data Integration : Like other vendors, Talend offers data integration via multiple methods, including ETL , ELT , and CDC. Download a 14-day free trial to get started.

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Warehouse 52

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?

Data Warehouse 52

Data Warehouse Big Data Finance Data Quality 52