Astera

APRIL 27, 2023

The modern data stack has revolutionized the way organizations approach data management, enabling them to harness the power of data for informed decision-making and strategic planning. These business analytics platforms allow users to make interactive dashboards and visual reports to draw insights from their data.

Data Warehouse 52

Data Warehouse Big Data Cloud Computing Data Analytics 52

BizAcuity

APRIL 14, 2022

Big Data Ecosystem. Big data paved the way for organizations to get better at what they do. Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. Competitive Advantages to using Big Data Analytics. Data Management.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Astera

MAY 9, 2023

Six Stages of the Data Processing Cycle The data processing cycle outlines the steps that one needs to perform on raw data to convert it into valuable and purposeful information. Data Input Data input stage is the stage in which raw data starts to take an informational form. Try it Now!

Data Warehouse 52

Data Warehouse Big Data Innovation Artificial Intelligence 52

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. AI is a powerful tool that goes beyond traditional data analytics. Trends AI is already shaping the processes surrounding data warehousing in many ways.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

OCTOBER 27, 2023

What is a Cloud Data Warehouse? Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. A cloud data warehouse is critical to make quick, data-driven decisions.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

APRIL 7, 2023

However, managing reams of data—coming from disparate sources such as electronic and medical health records (EHRs/MHRs), CRMs, insurance claims, and health-tracking apps—and deriving meaningful insights is an overwhelming task. Improving Data Quality and Consistency Quality is essential in the realm of data management.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Insight Software

JANUARY 20, 2021

In order to achieve that, though, business managers must bring order to the chaotic landscape of multiple data sources and data models. That process, broadly speaking, is called data management. Worse yet, poor data management can lead managers to make decisions based on faulty assumptions.

Data Management 95

Data Management E-Commerce Data Analytics Data Analytics 95

Astera

NOVEMBER 27, 2023

It’s a method used to diagnose the data’s health by thoroughly examining its structure, content, and relationships. It ensures that the data is accurate, consistent, and unique before it’s used for ETL and data analytics. It can also highlight patterns, rules, and trends within the data.

Data Mining 52

Data Mining Data Quality Data Governance Business Intelligence 52

Smart Data Collective

DECEMBER 13, 2022

However, computerization in the digital age creates massive volumes of data, which has resulted in the formation of several industries, all of which rely on data and its ever-increasing relevance. Data analytics and visualization help with many such use cases. It is the time of big data. What Is Data Analytics?

Visualization 331

Visualization Data Analytics Data Analytics Artificial Intelligence 331

Actian

AUGUST 22, 2019

Extract, Transform, and Load (ETL) is the process that has been used to share data between applications, transactional systems, and data warehouses for decades. Transactional data was moved out of source systems and into data warehouses for reporting in order to avoid analytics processes slowing down transactional workflows.

Data Warehouse 40

Data Warehouse Agile Data Management Planning 40

Actian

SEPTEMBER 17, 2019

The result is that these systems are not easily extended either for localized analytics and visualization, sharing data across local systems, or easily and securely exchanging data with modern backend systems for further analytics and visualization. Technology that empowers historical data to shape the future.

Artificial Intelligence 40

Artificial Intelligence Data Warehouse Visualization Vision 40

Data Pine

JANUARY 24, 2021

This genie (who we’ll call Data Dan) embodies the idea of a perfect data analytics platform through his magic powers. Now, with Data Dan, you only get to ask him three questions. The questions to ask when analyzing data will be the framework, the lens, that allows you to focus on specific aspects of your business reality.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Actian

JUNE 17, 2019

The key to converting data into actionable insights is having the right set of tools and a structured method for processing data through a value stream to generate progressive levels of refinement. There are only 2 levels of refinement (aggregation into the warehouse and curation into reports) occurring.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

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 52

Data Mining Documentation Data Quality Data Warehouse 52

Actian

JUNE 4, 2019

Implementing a data warehouse is a big investment for most companies and the decisions you make now will impact both your IT costs and the business value you are able to create for many years. Data Warehouse Cost. Your data warehouse is the centralized repository for your company’s data assets.

Data Warehouse 40

Data Warehouse Digital Transformation Data Quality Data Modelling 40

Astera

MARCH 11, 2024

It eliminates the need for complex infrastructure management, resulting in streamlined operations. According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs. What are Snowflake ETL Tools?

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Astera

JULY 18, 2023

Repeatability and Documentation: You can easily create automated workflows or scripts to capture the steps performed during the data preparation process and then repeat them for consistency and reproducibility in analysis. Astera offers end-to-end data management from extraction to data integration, data warehousing and even API management.

Data Quality 52

Data Quality Visualization Data Visualization Documentation 52

Astera

OCTOBER 19, 2023

It should be able to adjust to new technologies, handle increasing data volumes, and accommodate new business goals. Top 5 Data Preparation Tools for 2023 1. The platform’s easy-to-use visual interface allows you to design and develop end-to-end data pipelines without coding.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Business Analysis Knowledge Share

MARCH 15, 2023

Understanding the key concepts of data warehousing, such as data integration, dimensional modeling, OLAP, and data marts, is vital for business analysts who are responsible for analyzing data and providing insights that drive business performance. What is Data Warehousing?

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Actian

DECEMBER 2, 2019

Checklist: Critical Capabilities to Consider when Selecting a Data Integration Vendor That Enables Real-Time Analytics Use Cases. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. The initial data loading and migration are only the beginning.

Data Warehouse 8

Data Warehouse Digital Transformation Real-time Data Vision 8

Actian

DECEMBER 9, 2019

How Avalanche and DataConnect work together to deliver an end-to-end data management solution. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Actian DataConnect and Actian Avalanche give you that end-to-end data management solution.

Data Warehouse 8

Data Warehouse Digital Transformation Supply Chain Real-time Data 8

Actian

FEBRUARY 19, 2019

Actian has developed technology that is designed to take your operational data, break it into small micro-batches and process them in near-real time. With Actian’s data management, integration and analytics technology, you will finally be able to achieve those lean, six sigma and kaizen goals faster by operating in the moment.

Real-time Data 40

Real-time Data Supply Chain Data Warehouse Monitoring 40

Actian

SEPTEMBER 12, 2019

Actian’s Zen It Edge database provides an embeddable, a nano footprint persistent data store for smart devices that are easily connected Actian’s Cloud and on-premise analytic databases. You can learn more about Actian’s Cloud Data Warehouse here.

Data Requirement 40

Data Requirement Artificial Intelligence Data Warehouse Cloud Computing 40

Data Pine

MARCH 31, 2022

For instance, you will learn valuable communication and problem-solving skills, as well as business and data management. Added to this, if you work as a data analyst you can learn about finances, marketing, IT, human resources, and any other department that you work with. Business Intelligence Job Roles.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. An efficient big data management and storage solution that AWS quickly took advantage of. They now have a disruptive data management solution to offer to its client base.

IBM cost 130

IBM cost IBM Support Cloud Computing Data Warehouse 130

Actian

SEPTEMBER 17, 2019

It is a robust process to collect, aggregate, catalog and maintain all the data your day-to-day operations and interactions in the marketplace create. Legacy approaches to data management. Technology that enables modern data management. Your company data is stored in databases and data warehouses.

Artificial Intelligence 9

Artificial Intelligence Data Warehouse Digital Transformation Data Management 9

Smart Data Collective

OCTOBER 17, 2022

While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. What’s causing the data explosion? Big data analytics from 2022 show a dramatic surge in information consumption.

Big Data 252

Big Data Government Data Governance Data Warehouse 252

Actian

FEBRUARY 24, 2020

Continuous improvement, be it through process analysis and optimization or supported by machine learning and artificial intelligence, requires RPA vendors to aggregate distributed data in a centralized location for analysis and the harvesting of enterprise insights.

Digital Transformation 40

Digital Transformation Artificial Intelligence Data Warehouse Big Data 40

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

SEPTEMBER 4, 2023

Top 7 Data Replication Software Having already discussed the different benefits of data replication software, let us now dive into the other data replication software available today. 1) Astera Astera is an enterprise-level, zero-code data management solution with powerful data replication capabilities.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Warehouse 52

Actian

JULY 11, 2019

In light of this, most of the recent developments have been centered on the use of data warehouses to aggregate diverse data and then applying machine learning and artificial intelligence to reconcile differences. Why operational technology data management may never be standardized. appeared first on Actian.

Data Management 40

Data Management Supply Chain Data Warehouse Artificial Intelligence 40

Actian

AUGUST 22, 2019

Extract, Transform, and Load (ETL) is the process that has been used to share data between applications, transactional systems, and data warehouses for decades. Transactional data was moved out of source systems and into data warehouses for reporting in order to avoid analytics processes slowing down transactional workflows.

Data Warehouse 8

Data Warehouse Agile Data Management Planning 8

Tableau

APRIL 18, 2022

If they connect their siloes and harness the power of data they already gather, they can empower everyone to make data-driven business decisions now and in the future. The way to get there is by implementing an emerging data management design called data fabric. . What is a data fabric design? Orchestration.

Data Quality 98

Data Quality Government Artificial Intelligence Data Warehouse 98

Tableau

APRIL 18, 2022

If they connect their siloes and harness the power of data they already gather, they can empower everyone to make data-driven business decisions now and in the future. The way to get there is by implementing an emerging data management design called data fabric. . What is a data fabric design? Orchestration.

Data Quality 96

Data Quality Government Artificial Intelligence Data Warehouse 96

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.

Innovation 52

Innovation Documentation Data Analytics Data Analytics 52