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.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

JANUARY 12, 2024

A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Enterprises should evaluate their requirements to select the right data warehouse framework and gain a competitive advantage.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Astera

DECEMBER 7, 2023

ETL refers to a process used in data integration and warehousing. It gathers data from various sources, transforms it into a consistent format, and then loads it into a target database, data warehouse , or data lake. Extract: Gather data from various sources like databases, files, or web services.

Supply Chain 52

Supply Chain E-Commerce Data Warehouse Real-time Data 52

Inflexion Analytics

JUNE 17, 2024

The notion of a digital enterprise has evolved significantly, evolving from merely leveraging digital technology to encompass automated data collection, analytics, and data-driven decision-making. It’s no surprise that Google, renowned for its algorithms analyzing millions of websites daily, leads in enterprise data management.

Digital 52

Digital E-Commerce Real-time Data Data Warehouse 52

Astera

DECEMBER 7, 2023

ETL refers to a process used in data warehousing and integration. It gathers data from various sources, transforms it into a consistent format, and then loads it into a target database, data warehouse, or data lake. Extract: Gather data from various sources like databases, files, or web services.

Supply Chain 52

Supply Chain E-Commerce Real-time Data Data Warehouse 52

Astera

JANUARY 24, 2024

What is Change Data Capture? Change Data Capture (CDC) is a technique used in data management to identify and track changes made to data in a database, and applying those changes to the target system. Below is the step-by-step explanation on how change data capture typically works.

E-Commerce 52

E-Commerce Data Warehouse Real-time Data Monitoring 52

Astera

SEPTEMBER 28, 2023

Reverse ETL is a relatively new concept in the field of data engineering and analytics. It’s a data integration process that involves moving data from a data warehouse, data lake, or other analytical storage systems back into operational systems, applications, or databases that are used for day-to-day business operations.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

JUNE 13, 2023

Stream processing platforms handle the continuous flow of data, enabling real-time insights. Data Storage Once processed, data needs to be stored in appropriate repositories for further usage, such as data warehouses, data marts, operational databases, or cloud-based storage solutions. Find out How

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 52

Astera

JUNE 3, 2024

So, whether you’re checking the weather on your phone, making an online purchase, or even reading this blog, you’re accessing data stored in a database, highlighting their importance in modern data management. So, let’s dive into what databases are, their types, and see how they improve business performance.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

SEPTEMBER 20, 2023

What is Data Integration? Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

What is Data Integration? Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2024

Cloud databases come in various forms, including relational databases, NoSQL databases, and data warehouses. Need for Cloud Databases Scalability Needs: Businesses require the ability to handle rapid growth in data volume and user load. They are based on a table-based schema, which organizes data into rows and columns.

Data Warehouse 40

Data Warehouse Cloud Computing E-Commerce Documentation 40

Astera

FEBRUARY 7, 2024

PostgreSQL is an open-source relational database management system (RDBMS). Its versatility allows for its usage both as a database and as a data warehouse when needed. Data Warehousing : A database works well for transactional data operations but not for analysis, and the opposite is true for a data warehouse.

E-Commerce 52

E-Commerce Data Warehouse Monitoring Data Management 52

Astera

MAY 13, 2024

It prepares data for analysis, making it easier to obtain insights into patterns and insights that aren’t observable in isolated data points. Once aggregated, data is generally stored in a data warehouse. Data Quality Assurance Data quality is central to every data management process.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

MAY 30, 2024

Machine Learning Machine learning is an advanced analytics technique that uses algorithms to analyze data, learn from it, and then determine or predict something in the world. Unlike static, rule-based analytics, machine learning can update predictions as new data becomes available.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Insight Software

FEBRUARY 23, 2024

A Centralized Hub for Data Data silos are the number one inhibitor to commerce success regardless of your business model. Through effective workflow, data quality, and governance tools, a PIM ensures that disparate content is transformed into a company-wide strategic asset. Here we explore these benefits in more detail.

E-Commerce 52

E-Commerce IBM Maintenance IBM Support IBM Expert 52

Insight Software

NOVEMBER 16, 2022

Now add different CRM systems, e-commerce, digital marketing automation, operational systems, and even homegrown databases designed for use cases unique to one of the merged entities. The array of data sets can get very complicated, making it difficult to generate meaningful reports and analytics. Illustrating the Challenge.

IBM Support 52

IBM Support E-Commerce IBM Expert IBM Maintenance 52

Insight Software

JULY 28, 2023

Automation and Digital Transformation in Food & Beverage Financial Planning Download Now Evolving Sales Channels Most retail businesses today have both e-commerce and in-person sales strategies. And retail isn’t the only industry impacted by the evolution of sales channels.

Retail 52

Retail IBM Support Planning Supply Chain 52

Insight Software

MAY 1, 2023

Amazon Amazon is the leading e-commerce site. Amazon also provides data and analytics – in the form of product ratings, reviews, and suggestions – to ensure customers are choosing the right products at the point of transaction. Traditional BI Platforms Traditional BI platforms are centrally managed, enterprise-class platforms.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

SEPTEMBER 1, 2023

For example, in an e-commerce application, predictive analytics can help anticipate spikes in traffic during specific events or seasons, allowing the team to scale server capacity accordingly. This prevents over-provisioning and under-provisioning of resources, resulting in cost savings and improved application performance.

Predictive Analytics 52

Predictive Analytics IBM Support IBM Maintenance Embedded Analytics 52

Data Pine

AUGUST 29, 2022

With this technology as its premise, the book goes through the basics of big data systems and how to implement them successfully using the lambda approach, especially when it comes to web-scale applications such as social networks or e-commerce. Maheshwari Lean Analytics: Use Data to Build a Better Startup Faster , by A.

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

Astera

DECEMBER 6, 2024

NLP can parse unstructured text data to detect and standardize inconsistencies, such as variations in names, dates, or addresses, ensuring data quality in data management workflows. SQL), enabling non-technical users to interact with databases or data warehouses effectively.

Documentation 52

Documentation E-Commerce Artificial Intelligence Data Warehouse 52

Insight Software

NOVEMBER 12, 2024

Manufacturers must now rethink their data management strategies and boost collaboration across supply chains to stay competitive and meet these evolving consumer expectations. As the principles of the circular economy gain traction, the demand for detailed product information skyrockets.

IBM Maintenance 52

IBM Maintenance Digital Agile Supply Chain 52