Smart Data Collective

OCTOBER 28, 2019

Widely referred to as the “ fabric of the future ”, analytics is all about improving efficiency and ultimately creating better ways to do things in professional settings. At the end of the day, analytics creates a healthy combination of historical and (close to) real time data that merges to forge easy analysation.

Artificial Intelligence 198

Artificial Intelligence Real-time Data Big Data Planning 198

BI Insight

FEBRUARY 9, 2022

Incremental refresh, or in short, IR, refers to loading the data incrementally, which has been around in the world of ETL for data warehousing for a long time. Let us discuss incremental refresh (or incremental data loading) in a simple language to better understand how it works.

Real-time Data 144

Real-time Data Data Modelling 144

Domo

JANUARY 13, 2025

Artificial Intelligence Artificial intelligence (AI) is a broad term that refers to the technology enabling computers and other machines to perform tasks typically requiring human intelligence. These tasks can include spotting patterns in data, making predictions, or even responding to your questions in real time.

Artificial Intelligence 52

Artificial Intelligence Real-time Data 52

Data Pine

JULY 11, 2019

For reference, here are the 4 primary types of dashboards for each main branch business-based activity: Strategic: A dashboard focused on monitoring long-term company strategies by analyzing and benchmarking a wide range of critical trend-based information. Don’t go over the top with real-time data.

Visualization 127

Visualization Data Visualization Retail Real-time Data 127

Whizlabs

APRIL 7, 2021

Data producers could come from almost any source of data such as social network data, mobile app data, system or weblog data, telemetry from connected IoT devices, financial trading information, and geospatial data. Understanding the Architecture – AWS Kinesis Data Streams vs. Data Firehose.

Real-time Data 88

Real-time Data Data Analytics Data Analytics 88

Whizlabs

APRIL 10, 2021

If you are looking for data processing at a faster pace, then you should definitely be aware of this concept. Amazon Web Services Kinesis is a cloud-based service that is ideally scalable and managed for a large amount of real-time data processing every second. Impeccable Features of AWS Kinesis.

Real-time Data 72

Real-time Data Big Data Digital Data Analytics 72

Ntara

APRIL 21, 2021

When Amazon says a product is in stock and the customer will get it in two days, they are utilizing real time data to inform a customer with up-to-the-minute accuracy in information. This includes the current order load, inbound receivables, pick and pack speeds, shipment cutoff times, and capabilities of shipping providers.

Documentation 105

Documentation Digital Transformation Digital Real-time Data 105

Whizlabs

APRIL 4, 2021

The first thing that comes to mind when speaking about AWS Kinesis basics refers to its definition. It is the data analytics service offered by Amazon Web Services and is available as a fully managed and highly scalable platform for data streaming applications on AWS. Kinesis Data Streams. Kinesis Data Analytics.

Real-time Data 64

Real-time Data Data Analytics Data Analytics Monitoring 64

Domo

FEBRUARY 1, 2013

Snapshotting Data Historical data is critical to an accurate forecast. If you take a snapshot, so to speak, of a KPI on a given day and archive it, then you have that dataset always available to refer back to. Real-Time Data Streams At Domo we’re all about real-time data streams.

Real-time Data 52

Real-time Data Business Intelligence Business Intelligence 52

Sisense

MAY 26, 2020

Preprocessing of data means removal of unwanted URLs, HTML tags, stop words, numeric and alphanumeric words, punctuation, and special characters. For more details, refer to this article. Data standardization and lemmatization. The word “delicious” is not in the training data, but “tasty” is. Real-time data.

Big Data 98

Big Data Real-time Data Documentation 98

Sisense

MARCH 11, 2019

A good business intelligence platform will help you handle this data and set the formulas that calculate this analysis at the drop of a hat. With better BI, you can run those calculations on your own, with near-to-real-time data, producing reports fast. But what you need is great BI. What is Ad-Hoc Reporting.

Real-time Data 75

Real-time Data Visualization Business Intelligence Business Intelligence 75

Astera

JUNE 5, 2024

Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream.

Real-time Data 52

Real-time Data Data Warehouse Healthcare Monitoring 52

The BAWorld

NOVEMBER 8, 2024

By exploring the types of business analytics —descriptive, diagnostic, predictive, and prescriptive—businesses can gain deeper insights and make more informed, data-driven decisions that drive success.

Predictive Analytics 40

Predictive Analytics Data Discovery Data Mining Visualization 40

Whizlabs

DECEMBER 16, 2020

Splunk is proprietary software that provides a web-based interface for searching, monitoring, and evaluating machine-based big data. It performs different functions, such as collecting, indexing, and correlating real-time data in a container that has searchable properties. Scheduled reports. Use of Pivot. Search basics.

Big Data 91

Big Data Monitoring Visualization Real-time Data 91

Astera

FEBRUARY 7, 2024

Keep in mind that zero-ETL is not a technology but rather a philosophy and approach to data integration. Therefore, the term “components of zero-ETL” refers to key elements and strategies that contribute to achieving its goals. In zero-ETL, the emphasis is on direct data movement that enables swift data migrations.

Real-time Data 52

Real-time Data Cybersecurity Data Quality Monitoring 52

Domo

NOVEMBER 15, 2018

Months of forecasting, inventory, and promotion planning all come to life during what many refer to as the Super Bowl season of retail. To avoid Monday-morning quarterbacking and to gain a competitive edge, retailers are turning to technology and real-time data to digitally transform the way they run their business.

Retail 52

Retail Digital Transformation Real-time Data Government 52

Sisense

JANUARY 13, 2021

Iain also wanted to improve access to data across the organization, ensuring that employees throughout the business could easily view, analyze, and use real-time data, regardless of their technical ability. They now include data that can have an effect on sales, such as seasonal variation data and weather data.

Supply Chain 95

Supply Chain Procurement E-Commerce Business Intelligence 95

Argon Digital

OCTOBER 26, 2023

Enhanced Productivity By automating repetitive tasks and ensuring that data is readily available where and when it’s needed, iPaaS integrations empower employees to focus on high-value activities. Improved Decision-Making Access to real-time data from various systems allows for better-informed decision-making.

Product Management 98

Product Management Product Management Real-time Data Human Resource Management 98

Data Pine

OCTOBER 21, 2020

Big data in healthcare is a term used to describe massive volumes of information created by the adoption of digital technologies that collect patients’ records and help in managing hospital performance, otherwise too large and complex for traditional technologies.

Healthcare 145

Healthcare Big Data Data Analytics Data Analytics 145

Data Pine

SEPTEMBER 6, 2022

Armed with real-time data, marketers and content managers can inform their strategies and meet all their content marketing goals. This is a great way to maximize your time and resources using real-time data. Use automation and real-time data. What Is A Content Dashboard?

Real-time Data 71

Real-time Data Visualization Digital Data Visualization 71

Astera

DECEMBER 7, 2023

Now, imagine taking this powerful ETL process and putting it on repeat so you can process huge amounts of data in batches. ETL refers to a process used in data integration and warehousing. Data Processing Order Batch processing lacks sequential processing guarantees, which can potentially alter the output sequence.

Supply Chain 52

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

Astera

DECEMBER 7, 2023

Now, imagine taking this powerful ETL process and putting it on repeat so you can process huge amounts of data in batches. ETL refers to a process used in data warehousing and integration. Data Processing Order Batch processing lacks sequential processing guarantees, which can potentially alter the output sequence.

Supply Chain 52

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

Astera

DECEMBER 18, 2023

However, as data volumes continue to grow and the need for real-time insights increases, banks are pushed to embrace more agile data management strategies. Change data capture (CDC) emerges as a pivotal solution that enables real-time data synchronization and analysis. daily or weekly).

Finance 52

Finance Banking Real-time Data Data Warehouse 52

Astera

AUGUST 28, 2024

A Faster Way to Process Your Data Try out Astera today to automate your batch, micro-batch, and near-real-time data processing. Stream processing, also known as real-time processing, continuously processes data as it’s received or generated. Start Your FREE Trial What is Stream Processing?

Big Data 52

Big Data Real-time Data Data Warehouse Monitoring 52

Sisense

MARCH 20, 2019

MapReduce : The distributed processing framework of the Hadoop ecosystem, MapReduce is often referred to as the heart of the system. Any data engineer should learn how to use MapReduce to filter, sort, and basically map and reduce data sets. IBM does a great job of describing the basics of the framework here.

Big Data 72

Big Data IBM Maintenance IBM Support Data Warehouse 72

Astera

SEPTEMBER 20, 2023

Today, organizations frequently employ cloud-based data warehouses or data lakes to benefit from the cloud’s uncapped performance, flexibility, and scalability. They are also referred to as data integration strategies or methods. However, data federation can introduce some performance challenges.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

Today, organizations frequently employ cloud-based data warehouses or data lakes to benefit from the cloud’s uncapped performance, flexibility, and scalability. They are also referred to as data integration strategies or methods. However, data federation can introduce some performance challenges.

Data Warehouse 52

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

Astera

JULY 20, 2023

Understanding EDI Integration EDI integration refers to the seamless exchange of business documents, such as purchase orders, invoices, and shipping notices between different trading partners. It facilitates the transfer of structured data, removing the need for manual data entry and paper-based transactions.

Supply Chain 40

Supply Chain Real-time Data Documentation Monitoring 40

Astera

AUGUST 16, 2023

EDI capability refers to the company’s ability to fluidly navigate and adapt to these standards, including American National Standards Institute (ANSI) X12, Electronic Data Interchange for Administration, Commerce and Transport (EDIFACT), Trading Data Communications Standard (TRADACOMS), and others.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Supply Chain 52

Insight Software

MARCH 10, 2021

Instead of using fixed time periods (such as fiscal years) as a primary frame of reference, the life cycle approach views budgeting from the perspective of products, services, and programs from the time you initially conceive them to the point at which you retire them or they otherwise reach their conclusion.

Planning 98

Planning E-Commerce Supply Chain Agile 98

Astera

AUGUST 3, 2023

In recent years, EDI’s evolution has been propelled by the advent of advanced technologies like artificial intelligence, cloud computing, and blockchain, as well as changing business requirements, including real-time data access, enhanced security, and improved operational efficiency. billion in 2023 to $4.52

Innovation 52

Innovation E-Commerce Supply Chain Artificial Intelligence 52

Astera

SEPTEMBER 28, 2023

Data Movement Data pipelines handle various data movement scenarios, including replication, migration, and streaming. ETL pipelines typically involve batch processing and structured data transformation. Real-Time Processing It can include real-time data streaming capabilities.

Data Warehouse 52

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

Astera

JULY 18, 2023

These documents would then need to be stored and retrieved for future reference. This integration will enable real-time data exchange, enhanced supply chain visibility, and improved security in the trucking industry. With EDI, the company can eliminate this paperwork, reducing the need for manual labor and storage space.

Logistics 52

Logistics Supply Chain Documentation Real-time Data 52

Monday

SEPTEMBER 29, 2022

By the same token, the company should have a transparent way to display your current earnings, including reliable dashboards that show real-time data. You can track your earnings in real-time and get monthly payments through Stripe or Paypal. High-quality software. Fiverr affiliate program.

Banking 52

Banking Real-time Data Documentation Project Management 52

Astera

NOVEMBER 13, 2023

Lambda Architecture: The Lambda Architecture aims to provide a robust and fault-tolerant solution for processing both batch and real-time data in a scalable way. The architecture is divided into different layers including: Batch Layer: This layer is responsible for handling historical or batch data processing.

Data Warehouse 52

Data Warehouse Real-time Data Planning Agile 52

Insight Software

APRIL 27, 2023

The OECD’s two pillar plan will add a transfer pricing safe harbor for certain marketing and distribution activities, referred to as “Amount B” under Pillar One. A well-designed reporting system like Longview Tax serves up real-time data from across the entire company.

Supply Chain 52

Supply Chain Agile Real-time Data Planning 52

Astera

DECEMBER 18, 2023

However, as data volumes continue to grow and the need for real-time insights increases, banks are pushed to embrace more agile data management strategies. Change data capture (CDC) emerges as a pivotal solution that enables real-time data synchronization and analysis. daily or weekly).

Finance 40

Finance Banking Real-time Data Data Warehouse 40