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

Astera

JUNE 6, 2023

The pipeline includes stages such as data ingestion, extraction, transformation, validation, storage, analysis, and delivery. Technologies like ETL, batch processing, real-time streaming, and data warehouses are used. Real-time Pipelines : These pipelines process data in near real-time or with low latency.

Data Warehouse 52

Data Warehouse Monitoring Real-time Data Documentation 52

Astera

SEPTEMBER 25, 2024

Custom Data Transformations: Users can create custom transformations through DBT or SQL. Real-time Monitoring: Includes monitoring and failure alerting for seamless pipeline management. Why Consider Airbyte Alternatives for Data Integration? With Astera, users can: Extract data from PDFs using our LLM-powered solution.

Real-time Data 52

Real-time Data Data Warehouse Documentation Monitoring 52

Astera

FEBRUARY 9, 2024

Loss Given Default (LGD) : This measures the potential loss to the lender or investor in the event of default by a borrower. Data Loading Once you’ve have ensured data quality, you must configure a secure connection to the bank’s data warehouse using Astera’s Data Connectors.

Banking 52

Banking Data Warehouse Data Quality Data Security 52

Astera

FEBRUARY 9, 2024

Data Loading The IT team configures a secure connection to BankX’s data warehouse using Astera’s Data Connectors. Astera has native connectors for various data warehouses, such as Amazon Redshift, Google BigQuery, or Snowflake, and can also load data into other destinations, such as files, databases, etc.

Data Warehouse 52

Data Warehouse Data Quality Data Security Monitoring 52

Astera

JANUARY 19, 2024

Mulesoft and Its Key Features MuleSoft provides a unified integration platform for connecting applications, data, and devices on-premises and in the cloud. Built on Java, its Anypoint Platform acts as a comprehensive solution for API management, design, monitoring, and analytics. Unified reporting console for streamlined monitoring.

IBM Support 52

IBM Support IBM cost IBM Maintenance Data Warehouse 52

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? Snowflake ETL tools are not a specific category of ETL tools.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Astera

APRIL 24, 2024

There are different types of data ingestion tools, each catering to the specific aspect of data handling. Standalone Data Ingestion Tools : These focus on efficiently capturing and delivering data to target systems like data lakes and data warehouses.

Data Warehouse 52

Data Warehouse Real-time Data Documentation Data Quality 52

Domo

APRIL 10, 2017

In addition to Domopalooza 2017, held March 21st -24th, Domo was at two different events in London within a two-week period. At Retail Week Live and Gartner Data & Analytics Conference 2017, both of which were held in the same building near the O2 Arena in London, we spoke with attendees about how Domo can solve their business problems.

Retail 52

Retail Supply Chain Real-time Data Data Warehouse 52

Domo

JULY 1, 2021

As you review new features, consider where your data has potential for exposure. With every new feature that is released, from low-code apps to cloud data warehouse integrations to embedded analytics, Domo bakes in ongoing review of security standards to ensure security compliance.

Embedded Analytics 64

Embedded Analytics Data Warehouse Digital Transformation Innovation 64

Astera

NOVEMBER 28, 2023

For instance, they can extract data from various sources like online sales, in-store sales, and customer feedback. They can then transform that data into a unified format, and load it into a data warehouse. Facilitating Real-Time Analytics: Modern data pipelines allow businesses to analyze data as it is generated.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

JUNE 6, 2023

The transformation layer applies cleansing, filtering, and data manipulation techniques, while the loading layer transfers the transformed data to a target repository, such as a data warehouse or data lake. Types of ETL Architectures Batch ETL Architecture: Data is processed at scheduled intervals.

Data Quality 52

Data Quality Monitoring Data Warehouse Data Security 52

Astera

DECEMBER 18, 2023

For instance, if the extracted data contains missing values or outliers, these issues are addressed during the transformation process to ensure data accuracy. Finally, the transformed data is loaded into a target system or data warehouse for reporting and analysis. What is Change Data Capture?

Finance 52

Finance Banking Real-time Data Data Warehouse 52

Astera

JANUARY 24, 2024

Modern data management relies heavily on ETL (extract, transform, load) procedures to help collect, process, and deliver data into an organization’s data warehouse. However, ETL is not the only technology that helps an enterprise leverage its data. The tool offers open-source extensibility.

Data Warehouse 52

Data Warehouse Data Quality Data Management Data Security 52

Astera

AUGUST 28, 2024

For example, an influencer marketing agency will focus more on its social media activity to identify areas of improvement, and a manufacturing company will collect sensor data to assess machine performance during a period. Note that this can require rearchitecting your data pipelines to ensure they can handle real-time data streams.

Big Data 52

Big Data Real-time Data Data Warehouse Monitoring 52

Astera

MARCH 13, 2023

Collaboration : Easily share custom-built reports with team members and stakeholders to make informed, data-driven decisions. Create up to 300 Events: GA4 automatically tracks the basic events, but you can also create customized events to track user interactions on your website.

Predictive Analytics 52

Predictive Analytics Data Warehouse Visualization Data Visualization 52

Astera

JANUARY 18, 2024

Mergers and acquisitions don’t only involve the shareholders—in fact, all stakeholders, including the customers, are affected by these transformative events. Centerprise for data integration and building and orchestrating data pipelines. API Management for designing, testing, publishing, and monitoring APIs.

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Warehouse 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

Astera

JUNE 13, 2023

It leverages stream processing frameworks like Apache Kafka to process all data in real time, simplifying the pipeline architecture and reducing latency. Event-driven Pipelines Event-driven data pipelines leverage events to trigger data processing and propagate changes across the pipeline.

E-Commerce 52

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

Astera

OCTOBER 31, 2023

At its core, it is a set of processes and tools that enables businesses to extract raw data from multiple source systems, transform it to fit their needs, and load it into a destination system for various data-driven initiatives. The target system is most commonly either a database, a data warehouse, or a data lake.

Data Warehouse 52

Data Warehouse Monitoring Data Quality Documentation 52

Actian

FEBRUARY 25, 2020

The IT industry is changing rapidly, and there are 4 key emerging technology trends that data management and IT professionals should be monitoring closely. Event-driven applications – Traditional IT applications were built around structured workflows that were well defined, much like a novel.

Data Warehouse 40

Data Warehouse Data Management Data Modelling Monitoring 40

Astera

SEPTEMBER 4, 2023

These tools make this process far easier and manageable even for those with limited technical expertise, as most tools are now code-free and come with a user-friendly interface. Help Implement Disaster Recovery Plans: Data loss due to unexpected events like natural disasters or human error can be catastrophic for a business.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost 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

MAY 31, 2024

Analysts use data analytics to create detailed reports and dashboards that help businesses monitor key performance indicators (KPIs) and make data-driven decisions. Data analytics is typically more straightforward and less complex than data science, as it does not involve advanced machine learning algorithms or model building.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Astera

MAY 30, 2023

They are responsible for collecting, transforming, and moving data from various sources to a central location for analysis and decision-making. Data pipelines can process data from different types of sources, including databases, files, and applications, and then store them in a central repository such as a data warehouse or a data lake.

Data Warehouse 52

Data Warehouse Retail Data Management Logistics 52

Astera

SEPTEMBER 20, 2024

his setup allows users to access and manage their data remotely, using a range of tools and applications provided by the cloud service. Cloud databases come in various forms, including relational databases, NoSQL databases, and data warehouses. Common in-memory database systems include Redis and Memcached.

Data Warehouse 40

Data Warehouse Cloud Computing E-Commerce Documentation 40

Astera

AUGUST 15, 2024

It’s also more contextual than general data orchestration since it’s tied to the operational logic at the core of a specific pipeline. Since data pipeline orchestration executes an interconnected chain of events in a specific sequence, it caters to the unique data requirements a pipeline is designed to fulfill.

Data Quality 52

Data Quality Monitoring Artificial Intelligence Government 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

Actian

FEBRUARY 24, 2020

Recent technology trends, such as IoT, embedded sensors, data subscriptions, and mobile apps, have greatly expanded your data collection options. These new data collection technologies enable you to monitor what is going on both inside your operations as well as in the broader business environment in real-time.

Data Warehouse 40

Data Warehouse Real-time Data Agile Big Data 40

Sisense

JULY 14, 2019

Disaster Recovery: deals with how vital systems are backed up so that if they are damaged or destroyed, code and vital data is recoverable. Incident Management: provides an action plan in case of a breach or other security event. Cloud-native warehouses like Snowflake aren’t willing to lose ground in the data security game, either.

Data Security 75

Data Security Data Modelling Documentation Cybersecurity 75

Astera

APRIL 23, 2024

Data quality metrics are not just a technical concern; they directly impact a business’s bottom line. million annually due to low-quality data. Furthermore: 41% of data warehouse projects are unsuccessful, primarily because of insufficient data quality.

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

Actian

JUNE 7, 2019

The Map Designer interface has been enhanced, so users can be more efficient by allowing them to: configure events and actions from the “simple mapping” view, bulk-edit field properties and receive immediate interactive feedback on expressions. Avalanche Map connector – A new Avalanche connector to support data with your cloud data warehouse.

Data Warehouse 40

Data Warehouse Visualization Agile Monitoring 40

Data Pine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. You should then monitor that metric for a longer period with the goal to reduce it.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Astera

DECEMBER 18, 2023

For instance, if the extracted data contains missing values or outliers, these issues are addressed during the transformation process to ensure data accuracy. Finally, the transformed data is loaded into a target system or data warehouse for reporting and analysis. What is Change Data Capture?

Finance 40

Finance Banking Real-time Data Data Warehouse 40

Insight Software

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. In a rapidly changing business environment, business leaders must constantly monitor and adjust to changing circumstances.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Warehouse 52

Sisense

JUNE 24, 2019

So you’ve got this all-in-one solution that pulls together any other programs you may be using and lets you manage and monitor them from one centralized location and includes reports for your deployment process.

Cloud Computing 75

Cloud Computing Monitoring Data Warehouse 75

Cprime

JANUARY 27, 2021

Power BI is a set of services, apps, and connectors that together turn your unrelated sources of data into coherent, virtually immersive, and interactive insights. Data may come from virtually any common source such as Excel, SQL, cloud-based and on-premises data warehouses. Block out Office 365 calendar for an hour.

User Experience 52

User Experience Documentation Data Warehouse Visualization 52