Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

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

DECEMBER 16, 2022

In early September, our team attended the AIRI 2022 IT Summit as one of the official sponsors of the event. We met with a number of industry leaders and demonstrated our unified, end-to-end data management platform, Astera Data Stack. Astera Data Stack version 10.0 Astera Data Stack version 10.0 Final Word.

Data Warehouse 59

Data Warehouse Big Data Data Management Documentation 59

Astera

SEPTEMBER 20, 2024

Cloud databases come in various forms, including relational databases, NoSQL databases, and data warehouses. Strategically located data centers worldwide minimize latency and ensure reliable access to data, even in the event of localized disruptions.

Data Warehouse 40

Data Warehouse Cloud Computing E-Commerce Documentation 40

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. It allows businesses to build ELT data pipelines.

Data Warehouse 52

Data Warehouse Real-time Data Documentation Data Quality 52

Smart Data Collective

JULY 20, 2021

Dell Boomi helps businesses automates manual data management tasks, ensuring more accurate data with quick business workflows. It also supports connecting Salesforce with other critical business applications for enterprise management, finance, human resources, operations and logistics.

Big Data 353

Big Data Documentation Logistics Data Warehouse 353

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

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. It involves a careful evaluation of different solutions to identify the one that aligns most effectively with the organization’s data integration requirements and long-term goals.

IBM Support 52

IBM Support IBM Maintenance IBM cost 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. Stitch also offers solutions for non-technical teams to quickly set up data pipelines.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 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. Considering cloud-first data management?

Data Warehouse 52

Data Warehouse Data Quality Data Management Data Security 52

Astera

MAY 30, 2023

Harness the Power of No-Code Data Pipelines As businesses continue to accumulate data at an unprecedented rate, the need for efficient and effective data management solutions has become more critical than ever before. This step involves a range of operations, such as data mapping, data cleansing, and data enrichment.

Data Warehouse 52

Data Warehouse Retail Data Management Logistics 52

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

JANUARY 19, 2024

Shortcomings in Complete Data Management : While MuleSoft excels in integration and connectivity, it falls short of being an end-to-end data management platform. Notably, MuleSoft lacks built-in capabilities for AI-powered data extraction and the direct construction of data warehouses.

IBM Support 52

IBM Support IBM cost IBM Maintenance Data Warehouse 52

Astera

JUNE 13, 2023

Real-time Data Pipeline: Handles data in a streaming fashion, essential for time-sensitive applications and immediate insights. Cloud Data Pipeline: Leverages cloud infrastructure for seamless data integration and scalable processing. Finally, it involves loading it into a data warehouse or any other type of destination.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Visualization 52

Astera

JUNE 13, 2023

Real-time Data Pipeline: Handles data in a streaming fashion, essential for time-sensitive applications and immediate insights. Cloud Data Pipeline: Leverages cloud infrastructure for seamless data integration and scalable processing. Finally, it involves loading it into a data warehouse or any other type of destination.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Visualization 52

Astera

JUNE 13, 2023

Real-time Data Pipeline: Handles data in a streaming fashion, essential for time-sensitive applications and immediate insights. Cloud Data Pipeline: Leverages cloud infrastructure for seamless data integration and scalable processing. Finally, it involves loading it into a data warehouse or any other type of destination.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Visualization 52

Astera

DECEMBER 18, 2023

These processes are critical for banks to manage and utilize their vast amounts of data effectively. 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. What is Change Data Capture?

Finance 52

Finance Banking Real-time Data Data Warehouse 52

Astera

NOVEMBER 28, 2023

Data pipelines improve data management by: Streamlining Data Processing: Data pipelines are designed to automate and manage complex data workflows. For instance, they can extract data from various sources like online sales, in-store sales, and customer feedback.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

AUGUST 15, 2024

One such scenario involves organizational data scattered across multiple storage locations. In such instances, each department’s data often ends up siloed and largely unusable by other teams. This displacement weakens data management and utilization. The solution for this lies in data orchestration.

Data Quality 52

Data Quality Monitoring Artificial Intelligence Government 52

GAVS Technology

NOVEMBER 3, 2020

As evident in most hospitals, these information are usually scattered across multiple data sources/databases. Hospitals typically create a data warehouse by consolidating information from multiple resources and try to create a unified database. Limitations of Current Methods. GRAPH processing In Rhodium.

Healthcare 52

Healthcare Data Mining Data Warehouse Data Management 52

Astera

DECEMBER 18, 2023

These processes are critical for banks to manage and utilize their vast amounts of data effectively. 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. What is Change Data Capture?

Finance 40

Finance Banking Real-time Data Data Warehouse 40

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

MAY 31, 2024

On the other hand, Data Science is a broader field that includes data analytics and other techniques like machine learning, artificial intelligence (AI), and deep learning. Data integration combines data from many sources into a unified view. The integrated data is then stored in a Data Warehouse or a Data Lake.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 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

Actian

OCTOBER 18, 2019

Actian DataConnect enhances the capabilities of Avalanche with a scalable Integration Platform as a Service (IPaaS) offering to help you manage connections from all of your source systems into your Avalanche data warehouse. With DataConnect, you will have the tools to acquire, prepare and deliver data to Avalanche with ease.

Data Warehouse 40

Data Warehouse Data Management Planning 40

Domo

SEPTEMBER 11, 2019

Last month I traveled to San Diego with several other Domo solution consultants for the annual Gartner Catalyst Conference , a four-day event for tech professionals interested in learning more about the trends and topics at the forefront of IT. It’s a great primer for anyone contemplating going down this increasingly popular road.

Data Warehouse 52

Data Warehouse Pharmaceutical Healthcare Real-time Data 52

Actian

FEBRUARY 25, 2020

Some exciting technology trends are emerging that are projected to hit the mainstream over the next few years that will have a significant impact on your data management systems. The IT industry is changing rapidly, and there are 4 key emerging technology trends that data management and IT professionals should be monitoring closely.

Data Warehouse 40

Data Warehouse Data Management Data Modelling Monitoring 40

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

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. Find out How

E-Commerce 52

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

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

FEBRUARY 24, 2020

The meaningful signals in the data get drowned out by the noise, and before long, decision-makers stop using the data entirely. This is what happens when big data isn’t managed – it becomes clutter. Converting streaming data into actionable insights is a process of incremental refinement – a value chain.

Data Warehouse 40

Data Warehouse Real-time Data Agile Big Data 40

Actian

JANUARY 25, 2019

2018 was a year of solid growth and progress for Actian, with many announcements and company highlights – including a major acquisition, a proprietary event, product innovations and much more! Hybrid Data Conference. Keep an eye out for updates on 2019 events in the pipeline! Actian Zen Core Database for Android.

Cybersecurity 40

Cybersecurity Data Warehouse Innovation Big Data 40

Domo

JULY 8, 2021

It’s also important to think about how you’re going to manage your cloud vendors/providers. In order to manage your infrastructure such as networks, storage, services, data management, and virtualization, you’ll likely be working with several cloud providers, including cloud data integration and cloud BI providers.

Data Governance 52

Data Governance Government Embedded Analytics Business Intelligence 52

Actian

JULY 8, 2019

Every piece of data you collect has a time stamp of when it was created or observed. Data starts aging from the time it is created, not when it is collected and added to a data warehouse. It is important to understand when your data was collected and how current the data is you ingest from different data sources.

Data Warehouse 40

Data Warehouse Real-time Data Data Management Agile 40

Astera

MAY 6, 2024

Data mining goes beyond simple analysis—leveraging extensive data processing and complex mathematical algorithms to detect underlying trends or calculate the probability of future events. What Are Data Mining Tools? The Prerequisite to Data Mining: Astera Data mining requires meticulous data preparation and processing.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

AUGUST 12, 2024

Fraudsters often exploit data quality issues, such as missing values, errors, inconsistencies, duplicates, outliers, noise, and corruption, to evade detection and carry out their schemes. According to Gartner , 60% of data experts believe data quality across data sources and landscapes is the biggest data management challenge.

IBM Support 52

IBM Support Data Quality IBM Maintenance IBM cost 52

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