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.

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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.

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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.

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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.

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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?

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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.

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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.

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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.

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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.

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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

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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.

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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.

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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.

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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.

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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.

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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?

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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

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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.

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Astera

JANUARY 1, 2024

Notably, you can use `dropna()` to remove missing values or `groupby()` to aggregate data. 4. Data Loading After the data has been transformed, it is loaded into a system where it can be analyzed. This can be a database, a data warehouse, or a data lake.

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Astera

JANUARY 1, 2024

Notably, you can use `dropna()` to remove missing values or `groupby()` to aggregate data. 4. Data Loading After the data has been transformed, it is loaded into a system where it can be analyzed. This can be a database, a data warehouse, or a data lake.

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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.

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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.

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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.

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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.

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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.

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Astera

FEBRUARY 9, 2024

According to a study by SAS , only 35% of organizations have a well-established data governance framework, and only 24% have a single, integrated view of customer data. Data governance is the process of defining and implementing policies, standards, and roles for data management.

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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.

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Insight Software

MARCH 4, 2024

Navigating the Data Maze: Challenges in the SAP Landscape For SAP users, data management can feel like a labyrinth, fraught with obstacles and frustrating dead ends. The burden of manual data entry looms large, with endless spreadsheets consuming valuable time and resources.

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Insight Software

MARCH 24, 2024

insightsoftware’s reporting software eliminates the need for manual data processing and puts the organization truly in control of its finances. Traditionally, most campaigns were in-person fundraising events. This KPI measures the number of people who participate in any of the organization’s programs or attend its events.

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Insight Software

SEPTEMBER 26, 2023

These statistics underscore the importance of addressing transparency issues, implementing effective data cleansing processes, and proactively closing the skills gap in SAP data management to ensure data reliability and effectiveness in decision-making.

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