Actian

FEBRUARY 19, 2019

Companies have learned a lot about how to eliminate waste, achieve consistency and empower employees to proactively solve issues, but all these efforts have been constrained by the availability of real-time data for decision making. Real-time data leads to faster and more accurate optimization efforts.

Real-time Data 40

Real-time Data Supply Chain Data Warehouse Monitoring 40

Actian

FEBRUARY 17, 2020

Your users are happy, but management is starting to ask questions about what’s next and how they can pull together the data from across different systems to drive real-time decision making across your operations. You need a real-time connected data warehouse. To learn more, visit www.actian.com.

Data Warehouse 40

Data Warehouse Digital Transformation Supply Chain Logistics 40

Domo

MAY 24, 2021

To understand how to get there, let’s first look at why it’s been so complicated to leverage all your data. Your company likely has data integrations and pipelines in place to support using data analytics to answer business questions, discover relationships and correlations, and predict outcomes across key areas of your business.

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Data Pine

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. of all data is currently analyzed and used. click for book source**.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Inflexion Analytics

JULY 23, 2021

With predictive analytics, a type of statistical modelling, you can use the real-time data collected from fields and combine it with data from the past to predict what currently is happening and what is going to happen. But falling costs means that data and analytics tools will soon be accessible to the many.

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Astera

MAY 25, 2023

Unlocking the Potential of Amazon Redshift Amazon Redshift is a powerful cloud-based data warehouse that enables quick and efficient processing and analysis of big data. Amazon Redshift can handle large volumes of data without sacrificing performance or scalability. What Is Amazon Redshift? 

Data Warehouse 52

Data Warehouse Data Modelling Banking Real-time Data 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

The BAWorld

SEPTEMBER 18, 2024

Load : The formatted data is then transferred into a data warehouse or another data storage system. ELT (Extract, Load, Transform) This method proves to be efficient when both your data source and target reside within the same ecosystem. Extract: Data is pulled from its source.

Data Warehouse 52

Data Warehouse Finance Data Architecture Banking 52

Actian

DECEMBER 2, 2019

Checklist: Critical Capabilities to Consider when Selecting a Data Integration Vendor That Enables Real-Time Analytics Use Cases. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation.

Data Warehouse 8

Data Warehouse Digital Transformation Real-time Data Vision 8

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

Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. What is Reverse ETL?

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

It ensures businesses can harness the full potential of their data assets effectively and efficiently. It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

It ensures businesses can harness the full potential of their data assets effectively and efficiently. It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making.

Data Warehouse 52

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

Actian

FEBRUARY 6, 2020

In a rapidly changing environment, business leaders make decisions based on near real-time data. for this type of analytics, and the prospects are exciting! Can’t my Reporting Tools Handle Streaming Data Already? As they say in the financial industry, “past results are not an indicator of future performance.”

Data Warehouse 40

Data Warehouse Supply Chain Real-time Data Big Data 40

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

Actian

AUGUST 27, 2019

There’s an influx of data being generated, but half of enterprises lack the resources to access it and use it in real-time. Data complexity creates a barrier to entry here, though. Over two in five (45%) say the complexity of real-time data and big data present a challenge when looking to harness their data.

Real-time Data 40

Real-time Data Logistics Big Data Data Warehouse 40

Actian

AUGUST 27, 2019

There’s an influx of data being generated, but half of enterprises lack the resources to access it and use it in real-time. Data complexity creates a barrier to entry here, though. Over two in five (45%) say the complexity of real-time data and big data present a challenge when looking to harness their data.

Real-time Data 40

Real-time Data Logistics Big Data Data Warehouse 40

Actian

JUNE 24, 2019

Benefiting the most from your data involves making it easily accessible for those people who need to use it while maintaining confidentiality of sensitive company data and personal data about customers. Enterprise data has never been more important to companies than it is today. Performance. Flexibility.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Astera

SEPTEMBER 4, 2023

This scalability is particularly beneficial for growing businesses that experience increasing data traffic. Enable Real-time Analytics: Data replication tools continuously synchronize data across all systems, ensuring that analytics tools always work with real-time data.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Warehouse 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. Stream processing, also known as real-time processing, continuously processes data as it’s received or generated.

Big Data 52

Big Data Real-time Data Data Warehouse Monitoring 52

Actian

JUNE 17, 2019

The key to converting data into actionable insights is having the right set of tools and a structured method for processing data through a value stream to generate progressive levels of refinement. There are only 2 levels of refinement (aggregation into the warehouse and curation into reports) occurring.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Actian

OCTOBER 21, 2019

When we engage with prospects, they typically tell us that they wish to simplify their data ecosystem and bring the analytics capabilities to the data, rather than duplicating all of their data assets in a cloud data warehouse environment. High performing analytics that thrives under demanding scenarios.

Vision 40

Vision Data Warehouse Retail Data Discovery 40

Astera

APRIL 28, 2023

To address these challenges, approximately 44% of companies are planning to invest in artificial intelligence (AI) to streamline their data warehousing processes and improve the accuracy of their insights. AI is a powerful tool that goes beyond traditional data analytics.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

APRIL 7, 2023

Data Integration – the process of collecting and combining data from multiple data sources to create a unified data view. Data Storage – a process of storing and managing the collected data in a data warehouse or a database repository.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

Data Integration – the process of collecting and combining data from multiple data sources to create a unified data view. Data Storage – a process of storing and managing the collected data in a data warehouse or a database repository.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 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 8, 2023

Data Validation: Astera guarantees data accuracy and quality through comprehensive data validation features, including data cleansing, error profiling, and data quality rules, ensuring accurate and complete data. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

OCTOBER 19, 2023

Once satisfied, easily export the organized data to various formats or integrate it with downstream systems for analysis, visualization, or consumption with just a few clicks. Alteryx Alteryx data preparation tool offers a visual interface with hundreds of no/low-code features to perform various data preparation tasks.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Astera

DECEMBER 21, 2022

In simple terms, data extraction is the process of extracting and gathering data from semi-structured and unstructured sources, such as emails, PDF documents, PDF forms, text files, social media, barcodes, and images. How is unstructured data extraction done? Real-Time Data Extraction for Big Data Analysis.

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

Actian

SEPTEMBER 3, 2019

As AI and machine learning become more actively involved in defining user experience, the lines are blurring between traditionally separate transactional databases and data warehouses used for analytics.

Data Architecture 40

Data Architecture User Experience Data Warehouse Real-time Data 40

Actian

SEPTEMBER 3, 2019

As AI and machine learning become more actively involved in defining user experience, the lines are blurring between traditionally separate transactional databases and data warehouses used for analytics.

Data Architecture 40

Data Architecture User Experience Data Warehouse Real-time Data 40

Data Pine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

Smart Data Collective

JUNE 6, 2021

While you may think that you understand the desires of your customers and the growth rate of your company, data-driven decision making is considered a more effective way to reach your goals. The use of big data analytics is, therefore, worth considering—as well as the services that have come from this concept, such as Google BigQuery.

Big Data 338

Big Data Data Analytics Data Analytics Data Warehouse 338

Data Pine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. This should also include creating a plan for data storage services. Define a budget.

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87

Inflexion Analytics

JUNE 17, 2024

This streamlines the process, enabling focus on actual data analytics and deriving insights for improved customer service and operational efficiency. What is a Data Pipeline and How Can Google CDF Help? This makes for the final step in building a typical ETL data pipeline (extract-transform-load).

Digital 52

Digital E-Commerce Real-time Data Data Warehouse 52

Astera

AUGUST 28, 2024

However, with the abundance of different types of data analysis tools in the market, what was supposed to be a simple task has become a complex undertaking. This article aims to simplify the process of finding the data analytics platform that meets your organization’s specific needs.

IBM Support 40

IBM Support IBM Maintenance IBM cost Data Mining 40

Astera

APRIL 10, 2023

In today’s digital landscape, data management has become an essential component for business success. Many organizations recognize the importance of big data analytics, with 72% of them stating that it’s “very important” or “quite important” to accomplish business goals. Real-time Data Integration Every day, about 2.5

Data Management 52

Data Management IBM Maintenance Real-time Data IBM Support 52