Astera

APRIL 13, 2023

In the digital age, a data warehouse plays a crucial role in businesses across several industries. It provides a systematic way to collect and analyze large amounts of data from multiple sources, such as marketing, sales, finance databases, and web analytics. What is a Data Warehouse?

Data Warehouse 52

Data Warehouse Data Mining Business Intelligence Business Intelligence 52

Actian

JULY 17, 2019

Data integration, like the digital-transformation initiatives it supports, is a journey and not a destination. Cloud-based integration platforms and hybrid data warehouses are providing an answer to some of these challenges. Why are distributed queries problematic? How to address the distributed queries challenge?

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Actian

OCTOBER 29, 2019

When it comes to data management and data warehouse solutions, right now is the best time to move forward on modernization. Legacy data warehouse systems are aging. Modern data warehouse solutions are mainstream tech. Data warehousing and analytics aren’t just about the warehouse.

Data Warehouse 40

Data Warehouse Digital Transformation Digital Finance 40

Actian

JUNE 4, 2019

Implementing a data warehouse is a big investment for most companies and the decisions you make now will impact both your IT costs and the business value you are able to create for many years. Data Warehouse Cost. Your data warehouse is the centralized repository for your company’s data assets.

Data Warehouse 40

Data Warehouse Digital Transformation Data Quality Data Modelling 40

Data Pine

MAY 9, 2019

In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips. They’re needed to cut through the noise, and get to the good stuff in the sea of data we all live in. The data warehouse.

Business Intelligence 108

Business Intelligence Business Intelligence Procurement Data Warehouse 108

Data Pine

MAY 29, 2019

One of the BI architecture components is data warehousing. Organizing, storing, cleaning, and extraction of the data must be carried by a central repository system, namely data warehouse, that is considered as the fundamental component of business intelligence. What Is Data Warehousing And Business Intelligence?

Business Intelligence 78

Business Intelligence Business Intelligence Data Warehouse Visualization 78

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 Data Quality Cloud Computing Monitoring 52

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 Data Quality Cloud Computing Monitoring 52

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. Try our BI software 14-days for free & take advantage of your data!

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

BizAcuity

APRIL 14, 2022

Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. According to Gartner, through 2025, 80% of the organizations seeking to scale their digital business will fail because they do not take a modern approach to data and analytics governance.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

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

FEBRUARY 9, 2024

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. Astera’s Data Destinations can be critical in setting up the credit risk assessment pipelines. Transformation features.

Banking 52

Banking Data Warehouse Data Quality Data Security 52

Inflexion Analytics

JULY 23, 2021

Now it’s time for the smaller farms to embrace the digital transformation. Large economic potential is linked to big data. And we think it can secure the fortunes of a new generation of digitally savvy farming professionals—as long as you know what it can do and how you can use it. Building a profitable farm business.

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Astera

NOVEMBER 28, 2023

Data plays a significant role in business growth and digital initiatives for approximately 94% of enterprises. However, the full potential of these data assets often remains untapped, primarily due to the scattered nature of the data. Real-time Ingestion: In this method, data is processed immediately as it arrives.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Domo

JULY 1, 2021

In a time when everyone is trying to realize the promise of digital transformation, many organizations are migrating their infrastructure to the cloud. One cloud may be designed using best practices for security, but another might cut corners, placing your sensitive data at risk. There’s also the issue of scale.

Embedded Analytics 64

Embedded Analytics Data Warehouse Digital Transformation Innovation 64

Actian

JULY 16, 2019

IoT devices (such as smart watches, fitbits, home sensors, RFID point of sale scanners, heartbeat monitors, etc) have become attractive and useful because of their inexpensive price point, ease of setup/administration and their diverse capabilities. IoT data Integration and Digital Transformation.

Digital Transformation 40

Digital Transformation Monitoring Data Warehouse Real-time Data 40

Actian

JULY 31, 2019

Primarily, Relational DataBase Management Systems (RDBMS) managed the needs of these systems and eventually evolved into data warehouses, storing and administering Online Analytical Processing (OLAP) for historical data analysis from various companies, such as Teradata, IBM, SAP, and Oracle.

IBM Support 8

IBM Support Documentation IBM Maintenance Data Warehouse 8

Domo

MAY 17, 2021

Amazon Web Services (AWS) act as the backbone of today’s digital infrastructure by providing on-demand cloud computing platforms and APIs to businesses and governments worldwide. For the best results, make sure you understand how you store data in S3 along with its relation to other S3 databases.

Data Warehouse 52

Data Warehouse Cloud Computing Monitoring Logistics 52

Data Pine

SEPTEMBER 29, 2022

Engineered to be the “Swiss Army Knife” of data development, these processes prepare your organization to face the challenges of digital age data, wherever and whenever they appear. Why Do You Need Data Quality Management? Industry-wide, the positive ROI on quality data is well understood.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Astera

JANUARY 2, 2024

Free Download Here’s what the data management process generally looks like: Gathering Data: The process begins with the collection of raw data from various sources. Once collected, the data needs a home, so it’s stored in databases, data warehouses , or other storage systems, ensuring it’s easily accessible when needed.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

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

Actian

MAY 22, 2019

When most company leaders think about their data warehouse and the systems connected to it, they typically think about their internal IT systems. For companies with outsourced supply chains, real time integration with their suppliers’ systems and data warehouse can enable better insights, better security and more supply-chain agility.

Supply Chain 40

Supply Chain Agile Data Warehouse Monitoring 40

Astera

AUGUST 13, 2024

It requires the entire organization, including IT, to prioritize the cultivation, connection, management, analysis, and utilization of data wherever it is located. A data-first modernization approach directs digital transformation efforts towards creating value centered around data rather than focusing on updating technology infrastructure.

Data Governance 52

Data Governance Data Architecture Data Quality Real-time Data 52

Data Pine

JULY 1, 2020

“The goal is to turn data into information, and information into insight.” – Carly Fiorina, former executive, president, HP. Digital data is all around us. quintillion bytes of data every single day, with 90% of the world’s digital insights generated in the last two years alone, according to Forbes.

Retail 104

Retail Healthcare Visualization Business Intelligence 104

Astera

MARCH 20, 2024

The increasing digitization of business operations has led to the generation of massive amounts of data from various sources, such as customer interactions, transactions, social media, sensors, and more. This data, often referred to as big data, holds valuable insights that you can leverage to gain a competitive edge.

Data Management 52

Data Management Master Data Management Data Quality Government 52

Actian

SEPTEMBER 12, 2019

Companies use distributed AI algorithms to monitor and optimize real-time operations – receiving inputs from embedded sensors, GPS-enabled mobile applications, IoT devices, and video cameras and aggregating this data into a holistic, digital representation of the physical operations.

Data Requirement 40

Data Requirement Artificial Intelligence Data Warehouse Cloud Computing 40

Actian

SEPTEMBER 12, 2019

Companies use distributed AI algorithms to monitor and optimize real-time operations – receiving inputs from embedded sensors, GPS-enabled mobile applications, IoT devices, and video cameras and aggregating this data into a holistic, digital representation of the physical operations.

Data Requirement 8

Data Requirement Artificial Intelligence Data Warehouse Cloud Computing 8

Domo

JUNE 19, 2020

While TTCU’s previous solution did some things incredibly well—particularly in terms of elegantly handling financial reporting such as income statements and balance sheets—its data warehouse component was very limited; it was only able to integrate around 40% of their systems. That wasn’t nearly good enough for TTCU.

Real-time Data 52

Real-time Data Data Warehouse Monitoring Digital 52

Data Pine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. ETL data warehouse*. Next step is to consider what your goal is and what decision-making it will facilitate. 7) Who are the final users of your analysis results?

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

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. How CDC Works in Data Integration?

Finance 52

Finance Banking Real-time Data Data Warehouse 52

Astera

JUNE 3, 2024

These databases typically support features like inheritance, polymorphism, and encapsulation and are best for applications like computer-aided design (CAD), multimedia projects and applications, software development, digital media, and gaming. These are some of the most common databases. Learn more about different types of databases.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

JULY 13, 2023

This process includes moving data from its original locations, transforming and cleaning it as needed, and storing it in a central repository. Data integration can be challenging because data can come from a variety of sources, such as different databases, spreadsheets, and data warehouses.

Data Warehouse 40

Data Warehouse Data Quality Data Governance Master Data Management 40

Astera

JUNE 14, 2023

Marketplace Model: Digital platforms like Alibaba and Amazon Business connect buyers and sellers for streamlined transactions. Centerprise : It is user-friendly software that smoothly integrates data from various sources. You can design, execute, and monitor data integration workflows with this tool.

Procurement 40

Procurement Data Security Monitoring Retail 40

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. The data these systems generate is significant, and in even a small organization, the number of data sources can be extensive.

Data Warehouse 40

Data Warehouse Data Management Data Modelling Monitoring 40

Astera

MAY 14, 2024

Let’s look at some of the metadata types below: Operational metadata: details how and when data occurs and transforms. This metadata type helps to manage, monitor, and optimize system architecture performance. Examples include time stamps, execution logs, data lineage, and dependency mapping. Image by Astera.

Government 52

Government Data Governance Master Data Management Documentation 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. How CDC Works in Data Integration?

Finance 40

Finance Banking Real-time Data Data Warehouse 40

Whizlabs

JUNE 15, 2021

It offers high performance and availability with single-digit latency. It is the most widely used cloud data warehouse for combining exabytes of semi-structured and structured data. . As per your own terms, you can also monitor the metrics. QUANTUM LEDGER DATABASE (QLDB).

Cloud Computing 52

Cloud Computing Data Warehouse Data Modelling Monitoring 52