Sisense

JULY 8, 2020

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. In recent years we’ve seen data become vastly more available to businesses. This has allowed companies to become more and more data driven in all areas of their business.

Data Warehouse 90

Data Warehouse Embedded Analytics Real-time Data Documentation 90

Business Analysis Knowledge Share

MARCH 15, 2023

Understanding the key concepts of data warehousing, such as data integration, dimensional modeling, OLAP, and data marts, is vital for business analysts who are responsible for analyzing data and providing insights that drive business performance. What is Data Warehousing?

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Astera

MAY 30, 2024

What Is Data Analytics? Data analytics is the science of analyzing raw data to draw conclusions about it. The process involves examining extensive data sets to uncover hidden patterns, correlations, and other insights. Data Mining : Sifting through data to find relevant information.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Whizlabs

JUNE 27, 2021

The subdomains for this module are: Describing the different types of core data workloads. Describing the data analytics core concepts. Describe How to Work with Relational Data on Azure. Cover the subdomains of this module, as you can expect a good lot of questions from this section: Describing the Analytics Workloads.

Documentation 104

Documentation Data Warehouse Data Visualization Data Analytics 104

Data Pine

JANUARY 24, 2021

Additionally, you want to clarify these questions regarding data analysis now or as soon as possible – which will make your future business intelligence much clearer. This genie (who we’ll call Data Dan) embodies the idea of a perfect data analytics platform through his magic powers. ETL data warehouse*.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

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

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

Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 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

Astera

JANUARY 11, 2024

These challenges include: Legacy Systems: Outdated systems make it difficult to get the best data into your data warehouse. Divergent data sources can lead to conflicting information, undermining accuracy and reliability. A well-planned selection process ensures compatibility, scalability, and security.

Data Warehouse 52

Data Warehouse Finance Visualization Planning 52

Astera

AUGUST 22, 2023

Uncover hidden insights and possibilities with Generative AI capabilities and the new, cutting-edge data analytics and preparation add-ons We’re excited to announce the release of Astera 10.3—the the latest version of our enterprise-grade data management platform. Specify the data layout and the fields you want to extract.

Innovation 52

Innovation Documentation Data Analytics Data Analytics 52

Astera

MAY 9, 2023

Data processing involves transforming raw data into valuable information for businesses. Generally, data scientists process data, which includes collecting, organizing, cleaning, verifying, analyzing, and converting it into readable formats such as graphs or documents.

Data Warehouse 52

Data Warehouse Big Data Innovation Cloud Computing 52

Cprime

MAY 4, 2023

Key Data Integration Use Cases Let’s focus on the four primary use cases that require various data integration techniques: Data ingestion Data replication Data warehouse automation Big data integration Data Ingestion The data ingestion process involves moving data from a variety of sources to a storage location such as a data warehouse or data lake.

Data Warehouse 52

Data Warehouse Big Data Finance Data Quality 52

Astera

AUGUST 29, 2024

It enables easy data sharing and collaboration across teams, improving productivity and reducing operational costs. Identifying Issues Effective data integration manages risks associated with M&A. Assessment includes understanding data ownership, usage, and dependencies.

Data Governance 52

Data Governance Data Warehouse Data Quality Government 52

The BAWorld

DECEMBER 23, 2023

Tasks may include creating prototypes, process diagrams, and documenting them in an SRS or BRD. Business Data Analyst Another distinct type is the Business Data Analyst, often seen working on data analytics projects.

Banking 52

Banking UML Business Analysis Business Analysis 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

Astera

MAY 14, 2024

Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin. Examples include actions (such as data cleaning steps), tools used, tests performed, and lineage (data source).

Government 52

Government Data Governance Master Data Management Documentation 52

Astera

DECEMBER 21, 2022

A research study shows that businesses that engage in data-driven decision-making experience 5 to 6 percent growth in their productivity. These data extraction tools are now a necessity for majority organizations. Extract Data from Unstructured Documents with ReportMiner. What is Data Extraction? Data Mining.

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

Astera

JUNE 8, 2023

Data Integrity and Concurrency Control: Oracle ensures data integrity through constraints, triggers, and advanced concurrency control techniques. Data Analytics and Business Intelligence: Oracle supports powerful data analytics and business intelligence, enabling robust analysis, reporting, and decision-making.

Documentation 52

Documentation Cloud Computing Data Security Data Warehouse 52

Astera

JUNE 8, 2023

Data Integrity and Concurrency Control: Oracle ensures data integrity through constraints, triggers, and advanced concurrency control techniques. Data Analytics and Business Intelligence: Oracle supports powerful data analytics and business intelligence, enabling robust analysis, reporting, and decision-making.

Documentation 52

Documentation Cloud Computing Data Security Data Warehouse 52

Astera

NOVEMBER 27, 2023

It’s a method used to diagnose the data’s health by thoroughly examining its structure, content, and relationships. It ensures that the data is accurate, consistent, and unique before it’s used for ETL and data analytics. It can also highlight patterns, rules, and trends within the data.

Data Mining 52

Data Mining Data Quality Data Governance Business Intelligence 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. MongoDB), key-value stores (e.g., Redis), column-family stores (e.g.,

Data Warehouse 40

Data Warehouse Cloud Computing E-Commerce Documentation 40

Astera

SEPTEMBER 4, 2024

Data mesh was first presented as a concept by Zhamak Dehghani in 2019. It is a domain-oriented data architecture approach to decentralizing data analytics. Data mesh ensures the timely availability of data analytics to multiple teams, eliminating siloed data in the process.

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 52

Astera

MAY 6, 2024

Best For: Businesses that require a wide range of data mining algorithms and techniques and are working directly with data inside Oracle databases. Sisense Sisense is a data analytics platform emphasizing flexibility in handling diverse data architectures. Accessible and customizable due to its open-source nature.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

JULY 18, 2023

Scalability : The best part about data wrangling tools is their ability to handle large data volumes, allowing seamless scalability. These tools employ optimized algorithms and parallel processing techniques, enabling faster data processing and analysis.

Data Quality 52

Data Quality Visualization Data Visualization Documentation 52

Astera

DECEMBER 22, 2022

This data can be in different formats and structures. Thus, businesses will have to manage, enrich, and manipulate data before loading it into another system and performing data analytics. This is where data transformation comes into play. Defining the expression that will be used to filter out data.

Data Warehouse 52

Data Warehouse Banking Data Quality Documentation 52

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

The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Learn these to develop competency in Business Analytics. Data Analytics Terms & Fundamentals. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms. Also, see data visualization.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Actian

OCTOBER 21, 2019

For more information, refer to the Actian Documentation for Avalanche Drivers and Tools. The cluster will have sample data available to use for running SQL commands or building visualizations for your favorite query tools. The Actian Avalanche documentation can be found here.

Documentation 40

Documentation Visualization Planning Data Warehouse 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

The BAWorld

APRIL 27, 2021

How are the Data Analytics projects executed? In this article, I am going to discuss and explain Data Analytics Projects Life Cycle. Over the last two years alone, 90 percent of the data in the world was generated! Looking at the sheer volume of data generated every minute across the globe can be mind-boggling.

Data Analytics 52

Data Analytics Data Analytics Data Visualization Visualization 52

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 340

Big Data Data Analytics Data Analytics Data Warehouse 340

The BAWorld

SEPTEMBER 2, 2021

We generate enormous amounts of a variety of data every day. Businesses obtain valuable insights by analyzing various data like pdf documents, customer reviews, audio analysis, webcam video analysis, voice processing, fraud detection, etc. Non-technical users can also work easily with structured data.

Big Data 52

Big Data Data Warehouse Data Visualization Visualization 52

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. On the flip side, document everything that isn’t working. Develop a “Data Dictionary”.

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87

Astera

OCTOBER 28, 2024

Now, imagine if you could talk to your data warehouse; ask questions like “Which country performed the best in the last quarter?” Believe it or not, striking a conversation with your data warehouse is no longer a distant dream, thanks to the application of natural language search in data management.

Data Warehouse 52

Data Warehouse Documentation Healthcare Artificial Intelligence 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. Migrating from SAS 9.4

IBM Support 40

IBM Support IBM Maintenance IBM cost Data Mining 40