A Compute Cloud allows public cloud subscribers to scale out their workload to meet the demand for additional processing power dynamically. Why Is the Compute Cloud Important? Without a Compute Cloud, individual businesses would have to carefully plan their anticipated…
What is Data Ingestion? Before data can be processed or analyzed, it must be ingested by an application program, data integration platform or database management system. All applications operate in three phases: data ingestion, processing, and output. Data Ingestion in…
A data lakehouse combines the data storage repository of a lakehouse with an integrated data warehouse for analytic processing. Metadata and a data catalog that describes the data sets and their interrelationships link the data lake and the data warehouse.…
Data Sharing makes a single copy of data available to multiple applications, users, and external business partners. Why Is Data Sharing Important? Data sharing is important because it provides controlled, trusted, and maintained copies of high-quality data to subscribers. Data…
Edge Computing refers to an architecture that places computing resources close to where data is created on the edge of a network to support smart devices and the Internet of Things (IoT) use cases. Why Is Edge Computing Important? Edge…
Log Analytics IT systems continually generate log files that contain timestamped events. Log analytics interrogates these files to visualize activity, discover anomalies, and analyze the root causes of issues. Why It Is Important When IT systems fail, support staff investigate…
Metadata Metadata provides information about data. Why Is Metadata Important? It provides information that helps consumers find, use, and understand the data’s quality and where it came from. Metadata also demonstrates how data is related to provide context for users.…
Microstrategy is a publicly traded software company that delivers Business Intelligence (BI) solutions. Why Are Business Intelligence Solutions Important? Most businesses have more operational and market data than they can fully explore. BI solutions complement the Actian Data Platform by…
Natural Language Processing (NLP) is the term applied to Artificial Intelligence’s (AI) ability to understand spoken or written language. Natural Language Processing is a foundational software component enabling humans to interact with computers using voice or typed dialogs. Why is…
Python is a powerful high-level programming language used for application and web development. Guido van Rossum created the language, which was initially released in 1991. History of Python It was created as a hobby project by Guido van Rossum during…
What Is a Digital Twin? A digital twin is a virtual representation of a physical asset or system. It is created using data from sensors and other sources to create a real-time replica of the asset or system. Digital twins…
One petabyte (PB) is 1,024 Terabytes or 1,048,576 Gigabytes. How Big Is a Petabyte? Starting with the smallest, the following progression is intended to depict a Petabyte in context: In a computer system, relative sizes are expressed in Bytes. One…
The term concurrency is used in computing to describe the ability to run multiple parallel software tasks using multiprocessor systems, which reduce processing times compared to a single-threaded approach. Why Is Concurrency Important? Without concurrency capabilities, applications can not scale…
Risk analytics are used to assess and project potential levels of risk based on existing data. Risk analysis is the process used to determine risk so adverse consequences can be avoided or mitigated. Why Is Risk Analytics Important? Risk analytics…
Apache Parquet is an open-source file format often used for big data in Hadoop clusters. Parquet stores data using a flat compressed, columnar storage data format. The Apache Spark provides high-level APIs for developers to use, including support for Java,…
What is predictive analytics? It is a set of techniques that uncover patterns in data to anticipate future outcomes. Historical and current data is projected forward to provide foresight that allows an organization to be proactive. Why Is Predictive Analytics…
