Sisense

JULY 22, 2020

They hold structured data from relational databases (rows and columns), semi-structured data ( CSV , logs, XML , JSON ), unstructured data (emails, documents, PDFs), and binary data (images, audio , video). Sisense provides instant access to your cloud data warehouses. Connect tables.

Digital Transformation 98

Digital Transformation Data Warehouse IBM Support IBM cost 98

Sisense

APRIL 7, 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. We live in an era of Big Data. The sheer amount of data being generated is greater than ever (we hit 18 zettabytes in 2018) and will continue to grow.

Big Data 86

Big Data Data Warehouse Product Management Product Management 86

Sisense

JANUARY 6, 2021

Once the data is flowing to your reports, you can tweak your presentations until they look and operate exactly how you want. Have a look at Sisense documentation to see how easy it is to plug in and create reports. Here are some of your options: Model: Blend big data from a variety of sources into Sisense machine learning algorithms.

Innovation 119

Innovation Visualization Data Visualization Product Management 119

Sisense

JULY 14, 2019

If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe? Data security is one of the defining issues of the age of AI and Big Data. Selecting Secure Software.

Data Security 75

Data Security Data Modelling Documentation Cybersecurity 75

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Astera

OCTOBER 7, 2022

But unstructured data is no longer dark data, unavailable for analysis. Advancements in artificial intelligence (AI) technology now make it possible for organizations to open previously-closed doors to big data that offer a trove of untapped insights. Unstructured data is qualitative and more categorical in nature.

Data Analytics 52

Data Analytics Data Analytics Documentation Customer Experience 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. These include dimensional models and data vaults.

Data Warehouse 52

Data Warehouse Data Modelling Banking Real-time Data 52

Astera

JUNE 1, 2023

While SQL databases have been dominant for decades, the rise of big data and need for greater flexibility have led to the growing popularity of NoSQL databases. A NoSQL database is a non-relational database that stores data in a format other than rows and columns. The two most popular options are SQL and NoSQL databases.

Documentation 52

Documentation E-Commerce Big Data Master Data Management 52

Astera

JUNE 1, 2023

While SQL databases have been dominant for decades, the rise of big data and need for greater flexibility have led to the growing popularity of NoSQL databases. A NoSQL database is a non-relational database that stores data in a format other than rows and columns. The two most popular options are SQL and NoSQL databases.

Documentation 52

Documentation E-Commerce Big Data Master Data Management 52

Data Pine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business.

Data Quality 96

Data Quality Monitoring Big Data Government 96

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. Unstructured Data. of organizations are investing in big data.

Big Data 52

Big Data Data Warehouse Data Visualization Visualization 52

Astera

AUGUST 22, 2023

update is the cutting-edge AI capabilities, enabling data extraction at unprecedented speeds. With just a few clicks, you can effortlessly handle unstructured documents. This new AI feature accelerates and simplifies document processing. Specify the data layout and the fields you want to extract.

Innovation 52

Innovation Documentation Data Analytics Data Analytics 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

MAY 30, 2024

One MIT Sloan Review research revealed extensive data analytics helps organizations provide individualized recommendations, fostering loyal customer relationships. What Is Big Data Analytics? Velocity : The speed at which this data is generated and processed to meet demands is exceptionally high.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Astera

JULY 3, 2024

It organizes data for efficient querying and supports large-scale analytics. Data warehouse architecture defines the structure and design of a centralized repository for storing and analyzing data from various sources. This setup supports diverse analytics needs, including big data processing and machine learning.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Astera

MARCH 7, 2024

Primary purpose is to ensure that the data being tested is moving as it’s supposed to. Aims to ensure that all data follows the data model’s predefined rules. Applying Transformations Next, you must ensure that data is adequately transformed to match the destination data warehouse’s schema.

Data Warehouse 52

Data Warehouse Data Quality Documentation Data Modelling 52

Astera

JANUARY 2, 2024

Breaking down data silos and building a single source of truth (SSOT) are some prerequisites that organizations must do right to ensure data accuracy. Big Data Management Growing data volumes compel organizations to invest in scalable data management solutions.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

JUNE 3, 2024

These databases are suitable for managing semi-structured or unstructured data. Types of NoSQL databases include document stores such as MongoDB, key-value stores such as Redis, and column-family stores such as Cassandra. These databases are ideal for big data applications, real-time web applications, and distributed systems.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

SEPTEMBER 20, 2024

NoSQL Databases: NoSQL databases are designed to handle large volumes of unstructured or semi-structured data. Unlike relational databases, they do not rely on a fixed schema, providing more flexibility in data modeling. There are several types of NoSQL databases, including document stores (e.g.,

Data Warehouse 40

Data Warehouse Cloud Computing E-Commerce Documentation 40

Astera

OCTOBER 27, 2023

Transitioning to a different cloud provider or adopting a multi-cloud strategy becomes complex, as the migration process may involve rewriting queries, adapting data models, and addressing compatibility issues. Dimensional Modeling or Data Vault Modeling? We've got both!

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Whizlabs

APRIL 19, 2021

His specialities include CyberSecurity, IoT, Blockchain, Crypto, Artificial Intelligence, Private Equity, Venture, Cloud, Big Data, Mobile, Social, 5G, CIO, Governance, Due-diligence, STEM, Data Centers. Even though he is a Cloud Architect, he is into the roles of DevOps Engineer, Data Modeller and Database Developer.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Astera

AUGUST 28, 2024

The concept of data analysis is as old as the data itself. Big data and the need for quickly analyzing large amounts of data have led to the development of various tools and platforms with a long list of features. While it offers a graphical UI, data modeling is still complex for non-technical users.

IBM Support 40

IBM Support IBM Maintenance IBM cost Data Mining 40

Insight Software

MAY 1, 2023

Ideally, your primary data source should belong in this group. Modern Data Sources Painlessly connect with modern data such as streaming, search, big data, NoSQL, cloud, document-based sources. Look for those that do not require data replication or advanced data modeling. Read carefully.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52