AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. These upstream data sources constitute the data producer components.

Data Warehouse 92

Data Warehouse Data Lake Analytics Data Science 92

CIO Business Intelligence

JUNE 29, 2022

Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done.

Data Lake 111

Data Lake Analytics Data Warehouse Machine Learning 111

CIO Business Intelligence

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 127

Analytics Machine Learning Software Data Quality 127

AWS Big Data

JANUARY 17, 2024

His expertise lies in assisting customers with migrating intricate enterprise systems and databases to AWS, constructing enterprise data warehousing and data lake platforms. Melody Yang is a Senior Big Data Solution Architect for Amazon EMR at AWS. Aditya Shah is a Software Development Engineer at AWS.

Data Lake 93

Data Lake Snapshot Big Data Data-driven 93

AWS Big Data

JUNE 29, 2023

Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time. In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flink’s advanced streaming capabilities.

Data Analytics 74

Data Analytics Analytics IoT Data Lake 74

AWS Big Data

SEPTEMBER 6, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. With Amazon Redshift, you can analyze all your data to derive holistic insights about your business and your customers. You can also schedule stored procedures to automate data processing on Amazon Redshift. Satesh Sonti is a Sr.

Data Warehouse 96

Data Warehouse Insurance Statistics Software 96

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Bindu Chandramohan, Lead, Data Analytics, Alation : Thanks, Jason!

Metrics 52

Metrics Dashboards Sales Reporting 52

AWS Big Data

APRIL 27, 2023

Amazon Athena supports the MERGE command on Apache Iceberg tables, which allows you to perform inserts, updates, and deletes in your data lake at scale using familiar SQL statements that are compliant with ACID (Atomic, Consistent, Isolated, Durable).

Data Lake 74

Data Lake Snapshot Optimization Data Transformation 74

AWS Big Data

MARCH 3, 2023

In this post, we share how the AWS Data Lab helped Tricentis to improve their software as a service (SaaS) Tricentis Analytics platform with insights powered by Amazon Redshift. Finally, data integrity is of paramount importance. For users that require a unified view of software quality, this is unacceptable.

Software 52

Software Data Lake Testing Cost-Benefit 52

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. When it comes to data modeling, function determines form.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

OCTOBER 5, 2023

Amazon AppFlow , a fully managed data integration service, has been at the forefront of streamlining data transfer between AWS services, software as a service (SaaS) applications, and now Google BigQuery. Architecture Let’s review the architecture to transfer data from Google BigQuery to Amazon S3 using Amazon AppFlow.

Data Warehouse 86

Data Warehouse Machine Learning Data Integration Data-driven 86

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. If we talk about Big Data, data visualization is crucial to more successfully drive high-level decision making.

Visualization 136

Visualization Cost-Benefit Big Data Prescriptive Analytics 136

Rocket-Powered Data Science

MARCH 20, 2023

In fact, by putting a single label like AI on all the steps of a data-driven business process, we have effectively not only blurred the process, but we have also blurred the particular characteristics that make each step separately distinct, uniquely critical, and ultimately dependent on specialized, specific technologies at each step.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Unstructured Data 325

AWS Big Data

MARCH 15, 2023

Performance and scalability of both the data pipeline and API endpoint were key success criteria. The data pipeline needed to have sufficient performance to allow for fast turnaround in the event that data issues needed to be corrected.

Cost-Benefit 67

Cost-Benefit Data Processing Optimization Data-driven 67

Jet Global

MAY 28, 2019

Whether the reporting is being done by an end user, a data science team, or an AI algorithm, the future of your business depends on your ability to use data to drive better quality for your customers at a lower cost. So, when it comes to collecting, storing, and analyzing data, what is the right choice for your enterprise?

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

Birst BI

FEBRUARY 25, 2020

Managing large-scale data warehouse systems has been known to be very administrative, costly, and lead to analytic silos. The good news is that Snowflake, the cloud data platform, lowers costs and administrative overhead. The result is a lower total cost of ownership and trusted data and analytics.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

AWS Big Data

SEPTEMBER 19, 2023

Problem statement In order to keep up with the rapid movement of fraudsters, our decision platform must continuously monitor user events and respond in real-time. However, our legacy data warehouse-based solution was not equipped for this challenge. Amazon DynamoDB is another data source for our Streaming 2.0

Analytics 79

Analytics Risk Big Data Machine Learning 79

AWS Big Data

AUGUST 1, 2023

Although Jira Cloud provides reporting capability, loading this data into a data lake will facilitate enrichment with other business data, as well as support the use of business intelligence (BI) tools and artificial intelligence (AI) and machine learning (ML) applications. On the AWS CloudFormation console, return to the stack.

Data Lake 86

Data Lake Data Transformation Cost-Benefit Data-driven 86

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 89

Data Lake Data Warehouse Data-driven B2B 89

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 6, 2024

These tools excel at data integration, consolidating information from various financial systems (ERP, CRM, legacy) into a central hub. This eliminates data fragmentation, a major obstacle for AI. Additionally, they provide robust data transformation capabilities.

Finance 52

Finance Reporting Data Transformation Optimization 52

Jet Global

APRIL 24, 2024

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your data analysis? How does AI impact analytics and how do you get started? Forget the one-size-fits-all approach.

Business Intelligence 52

Business Intelligence Dashboards Software Reporting 52

Jet Global

AUGUST 24, 2023

It streamlines data integration, ensures real-time access to accurate information, enhances collaboration, and provides the flexibility needed to adapt to evolving ERP systems and business requirements. Data transformation ensures that the data aligns with the requirements of the new cloud ERP system. Privacy Policy.

Finance 52

Finance Reporting Data Integration Risk 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

JULY 19, 2023

This is especially true with our embedded analytics offering, Logi Symphony, where we regularly solicit feedback through insightsoftware’s customer community. Let’s explore some of the latest enhancements and how they improve our industry-leading embedded analytics solution. Here’s how it works.

Dashboards 52

Dashboards Visualization Reporting Interactive 52

Jet Global

OCTOBER 30, 2023

Together, CXO and Power BI provide you with access to insights from both EPM and BI data in one tool. You can now elevate their decision-making process by drilling down into more detailed data, and enriching EPM figures with non-financial data. Transforming Financial Reporting with Dynamic Dashboards Download Now 1.

Dashboards 52

Dashboards Reporting Operational Reporting Software 52

Jet Global

MARCH 14, 2024

Microsoft recently introduced a comprehensive analytics solution for its enterprise customers, Microsoft Fabric. The solution offers data movement, data science, real-time analytics, and business intelligence within a single platform.

Analytics 52

Analytics Management Reporting Enterprise 52

Jet Global

NOVEMBER 7, 2023

The Challenges of Extracting Enterprise Data Currently, various use cases require data extraction from your OCA ERP, including data warehousing, data harmonization, feeding downstream systems for analytical or operational purposes, leveraging data mining, predictive analysis, and AI-driven or augmented BI disciplines.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52

Jet Global

AUGUST 9, 2023

Speed time to market with faster data migration, easier data transformation. Wands for SAP Wands for SAP empowers your finance team to leverage their existing Excel skills to streamline data entry to drive efficiencies in your month-end process. Time-to-value acceleration — Quick installation. Privacy Policy.

Finance 52

Finance Reporting Management Enterprise 52

Jet Global

MARCH 13, 2024

Complex Data Structures and Integration Processes Dynamics data structures are already complex – finance teams navigating Dynamics data frequently require IT department support to complete their routine reporting. I understand that I can withdraw my consent at any time. Privacy Policy.

Reporting 52

Reporting Finance Data Quality Sales 52