AWS Big Data

AUGUST 22, 2024

There are various types of pipelines that need to be migrated from the existing integration platform to the AWS Cloud, and the pipelines have different types of sources like Oracle, Microsoft SQL Server, MongoDB, Amazon DocumentDB (with MongoDB compatibility) , APIs, software as a service (SaaS) applications, and Google Sheets.

Data Warehouse 116

Data Warehouse Data Lake Data Integration Management 116

CIO Business Intelligence

APRIL 8, 2022

Underpinning each winning project is a diverse suite of products, solutions, and platforms, sourced from an array of vendors large and small. This is the 2022 US CIO 100 Solutions Partners. Please join us in congratulating the Solutions Partners of the 2022 US CIO 100 award winners. The 2022 winners.

Consulting 105

Consulting Technology Enterprise IT 105

CIO Business Intelligence

OCTOBER 19, 2023

This post handpicks various challenges for existing integration solutions. or databases such as Oracle, MongoDB, MySQL, etc. A cloud-based data integration solution called Skyvia is pioneering the space and enabling more businesses to merge data from multiple sources and further them to a cloud-based data warehouse.

Data Integration 126

Data Integration Unstructured Data Data-driven Data Warehouse 126

erwin

MAY 14, 2021

NoSQL databases, such as Couchbase and MongoDB, are purpose-built to handle the variety, velocity and volume of these new data use cases. As the data modeling industry leader, erwin has identified a critical success factor for the majority of organizations adopting a NoSQL platform like Couchbase, Cassandra and MongoDB.

Modeling 80

Modeling Digital Transformation Data-driven Optimization 80

AWS Big Data

MARCH 18, 2024

MongoDB Another interesting connector is for MongoDB. This new connector replaces the old one provided by MongoDB directly, which only supports older Flink Sink and Source APIs. About the Authors Lorenzo Nicora works as Senior Streaming Solution Architect at AWS, helping customers across EMEA.

Management 122

Management Snapshot Broadcasting Optimization 122

AWS Big Data

MAY 16, 2024

Today, we are announcing the general availability of Amazon DocumentDB (with MongoDB compatibility) zero-ETL integration with Amazon OpenSearch Service. Solution overview At a high level, this solution involves the following steps: Enable change streams on the Amazon DocumentDB collections. Verify the data in OpenSearch Service.

Data Processing 126

Data Processing Data Warehouse Management Metrics 126

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. What’s more interesting, however, are the trends formed as a result of the newer digitally-reliant solutions. In fact, there’s no escaping the increasing reliance on such technologies.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

Sisense

MARCH 20, 2019

As a company that touts the benefits of a full end-to-end BI solution, we certainly know the value of a data engineer. MongoDB (or NoSQL) : An open source Database Management System (DBMS), MongoDB uses a document-oriented database model. To do that, a data engineer needs to be skilled in a variety of platforms and languages.

Big Data 72

Big Data Machine Learning Data Warehouse Unstructured Data 72

IBM Big Data Hub

OCTOBER 24, 2023

In this post, we’ll provide step-by-step instructions on how to apply this solution in your organization. To implement this solution, we’ll complete the following steps: Create a trusted profile template. Now, SRE access is included in both established and newly created accounts. Add a trust relationship.

Enterprise 65

Enterprise Management 65

AWS Big Data

APRIL 30, 2024

You can troubleshoot your jobs by asking Amazon Q Developer to explain errors and propose solutions. He is passionate about distributed computing and using ML/AI for designing and building end-to-end solutions to address customers’ data integration needs. In his spare time, he enjoys spending time with family and friends.

Data Integration 128

Data Integration Data Lake Data Warehouse Software 128

AWS Big Data

JULY 1, 2024

OSI makes it simple, with straightforward integrations , to ingest data from many AWS services, including Amazon DynamoDB , Amazon Simple Storage Service (Amazon S3), Amazon Managed Streaming for Apache Kafka (Amazon MSK), and Amazon DocumentDB (with MongoDB compatibility). He builds large-scale search applications and solutions.

Management 116

Management Data Processing Publishing Analytics 116

FineReport

JUNE 24, 2021

Originally, Excel has always been the “solution” for various reporting and data needs. Once the data becomes more extensive or more complex, Excel or other simple solutions may “fetter” your potentialities. That’s why business intelligence solutions(BI solutions) come into our minds.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

AWS Big Data

AUGUST 22, 2023

Customers need a cloud-native automated solution to archive historical data from their databases. This post proposes an automated solution by using AWS Glue for automating the PostgreSQL data archiving and restoration process, thereby streamlining the entire procedure. The following diagram illustrates the solution architecture.

Data Processing 98

Data Processing Testing Data Lake Data Integration 98

AWS Big Data

SEPTEMBER 12, 2024

You can extend the solution in directions such as the business intelligence (BI) domain with customer 360 use cases, and the risk and compliance domain with transaction monitoring and fraud detection use cases. The following figure summarizes the AWS services available to support the solution framework described so far.

Management 105

Management Analytics Data Lake Interactive 105

AWS Big Data

OCTOBER 18, 2023

AWS Secrets Manager helps you manage, retrieve, and rotate database credentials, and natively supports storing database secrets for Amazon Relational Database Service (Amazon RDS), Amazon Aurora , Amazon Redshift, and Amazon DocumentDB (with MongoDB compatibility). About the Authors Tahir Aziz is an Analytics Solution Architect at AWS.

Snapshot 115

Snapshot Management Data Warehouse Dashboards 115

Ontotext

JUNE 27, 2019

It provides the core infrastructure for solutions where modeling agility, data integration, relationship exploration, cross-enterprise data publishing and consumption are critical. GraphDB: MongoDB Document Store Integration for Large-scale Metadata Management. The integration between GraphDB and MongoDB is done by a plugin.

Metadata 40

Metadata Management Enterprise Publishing 40

Ontotext

JUNE 27, 2019

One of the latest new features of GraphDB is the MongoDB document store integration. This is a really exciting feature as it increases the write scalability of RDF solutions when dealing with document-centric data. The integration between GraphDB and MongoDB is done by a plugin. Step 2: Creating a MongoDB connector.

Metadata 40

Metadata Management Optimization Enterprise 40

FineReport

SEPTEMBER 3, 2020

For most companies, using Excel to create reports is the most common reporting solution. Therefore, a good reporting platform should support the most common databases, including mainstream relational databases and the trending NoSQL databases such as MongoDB. Reporting Solutions: A Complete Guide. shows at FineReport first.

Reporting 95

Reporting Dashboards Visualization Data Warehouse 95

Ontotext

JUNE 24, 2020

GraphQL Federation over GraphDB, MongoDB and a Semantic Vector Space. Schema Definition Language Query. Federated Annotation and Character Similarity. Federated Annotation, Character Similarity and Universe. So, it’s now possible to invoke GraphQL queries over MongoDB to retrieve Web Annotation JSON-LD.

Modeling 64

Modeling Technology IT Management 64

AWS Big Data

OCTOBER 20, 2023

AWS Glue natively integrates with various data stores such as MySQL, PostgreSQL, MongoDB, and Apache Kafka, along with AWS data stores such as Amazon S3, Amazon Redshift , Amazon Relational Database Service (Amazon RDS), and Amazon DynamoDB. option("header","true").load("abfss:// load("abfss:// @.dfs.core.windows.net/input-csv/covid/")

Data Lake 111

Data Lake Big Data Data Warehouse Consulting 111

Ontotext

MARCH 18, 2020

The main market driver generating demand for knowledge graphs is that B2B clients are on the lookout for intelligent knowledge management solutions that work the same way as the solutions Apple, Amazon, Google and Microsoft provide to their B2C users. Why Enterprise Knowledge Graphs?

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Sisense

JUNE 5, 2019

We’ll be focusing on relational database management systems (RDBMS), NoSQL DBMS, columnar stores, and cloud solutions. Examples of these database technologies include MongoDB, Riak, Amazon S3, Cassandra, and Hbase. Cloud Solutions. There are some drawbacks to using a cloud solution, however.

Big Data 75

Big Data Cost-Benefit IoT Structured Data 75

AWS Big Data

JULY 19, 2023

AWS Glue natively integrates with various data stores such as MySQL, PostgreSQL, MongoDB, and Apache Kafka, along with AWS data stores such as Amazon S3, Amazon Redshift , Amazon Relational Database Service (Amazon RDS), Amazon DynamoDB , and Amazon S3. He has extensive experience in helping various types of enterprises migrate to the cloud.

Big Data 98

Big Data Software Consulting Unstructured Data 98

erwin

NOVEMBER 16, 2021

In the white paper, Top 10 Considerations for Choosing a Data Modeling Solution, the analysts at IT Central Station looked at what actual customers were saying about what led them to select erwin® Data Modeler by Quest® as the tool they relied on as the foundation of their application modernization lifecycle.

Modeling 52

Modeling Unstructured Data Business Objectives Digital Transformation 52

Ontotext

APRIL 2, 2020

Ontotext Platform (Ontotext’s knowledge graph platform for building enterprise solutions), for example, uses GraphQL to lower the barrier of entry to knowledge graph data and at the same time provides the richness and expressivity of SPARQL. Last but not least, it has a rich visual query and management workbench UI. Ready to try it yourself?

Visualization 52

Visualization Testing Manufacturing Data Architecture 52

Sisense

SEPTEMBER 3, 2020

Data scientists usually build models for data-driven decisions asking challenging questions that only complex calculations can try to answer and creating new solutions where necessary. Often called “unicorns,” people with all of the requisite skills to fill this role are rare indeed.

Statistics 97

Statistics Metrics Visualization Finance 97

AWS Big Data

MARCH 25, 2024

Another example is an AI-driven observability and monitoring solution where FMs monitor real-time internal metrics of a system and produces alerts. This solution falls short when a near-real-time personalized response is expected from the application. Stream processing is an ideal solution for these challenges.

Data Lake 122

Data Lake Unstructured Data Management Snapshot 122

CIO Business Intelligence

MAY 24, 2023

In a lively discussion, MongoDB CISO Lena Smart, Assured co-founder Ed Ventham, and Omdia principal analyst Andrew Braunberg will explore how to get the most value out of policies that are becoming more diverse and complex – and where the sector still needs to evolve. Another fast-changing area is cyberinsurance.

Risk 52

Risk Machine Learning Strategy Data Analytics 52

AWS Big Data

OCTOBER 4, 2023

Solution overview In this post, we create an EMR cluster with following architecture. About the Authors Ashwini Kumar is a Senior Specialist Solutions Architect at AWS based in Delhi, India. He works with customers to design and build analytics solutions, enabling businesses to make data-driven decisions.

Big Data 114

Big Data Optimization Data-driven Management 114

FineReport

APRIL 26, 2023

To build insightful solutions and drive value for your enterprise, consider exploring some of the best Big Data Courses to acquire knowledge and expertise in big data tools and technologies. Here are the key features of Apache Hadoop: Free to use and offers an efficient storage solution for businesses. Handles multiple data sources.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

BizAcuity

AUGUST 1, 2022

Jaspersoft is particularly resourceful as a cost-effective big data analytics solution that can connect with and present information for Cassandra Analytics, MongoDB Analytics, Hadoop Analytics, among many others. The post TIBCO JasperSoft for BI and Reporting appeared first on BizAcuity Solutions Pvt. [Source: [link] ].

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

Ontotext

NOVEMBER 6, 2019

MongoDB, using JSON, is a non-relational database that has one of the largest developer communities. This plugin allows users to query MongoDB databases using SPARQL and to execute heterogeneous joins, which would otherwise be unsupported. The post The New Improved and Open GraphDB appeared first on Ontotext.

Experimentation 45

Experimentation Deep Learning Software Modeling 45

Sisense

MARCH 13, 2019

So you’ll need to ask the following from your preferred vendor: Can your platform be customized to my requirements so I have an embedded BI solution that works for my specific business and architecture needs? Similarly, you may want to develop other apps or enhance existing apps as quickly and simply as possible.

Analytics 69

Analytics Business Intelligence ROI Cost-Benefit 69

erwin

AUGUST 15, 2022

So, now let’s create an example data model for a traditional relational database, then do the same exact thing for Cassandra and MongoDB. Whitepaper: Top 10 Considerations for Choosing a Data Modeling Solution. Meet with fellow erwin users and learn how to use our solutions efficiently and strategically. Modeling Concept.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

IBM Big Data Hub

SEPTEMBER 19, 2022

Considering solutions for real-time analytics on IoT data. Inventory optimization (in retail). Supply chain optimization (in manufacturing).

IoT 52

IoT Analytics Data Warehouse Manufacturing 52

Sisense

MAY 27, 2019

According to Glassdoor and TechRepublic , data engineers work heavily with a wide range of big data tools for data structuring, management, storage and transfer such as Hadoop, Spark, Kafka, MySQL, Redis, Riak, PostgreSQL, MongoDB, neo4j, Hive, and Sqoop.

Statistics 75

Statistics Machine Learning Visualization Big Data 75

FineReport

MARCH 24, 2024

Several common certifications include: MongoDB Certified Developer and MongoDB Certified Database Administrator from MongoDB University, offering extensive knowledge in advanced databases. IBM: Offers roles in areas like artificial intelligence and business intelligence solutions.

Statistics 52

Statistics Data mining Visualization Sales 52