Insight

AUGUST 20, 2019

PostgreSQL/Redshift PostgreSQL is a popular open source relation database. While NoSQL databases emerged with the advent of big data, relational databases remain widely popular and are still the best solution for many use cases. Redshift is an analytical database/data warehousing solution from AWS.

Data Warehouse 71

Data Warehouse Big Data Data-driven Data Processing 71

Smart Data Collective

APRIL 19, 2022

These factors are why companies will spend over $12 billion on data analytics for marketing solutions by 2027. As a result, employees who work in sales acquire a lot of useful data from a sales report solution. Microsoft Excel includes the ability to import live data from a database using an Excel ODBC connection.

Sales 108

Sales Reporting Data mining Forecasting 108

AWS Big Data

MAY 10, 2023

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. In this post, we show how to perform secure database write-backs with QuickSight.

Dashboards 73

Dashboards Data Warehouse Visualization Data Processing 73

CIO Business Intelligence

APRIL 21, 2022

The solution? A customer data platform (CDP) is a software system that pulls together data from a wide array of sources — such as websites, ecommerce and ad platforms, social media applications, retail software, and more — to create a centralized customer database, as well as detailed profiles of each customer.

Sales 145

Sales Marketing Dashboards Advertising 145

AWS Big Data

APRIL 25, 2024

Solution overview For this post, we consider a use case where a data engineering team wants to build an ETL process and give the best experience to their end-users when they want to query the latest data after new raw files are added to Amazon S3 in the central account (Account A in the following architecture diagram). secretsmanager ).

Metadata 59

Metadata Data Processing Management Testing 59

Cloudera

FEBRUARY 12, 2024

In a Cloudera deployment scenario, only storage accounts, PostgreSQL DB, and Key Vault support service endpoints. Customers can request this entitlement to be set either through a JIRA ticket or have their Cloudera solution engineer to make the request on their behalf. Please refer to the Microsoft documentation for detail.

Data Warehouse 52

Data Warehouse Machine Learning Data Lake Management 52

CIO Business Intelligence

JUNE 7, 2023

And they all rely on the open-source NoSQL database Apache Cassandra ®. Let’s take a look at why Cassandra is the database of choice for organizations building enterprise-scale, real-time AI applications. This requires a high-performance database that can bring ML to the data.

Machine Learning 52

Machine Learning Modeling Data Warehouse Statistics 52

Octopai

JANUARY 23, 2023

What happens when you need to move datasets from one database to another? Your organization is updating its systems, or you’re moving to the cloud, or your company has been acquired and you need to transfer your data into your new parent company’s databases. Welcome to the database migration experience.

Strategy 61

Strategy Testing Sales Interactive 61

AWS Big Data

APRIL 26, 2023

Organizations may have different ways of maintaining an asset inventory, that may be an Excel spreadsheet or a database with a fully automated system to keep it up-to-date, but with a common objective of keeping it accurate.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Cloudera

JULY 16, 2021

Legacy DWs, often built on traditional database management systems, offer stored procedures that are used to implement advanced ETL and complex workflows. jdbc:hive2://<host>/<database>;transportMode=http;httpPath=cliservice;ssl=true;retries=3;mode=hplsql. Configuring a third-party database management tool.

Data Warehouse 115

Data Warehouse Data Processing Management Testing 115

erwin

SEPTEMBER 5, 2022

When you make poor database design choices for applications deployed to the public cloud, then your company gets to pay every month for all those inherent, built-in inefficiencies. In that scenario, bad database design can easily overwhelm any planned budget. Serverless database deployment. Database design does not scale well.

Modeling 52

Modeling Cost-Benefit Testing Data-driven 52

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. Solutions should be flexible to scale up and down. Portability to multiple channels – Solutions should be compatible with most of endpoint channels like PC, mobile, and gaming platforms.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

FineReport

MARCH 24, 2024

They identify and interpret trends in complex datasets, optimize statistical results, and maintain databases while devising new data collection processes. Data analysts interpret data using statistical techniques, develop databases and data collection systems, and identify process improvement opportunities.

Statistics 52

Statistics Data mining Visualization Reporting 52

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. Database Knowledge. SQL : Learn how to communicate with relational databases through SQL. MongoDB (or NoSQL) : An open source Database Management System (DBMS), MongoDB uses a document-oriented database model.

Big Data 72

Big Data Machine Learning Data Warehouse Unstructured Data 72

Sisense

MARCH 19, 2019

Choosing the right solution to warehouse your data is just as important as how you collect data for business intelligence. In addition to its significant storage capacity, the data warehousing solution delivers several key benefits that make it an intriguing and possibly ideal choice for business intelligence.

Data Warehouse 94

Data Warehouse Cost-Benefit Business Intelligence Data Processing 94

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. Database design is often an important part of the business analyst role. Database Specialist. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

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 82

Data Lake Big Data Consulting Data Warehouse 82

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.

Big Data 81

Big Data Software Consulting Unstructured Data 81

AWS Big Data

AUGUST 16, 2023

Automated Data Analytics (ADA) on AWS is an AWS solution that enables you to derive meaningful insights from data in a matter of minutes through a simple and intuitive user interface. We also demonstrate how you can use the ADA solution to connect to different data sources in AWS. For this demo, MFA is not enabled.

Data Analytics 74

Data Analytics Analytics Visualization Software 74

AWS Big Data

MARCH 13, 2024

For ingesting these external data sources, Vector databases have evolved, which can store vector embeddings of the data source and allow for similarity searches. Overview of Amazon RDS for PostgreSQL with pgvector The pgvector extension adds an open source vector similarity search to PostgreSQL.

Data Processing 109

Data Processing Dashboards Machine Learning Management 109

Sisense

MAY 27, 2019

Here, we’re talking about architectures like databases and large-scale processing systems. The data scientist is mostly focused on the relationships of the data within an organization’s database. Engineers seek to dig out the data from all the sources available to your organization, then integrate, manage, and optimize it.

Statistics 75

Statistics Machine Learning Visualization Big Data 75

Cloudera

APRIL 23, 2021

HDFS Native encryption works in combination with solutions such as Protegrity Tokenization where encrypted data in HDFS can be tokenized and detokenized based on the policies defined by the Protegrity ESA server. 2021-02-26 12:32:53,561 - keytrustee.server.orgtool - INFO - Adding organization to database. from the internet.

Data Processing 68

Data Processing Metadata Testing Management 68

AWS Big Data

MARCH 3, 2023

Building data lakes from continuously changing transactional data of databases and keeping data lakes up to date is a complex task and can be an operational challenge. A solution to this problem is to use AWS Database Migration Service (AWS DMS) for migrating historical and real-time transactional data into the data lake.

Data Lake 81

Data Lake Dashboards Metrics Metadata 81

AWS Big Data

NOVEMBER 29, 2023

Eightfold is transforming the world of work by providing solutions that empower organizations to recruit and retain a diverse global workforce. One of the challenges with multi-tenant environments is that database objects are visible to all tenants even though tenants are only authorized to access certain objects.

Metadata 102

Metadata Data Warehouse Analytics Data Analytics 102

AWS Big Data

OCTOBER 20, 2023

This post demonstrates a solution for resolving private DNS hostnames defined in a customer VPC for MSK Connect. For example, you might have a MySQL or PostgreSQL database and may not want the DNS name for your database to be publicly resolvable or accessible. The following diagram illustrates the high-level architecture.

Data Processing 85

Data Processing Snapshot Data Warehouse Management 85

AWS Big Data

DECEMBER 18, 2023

In this post, we show you an ETL pipeline job that exports data from Amazon Relational Database Service (Amazon RDS) tables using the Step Functions distributed map state. The sample data pipeline sources product catalog data from Amazon DynamoDB and customer order data from Amazon RDS for PostgreSQL database.

Metadata 119

Metadata Visualization Data Lake Data-driven 119

AWS Big Data

JUNE 19, 2023

Also, data owners benefit from their datasets putting less load on backend database resources, making it more scalable and performant to serve higher user concurrency. In this example, we use an Amazon RDS for PostgreSQL database. The data is loaded in an RDS for PostgreSQL database table called nytaxidata.

Optimization 70

Optimization Slice and Dice Dashboards Recreation/Entertainment 70

Cloudera

DECEMBER 2, 2021

In addition to AKS and the load balancers mentioned above, this includes VNET, Data Lake Storage, PostgreSQL Azure database, and more. By default Azure Data Lake Storage, PostgreSQL Database, and Virtual Machines are accessible over public endpoints. Network Traffic with the CDP Control Plane.

Data Lake 123

Data Lake Data Warehouse Data Processing Interactive 123

AWS Big Data

FEBRUARY 12, 2024

This compiled data is then imported into Aurora PostgreSQL Serverless for operational reporting. Gupshup chose Aurora PostgreSQL as the operational reporting layer due to its anticipated increase in concurrency and cost-effectiveness for queries that retrieve only precalculated metrics.

Data Warehouse 98

Data Warehouse Analytics Snapshot Cost-Benefit 98

Cloudera

MARCH 15, 2023

In this post, I will demonstrate how to use the Cloudera Data Platform (CDP) and its streaming solutions to set up reliable data exchange in modern applications between high-scale microservices, and ensure that the internal state will stay consistent even under the highest load. Introduction Many modern application designs are event-driven.

Snapshot 88

Snapshot Data-driven Publishing Optimization 88

AWS Big Data

MARCH 21, 2024

Amazon Relational Database Service (Amazon RDS) for MySQL zero-ETL integration with Amazon Redshift was announced in preview at AWS re:Invent 2023 for Amazon RDS for MySQL version 8.0.28 The extract, transform, and load (ETL) process has been a common pattern for moving data from an operational database to an analytics data warehouse.

Data Warehouse 86

Data Warehouse Metrics Optimization Statistics 86

AWS Big Data

FEBRUARY 14, 2023

Teams often try to replicate thousands of jobs from relational databases with the same extract, transform, and load (ETL) pattern. The job expects tables in the raw layer to be structured in the way AWS Database Migration Service (AWS DMS) ingests them: schema, then table, then data files. Deploy the solution using AWS CloudFormation.

Data Lake 80

Data Lake Statistics Data Architecture Finance 80

Smart Data Collective

AUGUST 12, 2022

Organizations that need servers for their databases or cloud computing can’t just go out and buy the first option that presents itself, though. Your server’s configuration is going to be essential for your cloud solutions. Type of database. If you’re looking for a database server, you’ll need something built for the job.

Strategy 78

Strategy Optimization Data Processing Management 78

AWS Big Data

NOVEMBER 29, 2023

This cloud service was a significant leap from the traditional data warehousing solutions, which were expensive, not elastic, and required significant expertise to tune and operate. At AWS re:Invent, we extended zero-ETL integration to additional sources specifically Aurora PostgreSQL, Dynamo DB, and Amazon RDS MySQL.

Data Warehouse 99

Data Warehouse Data Lake Analytics Machine Learning 99

datapine

FEBRUARY 17, 2023

White labeling and embedding analytics tools and methodologies enhance interpretive capabilities, solve targeted challenges, address risks, and offer personalized real-time analytical solutions through smart modern real-time dashboard tools. BI solutions offer real-time access to multiple data sources in one centralized location.

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

Sisense

APRIL 9, 2019

So when it comes to building a database, going open source is a natural fit. While all databases have commonalities, every use case has its own hangups, and enterprising builders want to tackle these challenges in their own ways. In this article, we’ll dig into Hadoop, PostgreSQL, Apache Cassandra, and Elasticsearch. PostgreSQL.

Analytics 75

Analytics Software IoT Big Data 75

Cloudera

AUGUST 10, 2022

Cloudera has a strong track record of providing a comprehensive solution for stream processing. Cloudera Stream Processing (CSP), powered by Apache Flink and Apache Kafka, provides a complete stream management and stateful processing solution. Deploying a new JDBC Sink connector to write data from a Kafka topic to a PostgreSQL table.

Dashboards 86

Dashboards Data-driven Statistics Management 86