Sisense

JANUARY 28, 2021

Like every new dev environment, there is a learning curve, so a good idea is to start with simple projects and move on to bigger and more advanced ones down the road. In this tutorial, we’ll embed a Sisense dashboard as a lightning webforce component into a Salesforce object (account, opportunity, etc.)

Analytics 83

Analytics Dashboards Visualization Data-driven 83

Ontotext

DECEMBER 2, 2021

In our previous blog posts of the series, we talked about how to ingest data from different sources into GraphDB , validate it and infer new knowledge from the extant facts as well as how to adapt and scale our basic solution. And the LAZY system from our previous blog posts is at the threshold of that important step. Which is great.

Visualization 98

Visualization Interactive Dashboards Enterprise 98

Cloudera

MARCH 14, 2023

In our previous DataFlow Designer blog post , we introduced you to the new user interface and highlighted its key capabilities. In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development.

Testing 80

Testing Publishing Metadata Interactive 80

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? If so, you know about the failed economics of some cloud-native solutions on the market today. If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

IBM Big Data Hub

OCTOBER 25, 2023

Leaders must also address the expertise gap by prioritizing talent development and get cultural buy-in on modernization as a strategic, future-proofing business investment rather than an operational technology play. Highly repetitive and manual tasks can be handled by cloud-native code generation, from short snippets to full functions.

Cost-Benefit 90

Cost-Benefit ROI Modeling Testing 90

Sisense

APRIL 17, 2020

This is all a far cry from the time when storing information was the biggest challenge an organization had to overcome. Those insights inform business decisions, so data teams need to ensure they get into the hands of colleagues and end-user customers. Data warehouses have changed the way the world deals with data.

Data Warehouse 90

Data Warehouse Visualization Statistics Machine Learning 90

Sisense

OCTOBER 15, 2020

Unlike a batch processing job that runs within an isolated batch with clear start and end times, a stream processing job runs continuously on each event separately. Optimizing object storage. Another goal that teams dealing with streaming data may have is managing and optimizing a file system on object storage.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

AWS Big Data

MARCH 30, 2023

By promoting loose coupling between components of a system, an event-driven architecture leads to greater agility and can enable components in the system to scale independently and fail without impacting other services. For big data processing, which requires distributed computing, you can use Spark on Amazon EKS.

Data-driven 69

Data-driven Metadata Testing Management 69

AWS Big Data

JULY 31, 2023

Set up the environment To get started, we set up the environment using AWS CloudFormation. An S3 bucket to store the output of the AWS Glue job runs. This will start the replication task to replicate the data from Aurora to the S3 bucket. Choose Launch Stack and open the page on a new tab: Choose Next.

Sales 52

Sales Data Warehouse Visualization Testing 52

AWS Big Data

APRIL 26, 2023

This is a guest blog post co-written with Corey Johnson from Huron. 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

NOVEMBER 7, 2023

Apache Ozone , a highly scalable, high performance distributed object store, provides the ideal solution to this requirement with its bucket layout flexibility and multi-protocol support. To start with, Ozone’s namespace includes the following conceptual entities: Fig.1 Keys store data inside buckets.

Unstructured Data 99

Unstructured Data Data Architecture Optimization Interactive 99

AWS Big Data

OCTOBER 27, 2023

This blog post explores the newly announced managed connector for Google BigQuery and demonstrates how to build a modern ETL pipeline with AWS Glue Studio without writing code. AWS Glue provides all the capabilities needed for data integration, so you can start analyzing your data and putting it to use in minutes instead of months.

Analytics 92

Analytics Visualization Data Integration Cost-Benefit 92

Cloudera

JULY 19, 2023

Introduction Ozone is an Apache Software Foundation project to build a distributed storage platform that caters to the demanding performance needs of analytical workloads, content distribution, and object storage use cases. The hardware specifications are included at the end of this blog.

Management 69

Management Metadata Metrics Optimization 69

AWS Big Data

SEPTEMBER 7, 2023

Customers of all sizes and industries use Amazon Simple Storage Service (Amazon S3) to store data globally for a variety of use cases. This blog post presents an architecture solution that allows customers to extract key insights from Amazon S3 access logs at scale.

Metadata 95

Metadata Dashboards Metrics Visualization 95

IBM Big Data Hub

MARCH 14, 2024

While these challenges are not new, they emphasize the need for a flexible, cloud-native infrastructure. Native integrations with IBM’s data fabric architecture on AWS establish a trusted data foundation, facilitating the acceleration and scaling of AI across the hybrid cloud. . 

Cost-Benefit 84

Cost-Benefit Metadata Optimization Management 84

AWS Big Data

SEPTEMBER 13, 2023

A modern data architecture is an evolutionary architecture pattern designed to integrate a data lake, data warehouse, and purpose-built stores with a unified governance model. In AWS ProServe-led customer engagements, the use cases we work on usually come with technical complexity and scalability requirements.

Data Lake 87

Data Lake Data Processing Metadata Snapshot 87

Ontotext

DECEMBER 9, 2020

Let the platform handle the boring grunt work so that you can get on with rocket science. If you are familiar with object-relational/ RDF ( ORM ) mapping, the idea of adding a layer between a database and the applications that use it should sound very familiar to you. Custom code also tends to over-fetch data that is not required.

Modeling 130

Modeling Management Optimization Metrics 130

AWS Big Data

MARCH 9, 2023

As part of data loading, the dimension tables, including SCD tables, get loaded first, followed by the fact tables. Organizations create data marts , which are subsets of the data warehouse and usually oriented for gaining analytical insights specific to a business unit or team.

Slice and Dice 78

Slice and Dice Data Warehouse Metrics Metadata 78

Cloudera

JUNE 9, 2022

In the first blog of the Universal Data Distribution blog series , we discussed the emerging need within enterprise organizations to take control of their data flows. In this second installment of the Universal Data Distribution blog series, we will discuss a few different data distribution use cases and deep dive into one of them. .

Data Collection 88

Data Collection IoT Data Lake Unstructured Data 88

AWS Big Data

MARCH 28, 2023

The key objective while handling Type 2 SCDs is to define the start and end dates to the dataset accurately to track the changes within the data lake, because this provides the point-in-time reporting capability for the consuming applications.

Data Lake 68

Data Lake Testing Snapshot Sales 68

IBM Big Data Hub

SEPTEMBER 19, 2022

While real-time data remains important, storing and analyzing the historical data also creates opportunities to improve processes, decision-making and outcomes. However, this separation also creates a data bottleneck — data can’t be analyzed without moving it from an operational data store to the warehouse. Is there a better way?

IoT 52

IoT Analytics Data Warehouse Manufacturing 52

IBM Big Data Hub

JANUARY 16, 2024

For most organizations, IT operations and modernization form a part of their ESG objective, and according to a recent Foundry survey , about 60% of organizations seek service providers specializing in green technology areas. Such an approach not only drives cost efficiencies but also contributes to broader corporate sustainability goals.

IT 95

IT Cost-Benefit Consulting Measurement 95

AWS Big Data

JULY 21, 2023

Lake Formation also provides tag-based access control (TBAC), which can be used to simplify and scale governance of data catalog objects such as databases and tables. Lake Formation also provides tag-based access control (TBAC), which can be used to simplify and scale governance of data catalog objects such as databases and tables.

Data Lake 82

Data Lake Data Warehouse Marketing Management 82

Sisense

MAY 8, 2020

This problem is expected to get worse before it gets better — according to the U.S. Live meetings help relationships not only start well, but to nurture and grow over time. Therefore, deliverables need to be made very clear, along with the time given to achieve each objective. 1: Communicate regularly.

Software 95

Software Statistics Data Quality Technology 95

AWS Big Data

MARCH 22, 2023

Amazon QuickSight is cloud-native, scalable business intelligence (BI) service that supports identity federation. Next, user information starts to get synchronized between Azure AD and IAM Identity Center via SCIM protocol. This allows system administrators to centrally manage user permissions from Azure AD.

Management 92

Management Metadata Enterprise Testing 92

Cloudera

OCTOBER 25, 2022

Isolate and harden your cloud data lakehouse platform starting with a unique cloud account. If you are planning to store any type of sensitive data in your cloud account and are not using a private link to the cloud, traffic control and visibility is critical. Cloud platform hardening. Host-based security.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

AWS Big Data

JUNE 21, 2023

Unfortunately, if you run that search on Amazon.com, you get items like fire pits, heating fans, and home decorations—not what you intended. As illustrated in the following diagram, the query workflow starts with a question that is encoded and used to retrieve relevant knowledge articles from the vector database.

Metrics 75

Metrics Measurement Modeling Dashboards 75

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. This post is co-written with Eliad Gat and Oded Lifshiz from Orca Security.

Data Lake 84

Data Lake Analytics Snapshot Optimization 84

DataRobot Blog

FEBRUARY 21, 2022

Open source notebooks exist because most data science languages are a mix of object-oriented code, complex libraries, and functional programming. Data analysts spent many hours converting assets into reports or refactoring them in more graphic native tools, such as Tableau. Open Source vs. Cloud-Integrated Solutions.

Data Science 52

Data Science Recreation/Entertainment Risk Visualization 52

Cloudera

MAY 16, 2018

They are creative in their thinking and collaborative in their efforts (including with parties who may not know they are complicit) to obtain their objectives and avoid getting caught. This post describes how native visual analytics on a Cloudera Enterprise Data Hub is the keystone that supports a holistic trade surveillance program.

Data Lake 41

Data Lake Risk Visualization Unstructured Data 41

Cloudera

DECEMBER 12, 2018

I would like to start off by asking you to tell us about your background and what kicked off your 20-year career in relational database technology? So, that sounds like a long pathway to get here. Certainly interesting to hear that your background started in the dotcom age as I actually worked at a dot com back in 2000.

Data Warehouse 41

Data Warehouse Marketing Big Data Data Lake 41

datapine

FEBRUARY 22, 2022

Whether you are starting from scratch, moving past spreadsheets, or looking to migrate to a new platform: you need a business intelligence strategy and roadmap in place. Whether you are starting from scratch, moving past spreadsheets, or looking to migrate to a new platform: you need a business intelligence strategy and roadmap in place.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

AWS Big Data

AUGUST 1, 2023

If you’re starting with a new Jira instance, it helps to have at least one project with a sampling of epics and issues for the initial data download, because it allows you to create an initial dataset without errors or missing fields. An AWS account and a login with access to the AWS Management Console.

Data Lake 81

Data Lake Data Transformation Cost-Benefit Data-driven 81

IBM Big Data Hub

AUGUST 3, 2023

In a recent trend, many organizations are opting to store their sensitive data in the cloud. Another challenge with data being rapidly moved to the cloud and stored across multiple environments means it is highly likely for enterprises to lose visibility of their sensitive data. What is data democratization?

Cost-Benefit 62

Cost-Benefit Risk Enterprise Reporting 62