IBM Big Data Hub

JULY 5, 2023

Data Lakes have been around for well over a decade now, supporting the analytic operations of some of the largest world corporations. Such data volumes are not easy to move, migrate or modernize. The challenges of a monolithic data lake architecture Data lakes are, at a high level, single repositories of data at scale.

Data Lake 60

Data Lake Metadata Cost-Benefit Data Warehouse 60

Alation

FEBRUARY 20, 2020

When it was no longer a hard requirement that a physical data model be created upon the ingestion of data, there was a resulting drop in richness of the description and consistency of the data stored in Hadoop. You did not have to understand or prepare the data to get it into Hadoop, so people rarely did.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Data Modeling.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

datapine

APRIL 15, 2020

That said, in this article, we will go through both agile analytics and BI starting from basic definitions, and continuing with methodologies, tips, and tricks to help you implement these processes and give you a clear overview of how to use them. In our opinion, both terms, agile BI and agile analytics, are interchangeable and mean the same.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

AWS Big Data

NOVEMBER 20, 2023

Use case A typical workload for AWS Glue for Apache Spark jobs is to load data from a relational database to a data lake with SQL-based transformations. The following is a visual representation of an example job where the number of workers is 10. On the Graphed metrics tab, configure your preferred statistic, period, and so on.

Metrics 126

Metrics Data Lake Cost-Benefit Dashboards 126

AWS Big Data

AUGUST 16, 2023

Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. They store their product data in Iceberg format on Amazon S3 and host the metadata of their datasets in Hive Metastore on the EMR primary node. Choose Create.

Data Lake 98

Data Lake Metadata Snapshot Analytics 98

AWS Big Data

DECEMBER 21, 2023

To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption.

Data Lake 114

Data Lake Data Warehouse Data-driven B2B 114

Sisense

JULY 22, 2020

As access to and use of data has now expanded to business team members and others, it’s more important than ever that everyone can appreciate what happens to data as it goes through the BI and analytics process. Your definitive guide to data and analytics processes. Data modeling: Create relationships between data.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

AWS Big Data

DECEMBER 5, 2023

To fill in the gaps in existing data, HR&A creates digital equity surveys to build a more complete picture before developing digital equity plans. HR&A has used Amazon Redshift Serverless and CARTO to process survey findings more efficiently and create custom interactive dashboards to facilitate understanding of the results.

Measurement 105

Measurement Dashboards Data Warehouse Analytics 105

Cloudera

APRIL 29, 2021

Import flow definition : by dragging and dropping a process group on the canvas, you can now easily import a flow definition that you exported in another environment. Cloudera commits to provide you with the best options to move data from any system to any other system.

Metrics 77

Metrics Data Lake Dashboards Reporting 77

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

JUNE 21, 2023

When setting out to build a data warehouse, it’s a common pattern to have a data lake as the source of the data warehouse. The data lake in this context serves a number of important functions: It acts as a central source for multiple applications, not just exclusively for data warehousing purposes.

Data Warehouse 105

Data Warehouse Data Lake OLAP Cost-Benefit 105

IBM Big Data Hub

OCTOBER 4, 2023

A data lakehouse architecture combines the performance of data warehouses with the flexibility of data lakes, to address the challenges of today’s complex data landscape and scale AI. New insights and relationships are found in this combination. All of this supports the use of AI.

Data Lake 77

Data Lake Metadata Data Warehouse Cost-Benefit 77

Cloudera

NOVEMBER 18, 2020

OVO UnCover enables access to real-time customer data using advanced, intelligent data analytics and machine learning to personalize the customer product interaction experience. This enabled Merck KGaA to control and maintain secure data access, and greatly increase business agility for multiple users.

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. You can then augment recommendations with out-of-the-box data quality rules.

Data Quality 98

Data Quality Statistics Data Lake Visualization 98

AWS Big Data

MARCH 27, 2023

In this workflow, data is written to Amazon S3 through the Confluent S3 sink connector and then analyzed with Athena, a serverless interactive analytics service that enables you to analyze and query data stored in Amazon S3 and various other data sources using standard SQL. Choose Create data source. Choose Next.

Visualization 98

Visualization Data Lake Interactive Data-driven 98

Darkhorse

JULY 6, 2017

So what is data wrangling? Let’s imagine the process of building a data lake. First off, data wrangling is gathering the appropriate data. Sometimes, you need to re-categorize the past to match up to the current category definitions. You’ve got yourself a little data lake, but its waters are brackish.

Data Lake 74

Data Lake Sales Machine Learning Visualization 74

AWS Big Data

JUNE 6, 2023

On the Crawlers page, select data-quality-result-crawler and choose Run. When the crawler is complete, you can see the AWS Glue Data Catalog table definition. After you create the table definition on the AWS Glue Data Catalog, you can use Athena to query the Data Catalog table.

Data Quality 97

Data Quality Metrics Visualization Dashboards 97

Sisense

DECEMBER 11, 2019

With Itzik’s wisdom fresh in everyone’s minds, Scott Castle, Sisense General Manager, Data Business, shared his view on the role of modern data teams. Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data. Omid Vahdaty, CTO of Jutomate Ltd.,

Data Lake 80

Data Lake Big Data Sales Data-driven 80

erwin

AUGUST 31, 2023

The Structured Query Language (SQL) becomes the standardized language for interacting with relational databases. The Entity-Relationship (ER) model gains prominence as a tool for conceptual data modeling, helping to bridge the gap between business requirements and database design.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. A data fabric is comprised of a network of data nodes (e.g.,

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

AWS Big Data

APRIL 19, 2023

To configure AWS CLI interaction with AWS, refer to Quick setup. He is passionate about big data and data analytics. Sandeep Singh is a Lead Consultant at AWS ProServe, focused on analytics, data lake architecture, and implementation. Amol Guldagad is a Data Analytics Consultant based in India.

Metadata 98

Metadata Data Lake Testing Consulting 98

Cloudera

JUNE 24, 2021

From the Cloudera Management Console, click Data Hub Clusters. Click Create Data Hub. In the Selected Environment with running Data Lake drop-down list, select the same environment used by your COD instance. Select the Cluster Definition. For example, select the 7.2.10 COD Edge Node for AWS cluster template.

Data Lake 55

Data Lake Interactive Management IT 55

AWS Big Data

FEBRUARY 21, 2023

Any change to the dimension definition results in a lengthy and time-consuming reprocessing of the dimension data, which often results in data redundancy. Another issue is that, when relying merely on dimensional modeling, analysts can’t assure the consistency and accuracy of data sources.

Data Warehouse 93

Data Warehouse Data Lake Cost-Benefit Metadata 93

AWS Big Data

FEBRUARY 16, 2023

Prerequisites Before setting up the CloudFormation stacks, you must have an AWS account and an AWS Identity and Access Management (IAM) user with sufficient permissions to interact with the AWS Management Console and the services listed in the architecture. About the author Sandeep Bajwa is a Sr.

Data Warehouse 98

Data Warehouse Sales Visualization Data Processing 98

CIO Business Intelligence

MARCH 14, 2024

Today, I can provide managers in finance, sales, operations, all the way up to the CEO, with interactive dashboards, intuitive charts, and technical indicators that can be read by non-IT people to describe the health of the systems,” says Deligia. Flexible, automated IT also provides an added benefit in connecting technology and business.

Digital Transformation 92

Digital Transformation Sales Forecasting Data Lake 92

AWS Big Data

MARCH 29, 2024

The loose coupling between event publishers and subscribers empowered teams to focus on distinct domains, such as data ingestion, identification services, and data lakes. With Kafka ACLs, we enforced strict access controls, allowing consumers and producers to only interact with authorized topics.

Data-driven 110

Data-driven Cost-Benefit Metrics Management 110

AWS Big Data

JUNE 29, 2023

Solution overview For our use case, we use several AWS services to stream, ingest, transform, and analyze sample automotive sensor data in real time using Kinesis Data Analytics Studio. Kinesis Data Analytics Studio allows us to create a notebook, which is a web-based development environment.

Data Analytics 103

Data Analytics Analytics IoT Data Lake 103

AWS Big Data

JUNE 12, 2023

This job extracts data from the Kafka topics, deserializes it using the schema information from the Data Catalog table, and loads it into Amazon S3. It’s important to note that the schema in the Data Catalog table serves as the source of truth for the AWS Glue streaming job.

Management 98

Management Metadata Internet of Things Testing 98

AWS Big Data

JUNE 6, 2023

The preceding SparkApplication definition has the event log enabled and stores the events in an S3 bucket with the following path: s3://YOUR-S3-BUCKET/. buffer.dir=/mnt/s3 --conf spark.hadoop.fs.s3n.impl=com.amazon.ws.emr.hadoop.fs.EmrFileSystem --deploy-mode cluster s3://aws-data-lake-workshop/spark-eks/spark-eks-assembly-3.3.0.jar

Optimization 97

Optimization Data Lake Cost-Benefit Management 97

AWS Big Data

JULY 25, 2024

With AWS Glue, you can discover and connect to hundreds of different data sources and manage your data in a centralized data catalog. You can visually create, run, and monitor ETL pipelines to load data into your data lakes. Complete the following scripts to create the DAG: Create a local file named emr_dag.py

Visualization 115

Visualization Management Data Integration Testing 115

AWS Big Data

SEPTEMBER 4, 2024

DSF provides convenient methods for the end-to-end flow for both data producer and consumer. Solution overview The solution demonstrates a common pattern where a data warehouse is used as a serving layer for business intelligence (BI) workloads on top of data lake data. No schema is needed.

Management 68

Management Data Warehouse Data Lake Testing 68

Domino Data Lab

APRIL 3, 2019

Look toward the evolving changes in system architecture to understand where data governance will be heading. Definition and Descriptions. We’ll start with standard definitions – the currently accepted wisdom in the industry. That definition plus the one-liner provide good starting points. In other words, #adulting.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

Andrew White

OCTOBER 25, 2019

The definitive three rings. I concluded I could finally produce a toolkit with our definitive three rings advice; including the advanced stuff mentioned above. Here is my final analysis of my 1-1s and interactions this week: Topic: Data Governance 28. Vision/Data Driven/Outcomes 28. Data lake 4.

Recreation/Entertainment 40

Recreation/Entertainment IT Data Lake Data-driven 40

erwin

JUNE 7, 2022

The first and most important thing to recognize and understand is the new and radically different target environment that you are now designing a data model for. Star schema: a data modeling and database design paradigm for data warehouses and data lakes. Are you ready to try out the newest erwin Data Modeler?

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

Peter James Thomas

AUGUST 12, 2018

Let’s start however with some definitions. A number of factors can play into the accuracy of data capture. Some systems (even in 2018) can still make it harder to capture good data than to ram in bad. Here I will look to cover some of the obstacles and suggest a potential way to navigate round them. Oxford Dictionaries ).

Statistics 49

Statistics Metrics Data Quality Measurement 49

Alation

APRIL 14, 2022

A useful feature for exposing patterns in the data. Supports the ability to interact with the actual data and perform analysis on it. For example, data science always consumes “historical” data, and there is no guarantee that the semantics of older datasets are the same, even if their names are unchanged.

Metadata 59

Metadata Data Governance Data-driven Modeling 59