AWS Big Data

AUGUST 3, 2023

Data analytics on operational data at near-real time is becoming a common need. Due to the exponential growth of data volume, it has become common practice to replace read replicas with data lakes to have better scalability and performance. For more information, see Changing the default settings for your data lake.

Data Lake 87

Data Lake Visualization Dashboards Insurance 87

AWS Big Data

DECEMBER 16, 2024

On your project, in the navigation pane, choose Data. For Add data source , choose Add connection. For Host , enter your host name of your Aurora PostgreSQL database cluster. format(connection_properties["HOST"],connection_properties["PORT"],connection_properties["DATABASE"]) df.write.format("jdbc").option("url",

Visualization 71

Visualization Data Processing Testing Publishing 71

Smart Data Collective

FEBRUARY 20, 2022

Data storage databases. Your SaaS company can store and protect any amount of data using Amazon Simple Storage Service (S3), which is ideal for data lakes, cloud-native applications, and mobile apps. This blog post has demonstrated how AWS can greatly benefit your SaaS company, on multiple levels. Easy to use.

Cost-Benefit 138

Cost-Benefit Data Lake Software Machine Learning 138

AWS Big Data

AUGUST 19, 2024

This involves creating VPC endpoints in both the AWS and Snowflake VPCs, making sure data transfer remains within the AWS network. Use Amazon Route 53 to create a private hosted zone that resolves the Snowflake endpoint within your VPC. Open the secret blog-glue-snowflake-credentials. Choose Edit. Choose Next.

Analytics 107

Analytics Data-driven Data Integration Data Lake 107

datapine

APRIL 15, 2020

You need to determine if you are going with an on-premise or cloud-hosted strategy. For example, you can collect the amount of business information fed into a data lake weekly, therefore, have the advantage to react immediately if issues arise. Then, you need to choose AND set-up the right BI solution for your organization!

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

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. Additional Aspects of a Private CDW Environment on Azure. Next Steps.

Data Lake 123

Data Lake Data Warehouse Data Processing Interactive 123

Cloudera

JUNE 25, 2021

This blog post outlines detailed step by step instructions to perform Hive Replication from an on-prem CDH cluster to a CDP Public Cloud Data Lake. CDP Data Lake cluster versions – CM 7.4.0, Pre-Check: Data Lake Cluster. Understanding Ranger Policies in Data Lake Cluster.

Data Lake 73

Data Lake Metadata Unstructured Data Management 73

Cloudera

NOVEMBER 17, 2022

The Solution: CDP Private Cloud brings a next-generation hybrid architecture with cloud-native benefits to HBL’s data platform. HBL started their data journey in 2019 when data lake initiative was started to consolidate complex data sources and enable the bank to use single version of truth for decision making.

Management 85

Management Data Lake Consulting Unstructured Data 85

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery.

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

AWS Big Data

NOVEMBER 22, 2023

Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams. The queries on these large datasets read vast amounts of data and can perform complex join operations on multiple datasets.

Statistics 113

Statistics Data Lake Optimization Data-driven 113

AWS Big Data

AUGUST 13, 2024

With AWS Glue, you can discover and connect to hundreds of diverse data sources and manage your data in a centralized data catalog. It enables you to visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes. Choose Store a new secret.

Data Processing 98

Data Processing Visualization Data Lake Data Processing 98

Cloudera

MAY 23, 2024

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. This makes gathering information for decision making a challenge.

Management 80

Management Metrics Data Processing Data Lake 80

IBM Big Data Hub

MAY 9, 2023

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. models are trained on IBM’s curated, enterprise-focused data lake, on our custom-designed cloud-native AI supercomputer, Vela. All watsonx.ai

Enterprise 128

Enterprise Technology Modeling Cost-Benefit 128

Cloudera

JANUARY 21, 2021

Cloudera’s Data Warehouse service allows raw data to be stored in the cloud storage of your choice (S3, ADLSg2). It will be stored in your own namespace, and not force you to move data into someone else’s proprietary file formats or hosted storage. Proprietary file formats mean no one else is invited in! Separate compute.

Data Warehouse 94

Data Warehouse Data Lake IT Analytics 94

IBM Big Data Hub

JUNE 15, 2023

It is comprised of commodity cloud object storage, open data and open table formats, and high-performance open-source query engines. To help organizations scale AI workloads, we recently announced IBM watsonx.data , a data store built on an open data lakehouse architecture and part of the watsonx AI and data platform.

Data Warehouse 86

Data Warehouse Data Lake Optimization Data-driven 86

Cloudera

DECEMBER 13, 2022

The attack targeted a host of public and private sector organizations (18,000 customers) including NASA, the Justice Department, and Homeland Security, and it is believed the attackers persisted on SolarWinds systems for 14 months prior to discovery. All with the integrated security and governance technologies required for compliance.

Machine Learning 78

Machine Learning Experimentation Data Lake Data Processing 78

Cloudera

NOVEMBER 22, 2021

In addition, data pipelines include more and more stages, thus making it difficult for data engineers to compile, manage, and troubleshoot those analytical workloads. Those incremental costs derive from a variety of reasons: Increased data processing costs associated with legacy deployment types (e.g., CRM platforms).

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

IBM Big Data Hub

MAY 19, 2023

Furthermore, TDC Digital had not used any cloud storage solution and experienced latency and downtime while hosting the application in its data center. TDC Digital is excited about its plans to host its IT infrastructure in IBM data centers, offering better scalability, performance and security.

Unstructured Data 74

Unstructured Data Data Processing Manufacturing Data Lake 74

AWS Big Data

JULY 30, 2024

Two private subnets are used to set up the Amazon MWAA environment, and the third private subnet is used to host the AWS Lambda authorizer function. For Bucket name , enter a name for your bucket (for this post, mwaa-sso-blog- ). For Stack name , enter a name (for example, sso-blog-mwaa-infra-stack). Choose Create bucket.

Metadata 109

Metadata Enterprise Data Lake Management 109

Sisense

DECEMBER 11, 2019

With data growing at a staggering rate, managing and structuring it is vital to your survival. In this piece, we detail the Israeli debut of Periscope Data. Driving startup growth with the power of data. It’s why Sisense, having merged with Periscope Data in May 2019, chose to host this event in Tel Aviv.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Cloudera

FEBRUARY 13, 2024

Introduction In the previous blog post we covered the high availability feature of Cloudera Operational Database (COD) in Amazon AWS. We will not repeat ourselves, so it’s assumed that technologies and concepts like HA, Multi-AZ, and operational databases are already known to the reader through the previous blog post.

Data Lake 52

Data Lake Testing Data Processing Enterprise 52

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. The post How Cloudera Data Flow Enables Successful Data Mesh Architectures appeared first on Cloudera Blog.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

JUNE 6, 2023

It supports both data quality at rest and data quality in AWS Glue extract, transform, and load (ETL) pipelines. Data quality at rest focuses on validating the data stored in data lakes, databases, or data warehouses. It ensures that the data meets specific quality standards before it is consumed.

Data Quality 75

Data Quality Data Lake Visualization Data-driven 75

AWS Big Data

AUGUST 27, 2024

It takes in three arguments: – The Amazon S3 location of the data file that is read in by the Spark job. The input_full_path is s3://aws-blogs-artifacts-public/artifacts/BDB-2997/sample-data/input/part-00000-a0885743-e0cb-48b1-bc2b-05eb748ab898-c000.snappy.parquet He is in data and analytical field for over 14 years.

Metrics 88

Metrics Dashboards Data Lake Optimization 88

Paul Blogs on BI

SEPTEMBER 8, 2021

Well firstly, if the main data warehouses, repositories, or application databases that BusinessObjects accesses are on premise, it makes no sense to move BusinessObjects to the cloud until you move its data sources to the cloud. You also have the option of hosting with a third party.

Data Warehouse 59

Data Warehouse Data Processing Data Lake Testing 59

erwin

APRIL 2, 2021

And knowing the business purpose translates into actively governing personal data against potential privacy and security violations. Do You Know Where Your Sensitive Data Is? Data is a valuable asset used to operate, manage and grow a business.

Data Governance 106

Data Governance Cost-Benefit Metadata Risk 106

Cloudera

JUNE 5, 2023

On May 3, 2023, Cloudera kicked off a contest called “Best in Flow” for NiFi developers to compete to build the best data pipelines. This blog is to congratulate our winner and review the top submissions. RK built some simple flows to pull streaming data into Google Cloud Storage and Snowflake.

Testing 77

Testing Data Lake Data Processing IT 77

Cloudera

SEPTEMBER 2, 2020

Additionally, lines of business (LOBs) are able to gain access to a shared data lake that is secured and governed by the use of Cloudera Shared Data Experience (SDX). According to 451 Research’s Voice of the Enterprise: Cloud, Hosting & Managed Services study, 58% of Enterprises are moving towards a hybrid IT environment.

Cost-Benefit 69

Cost-Benefit Data Warehouse Data Lake Machine Learning 69

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. You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. For Type , choose Spark.

Data Lake 90

Data Lake Dashboards Metrics Metadata 90

Cloudera

SEPTEMBER 6, 2022

Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . More global telco companies like LG Uplus , Deutsche Telekom , and Vodafone Automotive continue to build their data futures on Cloudera. Read their stories and more on cloudera.com/telco. .

Data Architecture 84

Data Architecture Cost-Benefit Digital Transformation Business Driver 84

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants. Cloudera Manager (CM) 6.2

Metadata 86

Metadata Data Lake Optimization Strategy 86

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. Show us what is possible! .

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

Cloudera

OCTOBER 25, 2022

The data lakehouse is gaining in popularity because it enables a single platform for all your enterprise data with the flexibility to run any analytic and machine learning (ML) use case. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

AWS Big Data

JUNE 7, 2023

This is a guest blog post co-written with Sumesh M R from Cargotec and Tero Karttunen from Knowit Finland. Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. The source code for the application is hosted the AWS Glue GitHub.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. First, data isn’t created in a uniform, consistent format.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

SEPTEMBER 22, 2023

At Stitch Fix, we have been powered by data science since its foundation and rely on many modern data lake and data processing technologies. In our infrastructure, Apache Kafka has emerged as a powerful tool for managing event streams and facilitating real-time data processing.

Management 115

Management Metrics Cost-Benefit Data Lake 115

Alation

FEBRUARY 20, 2020

Data lakes, while useful in helping you to capture all of your data, are only the first step in extracting the value of that data. Watch the complete video interview below: Subscribe to Alation's Blog. Get the latest data cataloging news and trends in your inbox.

Data Lake 40

Data Lake Data Processing Data Quality Visualization 40