Cloudera

JULY 14, 2023

Some of the common issues include constrained schema evolution, static partitioning of data, and long planning time because of S3 directory listings. All you have to do is to alter the table properties to set the storage handler to “HiveIcebergStorageHandler.” You can change the data format say from “orc” to “parquet.’’

Backup 70

Backup Data Engineering Engineering Data 70

Cloudera

JUNE 18, 2022

Delta lake had a Spark-heavy evolution; customer options dwindle rapidly if they need freedom to choose a different engine than what is primary to the table format. . More formats, more engines, more interoperability. Today, the Hive metastore is used from multiple engines and with multiple storage options.

Data 94

Data Analytics Open Source Architecture 94

Altexsoft

MARCH 14, 2023

The image above shows modern data stacks’ modularity with the possibility of choosing between different instruments. Let’s say a travel company wants to improve its customer experience by offering personalized travel recommendations. This means that companies don’t necessarily need a large data engineering team.

Data 59

Data Technical Review Software Review Artificial Inteligence 59

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. Iceberg doesn’t delete the old data files.

Strategy 59

Strategy Travel Groups Data 59

Altexsoft

MARCH 16, 2021

In general, a data infrastructure is a system of hardware and software tools used to collect, store, transfer, prepare, analyze, and visualize data. Check our article on data engineering to get a detailed understanding of the data pipeline and its components. Big data infrastructure in a nutshell.

Big Data 116

Big Data Healthcare Applications Data 116

Altexsoft

DECEMBER 9, 2020

Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software. At this stage, data is siloed, not accessible for most employees, and decisions are mostly not data-driven.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

AUGUST 21, 2019

Data obsession is all the rage today, as all businesses struggle to get data. But, unlike oil, data itself costs nothing, unless you can make sense of it. Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data.

Development 44

Development Software Engineering Data Engineering Architecture 44

Cloudera

DECEMBER 20, 2022

Today, the costs of sensors, data capture, and information storage have significantly decreased and are one tenth of what they were 10 years ago, leading to the proliferation of data that enables advanced analytics-driving efficiencies. Explore operational efficiencies with our Federated Learning Machine Learning Prototype.

Energy 81

Energy Analytics Data Machine Learning 81

Altexsoft

JUNE 26, 2023

Both data integration and ingestion require building data pipelines — series of automated operations to move data from one system to another. For this task, you need a dedicated specialist — a data engineer or ETL developer. Data engineering explained in 14 minutes. Find sources of relevant data.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Existek

JANUARY 11, 2022

Travel and hospitality – Airbnb, Macdonalds. In 2010, they launched Windows Azure, the PaaS, positioning it as an alternative to Google App Engine and Amazon EC2. They provided a few services like computing, Azure Bob storage, SQL Azure, and Azure Service Bus. Media and Entertainment – Netflix, Fox. Governments.

Azure 52

Azure AWS Cloud How To 52

Altexsoft

SEPTEMBER 9, 2022

Metadata management is a set of activities, technologies, and policies that target metadata collection, storage, and organizing. It aims at making data assets understandable and discoverable for users. Metadata storage usually implies developing a specialized repository. Metadata storage. What is metadata management?

Tools 59

Tools Technical Review Software Review Systems Review 59

Altexsoft

OCTOBER 29, 2020

How do you trust data with any transformative decisions when there’s a chance that some of it has been lost, or incomplete, or is simply irrelevant to your business case? What is Data Engineering: Explaining the Data Pipeline, Data Warehouse, and Data Engineer Role.

Testing 63

Testing Tools Software Review Technical Review 63

AWS Machine Learning - AI

JANUARY 26, 2024

Next, make sure that all data at rest is encrypted with AWS KMS, including considering the use of CMKs, and all data and models are versioned and backed up using Amazon Simple Storage Service (Amazon S3) versioning and applying object-level immutability with Amazon S3 Object Lock.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. Following this logic, any other writer with a short and memorable name — say, Gogol, Orwell, or Tolkien — could have become a symbol of endless data streams. How Apache Kafka streams relate to Franz Kafka’s books.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Kentik

MAY 23, 2016

Without these interconnections there would be no path for data originating in one network to travel to a destination in another network. Until recently, however, traffic analysis solutions were severely limited in compute and storage capacity. Only a big data solution can handle the required data at the required scale.

Big Data 40

Big Data Analytics Internet Network 40

Cloudera

MARCH 23, 2022

Please join us on March 24 for Future of Data meetup where we do a deep dive into Iceberg with CDP . Apache Iceberg is a high-performance, open table format, born-in-the cloud that scales to petabytes independent of the underlying storage layer and the access engine layer. What is Apache Iceberg? 1: Multi-function analytics .

Data 92

Data Open Source Storage Machine Learning 92

Cloudera

FEBRUARY 22, 2022

Today, we are announcing a private technical preview (TP) release of Iceberg for CDP Data Services in the public cloud, including Cloudera Data Warehousing ( CDW ) and Cloudera Data Engineering ( CDE ). . Apache Iceberg is a new open table format targeted for petabyte-scale analytic datasets. Multi-function analytics .

Data 110

Data Analytics Disaster Recovery Travel 110

Altexsoft

NOVEMBER 9, 2021

Digitization has already greatly improved this business aspect, facilitating contract creation and editing, introducing e-signatures, increasing security, tracking expiration dates, and enabling convenient search and storage functionalities. Meanwhile, we’ll describe the process of turning raw data around you into actionable insights.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

OCTOBER 3, 2019

The findings showed that these variables weren’t connected to the number of working hours, travel, or compensation. A provider maintains the platform and handles the storage of your data. Data engineer builds interfaces and infrastructure to enable access to data. So, data engineers make data pipelines work.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

NOVEMBER 22, 2019

There are several pillar data sets you have to consider in the first place. Important hotel data sets and overlaps between them. Booking and property data. The main storage of hotel booking information is your property management system (PMS). metasearch engines. Housekeeping data. Public reputation data.

Hotels 18

Hotels Data Technical Review Systems Review 18

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Read why the future of data lakehouses is open.

Data 88

Data Analytics Machine Learning Artificial Inteligence 88

Altexsoft

JUNE 6, 2019

Let’s travel overseas and check out how Chinese tech giants have been developing in the same field. Building a data-driven organization. Retailers often have a significant amount of transaction and financial data that needs to be archived and utilized for both compliance and analytics purposes.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

Cloudera

DECEMBER 12, 2018

I then ended up working for a travel company and did database administration there. After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer. There are key-value stores, and many other data storage layers to consider.

Data 42

Data Marketing Storage Big Data 42