Cloudera

MARCH 22, 2023

While a business analyst may wonder why the values in their customer satisfaction dashboard have not changed since yesterday, a DBA may want to know why one of today’s queries took so long, and a system administrator needs to find out why data storage is skewed to a few nodes in the cluster.

Data Governance 87

Data Governance Government Business Analyst Metadata 87

Big Data Tools

SEPTEMBER 6, 2021

There are also several changes in KRaft (namely Revise KRaft Metadata Records and Producer ID generation in KRaft mode ), along with many other changes. Unfortunately, the feature that was most awaited (at least by me) – tiered storage – has been postponed for a subsequent release. Support for Scala 2.12 And more files means more time.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Knowledge Hut

MAY 9, 2024

From Silicon Valley to Wall Street, from healthcare to e-commerce, data scientists are highly valued and well-compensated in various industries and sectors. According to Glassdoor, the average annual pay of a data scientist is USD 126,683. What is Data Science? They manage data storage and the ETL process.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Engineering at Meta

OCTOBER 31, 2023

Each represents a class of data — not individual records. SCARF coordinates several kinds of tasks for each data system: metadata collection (e.g., data quantity, field types), usage collection, analysis, and actions. After a configured time, SCARF blocks all reads and writes via a data system specific mechanism.

Data 93

Data Metadata Coding Relational Database 93

Monte Carlo

FEBRUARY 9, 2023

In fact, with increasingly strict data regulations like GDPR and a renewed emphasis on optimizing technology costs, we’re now seeing a revitalization of “ Data Vault 2.0 ” data modeling. While data vault has many benefits, it is a sophisticated and complex methodology that can present challenges to data quality.

Architecture 52

Architecture Raw Data Metadata Data Warehouse 52

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98

AWS Scala Metadata Data Lake 98

Pinterest Engineering

NOVEMBER 22, 2023

In the first blog, we will share a short summary on the GokuS and GokuL architecture, data format for Goku Long Term, and how we improved the bootstrap time for our storage and serving components. Goku Long Term Storage Architecture Summary and Challenges Figure 9: Flow of data from GokuS to GokuL.

Database 95

Database Bytes Kafka Architecture 95

Cloudera

NOVEMBER 23, 2021

Security and governance policies are set once and applied across all data and workloads. Atlas provides open metadata management and governance capabilities to build a catalog of all assets, and also classify and govern these assets. Build and run the applications. Apache HBase.

Database 89

Database Non-relational Database NoSQL Government 89

Scott Logic

APRIL 10, 2024

This blog post serves as a dev diary of the process, covering our challenges, contributions made and attempts to validate them. There was some low-level CPU activity, which can increase when data is being read or written, there was memory used to cache data that may be read again soon and there is the data storage itself.

Cloud Storage 52

Cloud Storage Cloud AWS Metadata 52

Cloudera

OCTOBER 15, 2021

With FSO, Apache Ozone guarantees atomic directory operations, and renaming or deleting a directory is a simple metadata operation even if the directory has a large set of sub-paths (directories/files) within it. In fact, this gives Apache Ozone a significant performance advantage over other object stores in the data analytics ecosystem.

Cloud 87

Cloud Hadoop Data Analytics Metadata 87

Big Data Tools

SEPTEMBER 6, 2021

There are also several changes in KRaft (namely Revise KRaft Metadata Records and Producer ID generation in KRaft mode ), along with many other changes. Unfortunately, the feature that was most awaited (at least by me) – tiered storage – has been postponed for a subsequent release. Support for Scala 2.12 And more files means more time.

Data Engineering 40

Data Engineering Data Engineer Engineering Big Data Tools 40

LinkedIn Engineering

JULY 27, 2023

Costwiz provides a unified experience that helps leaders drive more accurate forecasting of Azure budgets at LinkedIn with resource ownership detection, accountability, expedited remedies, and holistic data visibility (via custom dashboards). ETL processes must determine where to pick up the next batch of data.

Metadata 75

Metadata Utilities Cloud Data Lake 75

Cloudera

AUGUST 31, 2021

While this “data tsunami” may pose a new set of challenges, it also opens up opportunities for a wide variety of high value business intelligence (BI) and other analytics use cases that most companies are eager to deploy. . Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis.

Data Warehouse 82

Data Warehouse Database-centric Metadata Cloud 82

Rockset

JUNE 6, 2023

Real-time systems such as Elasticsearch were designed to work off of directly attached storage to allow for fast access in the face of real-time updates. In this blog, we’ll walk through how Rockset provides compute-storage separation while making real-time data available to queries.

Metadata 52

Metadata Datasets Architecture Algorithm 52

Cloudera

JANUARY 21, 2021

With CDW, as an integrated service of CDP, your line of business gets immediate resources needed for faster application launches and expedited data access, all while protecting the company’s multi-year investment in centralized data management, security, and governance.

IT 93

IT Data Lake Data Warehouse Cloud Storage 93

ProjectPro

NOVEMBER 15, 2021

Table of Contents 20 Open Source Big Data Projects To Contribute How to Contribute to Open Source Big Data Projects? 20 Open Source Big Data Projects To Contribute There are thousands of open-source projects in action today. This blog will walk through the most popular and fascinating open source big data projects.

Big Data 52

Big Data Project Metadata Programming Language 52

Netflix Tech

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. We could also get contextual information about the streaming session by joining relevant traces with account metadata and service logs. Onboarding new user experiences on Edgar could require us to store 10x the amount of current data volume.

Building 93

Building Transportation Metadata Java 93

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop AWS Relational Database 52

Netflix Tech

DECEMBER 14, 2018

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve.

Media 94

Media Database Metadata Data Schemas 94

Databand.ai

JUNE 28, 2023

Data processing : As data moves through various stages of processing, observability tools can monitor the operation of each stage. This includes watching for failures, measuring latency, tracking resource usage, and ensuring data is being transformed correctly. is a unified data observability platform built for data engineers.

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 98

Snowflake

MAY 22, 2023

Cross-Cloud Snowgrid Account Replication expands replication beyond databases – general availability Account Replication, now generally available, expands replication beyond databases to account metadata and integrations, making business continuity truly turnkey. Read our announcement blog post for more.

Healthcare 52

Healthcare Scala Medical Transportation 52

Snowflake

MARCH 30, 2023

Data Vault as a practice does not stipulate how you transform your data, only that you follow the same standards to populate business vault link and satellite tables as you would to populate raw vault link and satellite tables. Based on Tecton blog So is this similar to data engineering pipelines into a data lake/warehouse?

Engineering 83

Engineering Raw Data Data Science Scala 83

ProjectPro

JANUARY 31, 2022

Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse?

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

RandomTrees

SEPTEMBER 6, 2020

The architecture is three layered: Database Storage: Snowflake has a mechanism to reorganize the data into its internal optimized, compressed and columnar format and stores this optimized data in cloud storage. The data objects are accessible only through SQL query operations run using Snowflake.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Knowledge Hut

SEPTEMBER 29, 2023

Moreover, what benefits can you expect from a career in Azure Data Engineering? This blog aims to answer these questions, providing a straightforward and professional insight into the world of Azure Data Engineering. Join us on this journey through the exciting realm of Azure Data Engineering.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

NOVEMBER 13, 2017

An advantageous side benefit of a unified approach is lower total cost of ownership, stemming from eliminating redundant data storage, leveraging transient compute, and simplifying management overhead. The ability to discover and define metadata definitions for the business is a critical enabler for self-service functions.

Cloud 40

Cloud Big Data Metadata Machine Learning 40

Monte Carlo

APRIL 20, 2023

I can surface ownership metadata and alert the relevant owners to make sure the appropriate changes are made so these breakages never happen. This is where data lineage can help you scope and plan your migration waves. Data lineage can also help if you are specifically looking to migrate to Snowflake like a boss.

Data Warehouse 52

Data Warehouse BI Data Government 52

Cloudera

JANUARY 22, 2019

Easily onboard new Big Data systems and retire legacy systems, while keeping business systems running continuously without disruption. What Use Cases does Big Data Fabric support? Big Data Fabric supports a variety of use cases ranging from real-time insights and machine learning to streaming and advanced analytics.

Big Data 44

Big Data NoSQL Data Lake Hadoop 44

ProjectPro

NOVEMBER 22, 2021

StructType is a collection of StructField objects that determines column name, column data type, field nullability, and metadata. To define the columns, PySpark offers the pyspark.sql.types import StructField class, which has the column name (String), column type (DataType), nullable column (Boolean), and metadata (MetaData).

Hadoop 52

Hadoop Python Datasets Metadata 52

Knowledge Hut

JULY 26, 2023

They enable organizations to use data as an asset, resulting in greater operational efficiency, improved decision-making, and an edge over competitors in today's data-driven corporate world. Database applications also help in data-driven decision-making by providing data analysis and reporting tools.

Database 52

Database NoSQL Telecommunication MongoDB 52

ProjectPro

NOVEMBER 7, 2016

This blog will give you an indepth insight into the architecture of hadoop and its major components- HDFS, YARN, and MapReduce. We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing. It has a complete snapshot of the file systems metadata at any time.

Hadoop 40

Hadoop Architecture IT Big Data 40

ProjectPro

MAY 30, 2016

It stores the application data and file system metadata separately. Application data is stored on severs known as DataNodes and file system metadata is stored on dedicated servers called NameNodes. HDFS uses a master slave architecture.

Hadoop 40

Hadoop Metadata Big Data Portfolio 40

DataKitchen

JANUARY 23, 2023

Data lineage is what’s in your database – which is not everything. Data lineage primarily focuses on tracking the movement and transformation of data within the database or data storage systems. Data lineage is static and often lags by weeks or months. DataOps Observability handles that.

Data Governance 52

Data Governance Government Data Pipeline Data 52

Rockset

DECEMBER 22, 2020

We will also need to store this data in Elasticsearch. There are many blog posts detailing how to build an Express API, I’ll concentrate on what is required on top of this to make calls to Elasticsearch. To do this we will be using NodeJS to build a simple Express API. then((results) => { res.send(results.hits.hits); }).catch((err)

SQL 40

SQL Data MongoDB Aggregated Data 40

ProjectPro

MARCH 23, 2015

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization The main motive of the Hadoop 2.0 Earlier there was one Hadoop NameNode for maintaining the tree hierarchy of the HDFS files and tracking the data storage in the cluster. With Hadoop 2.0, With Hadoop 2.0,

Hadoop 40

Hadoop Big Data Architecture Metadata 40

Data Engineering Podcast

JANUARY 28, 2018

Links Dat Project Code For Science and Society Neuroscience Cell Biology OpenCon Mozilla Science Open Education Open Access Open Data Fortune 500 Data Warehouse Knight Foundation Alfred P. And that supports us it’s called debt in the lab, and I can get you a link to it on our blog. And now, that project started 2016.

Data 100

Data Project Electronics Data Management 100

ProjectPro

DECEMBER 10, 2021

This blog covers the top 50 most frequently asked Azure interview questions and answers. Well, this Azure interview questions and answers blog will help you land your dream cloud computing job role! The service provider's data center hosts the underlying infrastructure, software, and app data. Explain Azure Redis Cache.

BI 52

BI Cloud Computing SQL Database 52