Christophe Blefari

APRIL 8, 2023

I was in the Hadoop world and all I was doing was denormalisation. At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. If you want to go deeper to me Dozer looks like Materialize or Popsink but with a different vision, offering more an API as a serving layer than a database. Roboto AI raises $4.8m

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Data Engineering Weekly

JUNE 2, 2024

link] Sponsored: DoubleCloud - More than just ClickHouse ClickHouse is the fastest, most resource-efficient OLAP database, which queries billions of rows in milliseconds and is trusted by thousands of companies for real-time analytics. The author highlights the structured approach to building data infrastructure, data management, and metrics.

Data Engineering 103

Data Engineering Data Engineer Engineering Pipeline-centric 103

Confluent

SEPTEMBER 25, 2019

Of course, this is not to imply that companies will become only software (there are still plenty of people in even the most software-centric companies), just that the full scope of the business is captured in an integrated software defined process. Here, the bank loan business division has essentially become software.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56

ProjectPro

MAY 19, 2015

It is possible today for organizations to store all the data generated by their business at an affordable price-all thanks to Hadoop, the Sirius star in the cluster of million stars. With Hadoop, even the impossible things look so trivial. So the big question is how is learning Hadoop helpful to you as an individual?

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

U-Next

AUGUST 17, 2022

SQL – A database may be used to build data warehousing, combine it with other technologies, and analyze the data for commercial reasons with the help of strong SQL abilities. Hadoop Apache Data Engineers utilize the open-source Hadoop platform to store and process enormous volumes of data.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Cloudera

SEPTEMBER 17, 2020

For the majority of Spark’s existence, the typical deployment model has been within the context of Hadoop clusters with YARN running on VM or physical servers. We built DE with an API centric approach to streamline data pipeline automation to any analytic workflow downstream. Let’s take a technical look at what’s included.

Data Pipeline 104

Data Pipeline Data Engineering Data Engineer Engineering 104

ProjectPro

APRIL 2, 2015

Retail industry is rapidly adopting the data centric technology to boost sales. Thus, it is extremely important for retailers to employ sentiment analysis using Hadoop, for precise and accurate predictions as the customers are unforgiving. Retail big data analytics is the future of retail as it separates the wheat from the chaff.

Retail 40

Retail Hadoop Big Data Data Mining 40

Dataquest

JANUARY 25, 2017

Most companies store their data in variety of formats across databases and text files. You’ll have a few different data stores: The database that backs your main app. Ride database. Customer service database. You’ll then need to store the parsed logs in a database, so they can easily be queried by the API.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

ProjectPro

JUNE 1, 2015

Slowly but steadily the healthcare industry is becoming much more connected and more patient centric, due to Big Data in healthcare. Big Trends in Healthcare Industry 50 years back healthcare services were mostly physician centric. The databases and the RDBMS are creating these records. Some elements are already in practice.

Healthcare 52

Healthcare Big Data Database-centric Hospitality 52

ProjectPro

MARCH 19, 2015

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. There is a need for a database technology that can render 24/7 support to store, process and analyze this data. Table of Contents Can the conventional SQL scale up to these requirements?

NoSQL 49

NoSQL Big Data SQL Database-centric 49

Knowledge Hut

DECEMBER 27, 2023

Many business owners and professionals are interested in harnessing the power locked in Big Data using Hadoop often pursue Big Data and Hadoop Training. Often stored in computer databases or the cloud and is analyzed using software specifically designed to handle large, complex data sets. What is Big Data?

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Knowledge Hut

FEBRUARY 27, 2023

In large organizations, data engineers concentrate on analytical databases, operate data warehouses that span multiple databases, and are responsible for developing table schemas. Data engineering builds data pipelines for core professionals like data scientists, consumers, and data-centric applications.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

AltexSoft

JULY 18, 2023

Datasets: RDDs can contain any type of data and can be created from data stored in local filesystems, HDFS (Hadoop Distributed File System), databases, or data generated through transformations on existing RDDs. In scenarios where these conditions are met, Spark can significantly outperform Hadoop MapReduce.

Big Data 52

Big Data Data Process Process Hadoop 52

Ascend.io

SEPTEMBER 14, 2023

It's specialized for database querying. Interpreter / Compiler Interpreted Executed by a database engine, interpreting and executing SQL statements. Declarative and straightforward for database tasks. Its ecosystem revolves around database management and querying. Primarily tailored for database tasks.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Knowledge Hut

JUNE 20, 2023

Pipeline-Centric Engineer: These data engineers prefer to serve in distributed systems and more challenging projects of data science with a midsize data analytics team. Database-Centric Engineer: The implementation, upkeep, and populating of analytics databases are the responsibilities of a Database-Centric Engineer.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 15, 2023

Looking for a position to test my skills in implementing data-centric solutions for complicated business challenges. I will use my expertise acquired from the Big Data and Hadoop course and certification to process and analyze the data, and to identify trends and patterns.

Finance 98

Finance Database-centric Certification Business Intelligence 98

Knowledge Hut

NOVEMBER 17, 2023

Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice. To be an Azure Data Engineer, you must have a working knowledge of SQL (Structured Query Language), which is used to extract and manipulate data from relational databases. Learn how to process and analyze large datasets efficiently.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Grouparoo

OCTOBER 6, 2021

42 Learn to Use a NoSQL Database, but Not like an RDBMS Write answers to questions in NoSQL databases for fast access 43 Let the Robots Enforce the Rules Work with people to standardize and use code to enforce rules 44 Listen to Your Users—but Not Too Much Create a data team vision and strategy. Increase visibility.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

SEPTEMBER 26, 2023

It offers a wide range of services, including computing, storage, databases, machine learning, and analytics, making it a versatile choice for businesses looking to harness the power of the cloud. This cloud-centric approach ensures scalability, flexibility, and cost-efficiency for your data workloads.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Knowledge Hut

JANUARY 24, 2024

Tool Proficiency: Utilizing a diverse set of tools and technologies, including R, Tableau, Python, Matlab, Hive, Impala, PySpark, Excel, Hadoop, SQL, and SAS, to manipulate and analyze data efficiently. However, beneath the surface of these data-centric activities lies the core role of a data scientist – that of a problem solver.

Database-centric 52

Database-centric Data Science Machine Learning Algorithm 52

Knowledge Hut

JANUARY 30, 2024

Data extraction is the vital process of retrieving raw data from diverse sources, such as databases, Excel spreadsheets, SaaS platforms, or web scraping efforts. Identifying customer segments based on purchase behavior in a sales database. What is data extraction? Patterns, trends, relationships, and knowledge discovered from the data.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

ProjectPro

JULY 30, 2021

Map-reduce - Map-reduce enables users to use resizable Hadoop clusters within Amazon infrastructure. Amazon’s counterpart of this is called Amazon EMR ( Elastic Map-Reduce) Hadoop - Hadoop allows clustering of hardware to analyse large sets of data in parallel. Use cases are in-memory caches and open-source databases.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

AUGUST 18, 2021

Unsurprisingly, the world has become data-centric, and companies digitally store more than 90% of the global data. Tableau supports data extraction from simple data storage systems such as MS Excel or MS Access and intricate database systems like Oracle. We can also render visualizations without even a database connection.

BI 40

BI SQL Database-centric Software Engineering 40

ProjectPro

SEPTEMBER 11, 2021

RUP is a procedure of software development that is “iterative, architecture-centric, and use-case driven” The RUP method involves listing requirements as use cases, which helps keep track of value to the lone business stakeholders for each piece of serviceability. What is a database cursor? What is the RUP method?

Business Analyst 52

Business Analyst Database-centric MySQL SQL 52