Knowledge Hut

SEPTEMBER 6, 2023

Certification Provider : IBM Duration : ~5 months at 10 hours a week Cost : $98 USD Importance : Learn to create, design, & manage relational databases & apply database administration (DBA) concepts to RDBMSs such as MySQL, PostgreSQL, & IBM Db2. Learn to work on Hadoop MapReduce using HDFS , Pig, Hive, etc.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

JULY 24, 2023

It is perfect for sectors like banking, finance, and healthcare that demand higher security and privacy since it offers a tamper-proof, unchangeable record of all transactions. Types of Databases at Present There are many types of databases at present, and more are being developed as you read.

Database 52

Database NoSQL Management Relational Database 52

Knowledge Hut

DECEMBER 26, 2023

SQL Database SQL or Structured Query Language is a programming language that allows a user to store, query, and manipulate data in relational database management systems. NoSQL is a distributed data storage that is becoming increasingly popular. As a Data engineer, you need to be quite proficient in SQL and NoSQL.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

JANUARY 31, 2023

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. NoSQL, for example, may not be appropriate for message queues.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

OCTOBER 28, 2015

The major difference between Sqoop and Flume is that Sqoop is used for loading data from relational databases into HDFS while Flume is used to capture a stream of moving data. The data sources can refer to databases, machine data, web APIs, relational databases, flat files, log files, and RSS (RDF Site Summary) feeds, to name a few.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

AltexSoft

JULY 29, 2022

Many industries, from manufacturing to banking to transportation, take advantage of what Hadoop can offer. On top of HDFS, the Hadoop ecosystem provides HBase , a NoSQL database designed to host large tables, with billions of rows and millions of columns. MongoDB: an NoSQL database with additional features.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Confluent

SEPTEMBER 25, 2019

To make clear what I mean, let’s look at an example: the loan approval process from a consumer bank. Traditionally this was a multi-week process where individuals such as a bank agent, mortgage officer, and credit officer each collaborated in a manual process. Here, the bank loan business division has essentially become software.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56

AltexSoft

NOVEMBER 23, 2021

Global investment bank: Cost reduction with more scalable and effective data management. In 2018, a multinational investment bank cooperated with a fintech company to present a digital data management platform. With a logical data layer built, the two organizations got a single source of truth for all data.

Process 69

Process Data Lake Metadata Data Warehouse 69

U-Next

AUGUST 11, 2022

The proliferation of tech-enabled activities in industries like Banking, Insurance, the Internet and e-commerce sectors means that data generation takes place in mind-boggling quantities every minute. . While you may have access to an existing database, at times, you may need to build one from scratch.

Data Science 40

Data Science Relational Database PostgreSQL MongoDB 40

Knowledge Hut

DECEMBER 26, 2023

Relational and non-relational databases, such as RDBMS, NoSQL, and NewSQL databases. Learn how big data transform banking, law, hospitality, fashion, and science. Key Benefits Learn how predictive analytics aids in customer understanding at Amazon, Target, John Deere, and Apple.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

Rockset

FEBRUARY 17, 2022

The NoSQL movement is continuing to mature after fifteen years of innovation. Even our trusty relational database systems are scaling further than ever before. That’s true for almost every business scenario; no matter if you work in retail, banking, insurance, automotive, manufacturing, or any other industry.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52