Knowledge Hut

JANUARY 16, 2024

Look at the stats that show a positive trend for machine learning projects and careers. Another study from Indeed, the online job portal giant, revealed that machine learning engineers, data scientists, and software engineers with these skills are topping the list of most in-demand professionals. Machine learning produces predictions.

Machine Learning 94

Machine Learning Engineering Programming Language Algorithm 94

Towards Data Science

MARCH 17, 2023

Take advantage of the distributive power of Apache Spark and concurrently train thousands of auto-regressive time-series models on big data Photo by Ricardo Gomez Angel on Unsplash 1. I believe that this is quite a common task for many data scientists and machine learning engineers working with SaaS or retail customer data.

Datasets 78

Datasets Scala Machine Learning SQL 78

Knowledge Hut

DECEMBER 21, 2023

In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

ProjectPro

JUNE 18, 2021

Why do data scientists prefer Python over Java? Java vs Python for Data Science- Which is better? These are the most common questions that our ProjectAdvisors get asked a lot from beginners getting started with a data science career. Why do data scientists love Python for Data Science? renamed to Java.

Java 52

Java Data Science Python Programming Language 52

ProjectPro

DECEMBER 28, 2021

The digital economy is driven by data disrupting industries across the globe with increasing number of companies wanting to glean valuable insights from real-time data. Allied Market Research estimated the global big data and business analytics market to be valued at $198.08 Table of Contents What is Spark streaming?

Architecture 52

Architecture Kafka Java Scala 52

ProjectPro

JUNE 24, 2021

According to Gartner , organizations can suffer a financial loss of up to 15 million dollars for the poor quality of data. As per McKinsey , 47% of organizations believe that data analytics has impacted the market in their respective industries. This number grew to 67.9% as of 2018, and is only increasing from there.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

JANUARY 24, 2023

Amazon SageMaker is a fully managed machine learning platform that allows data scientists and developers to build, train, and deploy machine learning models quickly and easily. There are numerous capabilities of Amazon SageMaker that any developer or data scientist can leverage. How to Prepare Data using Amazon SageMaker?

Building 52

Building Algorithm Machine Learning AWS 52

ProjectPro

DECEMBER 21, 2021

The machine learning career path is perfect for you if you are curious about data, automation, and algorithms, as your days will be crammed with analyzing, implementing, and automating large amounts of knowledge. This includes knowledge of data structures (such as stack, queue, tree, etc.), billion in 2028?

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

ProjectPro

NOVEMBER 22, 2021

According to the Businesswire report , the worldwide big data as a service market is estimated to grow at a CAGR of 36.9% This clearly indicates that the need for Big Data Engineers and Specialists would surge in the future years. Apart from this, Runtastic also relies upon PySpark for their Big Data sanity checks.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

NOVEMBER 11, 2014

Confused over which framework to choose for big data processing - Hadoop MapReduce vs. Apache Spark. This blog helps you understand the critical differences between two popular big data frameworks. Hadoop and Spark are popular apache projects in the big data ecosystem.

Hadoop 40

Hadoop Scala Machine Learning Java 40

Zalando Engineering

MAY 30, 2016

Longread: 15 minutes/3,282 words Zalando’s vision of growing from an online fashion retailer to a fashion platform not only opens up internal Zalando services to external partners, but also dramatically increases the amount of data that flows through the company's backend. This post is about the journey of this migration.

Scala 40

Scala Python Machine Learning Data Science 40

AltexSoft

JULY 18, 2023

On the other hand, the term spark often brings to mind a tiny particle that, despite its size, can start a large fire. These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. What is Apache Spark?

Big Data 52

Big Data Data Process Process Hadoop 52

AltexSoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

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Big Data Data Analytics IT NoSQL 78

AltexSoft

NOVEMBER 10, 2021

Well, there’s a new phenomenon in data management that received the name of a data lakehouse. The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse?

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

AltexSoft

MARCH 30, 2023

The answer is simple: They use the same technology to make the most of data. Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. The relatively new storage architecture powering Databricks is called a data lakehouse.

Scala 64

Scala Data Lake BI Google Cloud 64