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The top 15 big data and data analytics certifications

CIO

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 313
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From Hive Tables to Iceberg Tables: Hassle-Free

Cloudera

Introduction For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. Depending on the size and usage patterns of the data, several different strategies could be pursued to achieve a successful migration.

Backup 71
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Metadata Management: Process, Tools, Use Cases, and Best Practices

Altexsoft

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. Metadata storage. Data lineage graph. Source: Oracle.

Tools 59
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DBFS (Databricks File System) in Apache Spark

Perficient

In the world of big data processing, efficient and scalable file systems play a crucial role. DBFS is a distributed file system that comes integrated with Databricks, a unified analytics platform designed to simplify big data processing and machine learning tasks. What is DBFS? How does DBFS work?

System 52
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The Good and the Bad of Microsoft Power BI Data Visualization

Altexsoft

Marketing departments can track how successful their campaigns perform, predict customer churn , and conduct sentiment analysis. Executives and managers can use the platform to monitor the overall company performance, discover important market trends, and run what-if scenarios to make most effective strategic decisions.

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Introducing Apache Iceberg in Cloudera Data Platform

Cloudera

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists.

Data 110
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The Good and the Bad of Docker Containers

Altexsoft

A container engine acts as an interface between the containers and a host operating system and allocates the required resources. Containers require fewer host resources such as processing power, RAM, and storage space than virtual machines. Then deploy the containers and load balance them to see the performance. in 2015.